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@article{DBLP:journals/ml/AKM21, author = {Prashanth L. A. and Nathaniel Korda and R{\'{e}}mi Munos}, title = {Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {559--618}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05912-5}, doi = {10.1007/S10994-020-05912-5}, timestamp = {Wed, 07 Apr 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/AKM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AchenchabeBCD21, author = {Youssef Achenchabe and Alexis Bondu and Antoine Cornu{\'{e}}jols and Asma Dachraoui}, title = {Early classification of time series}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1481--1504}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05974-z}, doi = {10.1007/S10994-021-05974-Z}, timestamp = {Tue, 13 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/AchenchabeBCD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AdewoyinDWHD21, author = {Rilwan A. Adewoyin and Peter Dueben and Peter Watson and Yulan He and Ritabrata Dutta}, title = {{TRU-NET:} a deep learning approach to high resolution prediction of rainfall}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2035--2062}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06022-6}, doi = {10.1007/S10994-021-06022-6}, timestamp = {Tue, 21 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/AdewoyinDWHD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AiMHGS21, author = {Lun Ai and Stephen H. Muggleton and C{\'{e}}line Hocquette and Mark Gromowski and Ute Schmid}, title = {Beneficial and harmful explanatory machine learning}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {695--721}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05941-0}, doi = {10.1007/S10994-020-05941-0}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/AiMHGS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AkrourAP21, author = {Riad Akrour and Asma Atamna and Jan Peters}, title = {Convex optimization with an interpolation-based projection and its application to deep learning}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2267--2289}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06037-z}, doi = {10.1007/S10994-021-06037-Z}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/AkrourAP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AkuzawaIM21, author = {Kei Akuzawa and Yusuke Iwasawa and Yutaka Matsuo}, title = {Information-theoretic regularization for learning global features by sequential {VAE}}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2239--2266}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06032-4}, doi = {10.1007/S10994-021-06032-4}, timestamp = {Mon, 23 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/AkuzawaIM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AndradeO21, author = {Daniel Andrade and Yuzuru Okajima}, title = {Adaptive covariate acquisition for minimizing total cost of classification}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {1067--1104}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05958-z}, doi = {10.1007/S10994-021-05958-Z}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/AndradeO21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/AppiceEGT21, author = {Annalisa Appice and Sergio Escalera and Jos{\'{e}} A. G{\'{a}}mez and Heike Trautmann}, title = {Introduction to the special issue of the {ECML} {PKDD} 2021 journal track}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2991--2992}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06062-y}, doi = {10.1007/S10994-021-06062-Y}, timestamp = {Mon, 03 Jan 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/AppiceEGT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BakirovFG21, author = {Rashid Bakirov and Damien Fay and Bogdan Gabrys}, title = {Automated adaptation strategies for stream learning}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1429--1462}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05992-x}, doi = {10.1007/S10994-021-05992-X}, timestamp = {Thu, 23 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BakirovFG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BejDWNW21, author = {Saptarshi Bej and Narek Davtyan and Markus Wolfien and Mariam Nassar and Olaf Wolkenhauer}, title = {LoRAS: an oversampling approach for imbalanced datasets}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {279--301}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05913-4}, doi = {10.1007/S10994-020-05913-4}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BejDWNW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BelogolovskyKMT21, author = {Stav Belogolovsky and Philip Korsunsky and Shie Mannor and Chen Tessler and Tom Zahavy}, title = {Inverse reinforcement learning in contextual MDPs}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2295--2334}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05984-x}, doi = {10.1007/S10994-021-05984-X}, timestamp = {Sun, 06 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BelogolovskyKMT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BemporadP21, author = {Alberto Bemporad and Dario Piga}, title = {Global optimization based on active preference learning with radial basis functions}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {417--448}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05935-y}, doi = {10.1007/S10994-020-05935-Y}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BemporadP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BenavoliAP21, author = {Alessio Benavoli and Dario Azzimonti and Dario Piga}, title = {A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3095--3133}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06039-x}, doi = {10.1007/S10994-021-06039-X}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/BenavoliAP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BertsimasOP21, author = {Dimitris Bertsimas and Agni Orfanoudaki and Colin Pawlowski}, title = {Imputation of clinical covariates in time series}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {185--248}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05923-2}, doi = {10.1007/S10994-020-05923-2}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BertsimasOP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BertsimasOW21, author = {Dimitris Bertsimas and Agni Orfanoudaki and Holly M. Wiberg}, title = {Interpretable clustering: an optimization approach}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {89--138}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05896-2}, doi = {10.1007/S10994-020-05896-2}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BertsimasOW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BertsimasPP21, author = {Dimitris Bertsimas and Jean Pauphilet and Bart P. G. Van Parys}, title = {Sparse classification: a scalable discrete optimization perspective}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3177--3209}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06085-5}, doi = {10.1007/S10994-021-06085-5}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BertsimasPP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BertsimasS21, author = {Dimitris Bertsimas and Bartolomeo Stellato}, title = {The voice of optimization}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {249--277}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05893-5}, doi = {10.1007/S10994-020-05893-5}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BertsimasS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BoubekkiKBJ21, author = {Ahc{\`{e}}ne Boubekki and Michael Kampffmeyer and Ulf Brefeld and Robert Jenssen}, title = {Joint optimization of an autoencoder for clustering and embedding}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1901--1937}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06015-5}, doi = {10.1007/S10994-021-06015-5}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BoubekkiKBJ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/BoukasETBHBWC21, author = {Ioannis Boukas and Damien Ernst and Thibaut Th{\'{e}}ate and Adrien Bolland and Alexandre Huynen and Martin Buchwald and Christelle Wynants and Bertrand Corn{\'{e}}lusse}, title = {A deep reinforcement learning framework for continuous intraday market bidding}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2335--2387}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06020-8}, doi = {10.1007/S10994-021-06020-8}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/BoukasETBHBWC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/CaiGLSWWG21, author = {William Cai and Josh Grossman and Zhiyuan (Jerry) Lin and Hao Sheng and Johnny Tian{-}Zheng Wei and Joseph Jay Williams and Sharad Goel}, title = {Bandit algorithms to personalize educational chatbots}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2389--2418}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05983-y}, doi = {10.1007/S10994-021-05983-Y}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/CaiGLSWWG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/CaoLSAZ21, author = {Yueqi Cao and Didong Li and Huafei Sun and Amir H. Assadi and Shiqiang Zhang}, title = {Efficient Weingarten map and curvature estimation on manifolds}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1319--1344}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05953-4}, doi = {10.1007/S10994-021-05953-4}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/CaoLSAZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ChenGZC21, author = {Jiyu Chen and Yiwen Guo and Qianjun Zheng and Hao Chen}, title = {Protect privacy of deep classification networks by exploiting their generative power}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {651--674}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05951-6}, doi = {10.1007/S10994-021-05951-6}, timestamp = {Wed, 20 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ChenGZC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ChenHJHAH21, author = {Jiaoyan Chen and Pan Hu and Ernesto Jim{\'{e}}nez{-}Ruiz and Ole Magnus Holter and Denvar Antonyrajah and Ian Horrocks}, title = {OWL2Vec*: embedding of {OWL} ontologies}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1813--1845}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05997-6}, doi = {10.1007/S10994-021-05997-6}, timestamp = {Mon, 03 Jun 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ChenHJHAH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ChenLM21, author = {Kai Chen and Twan van Laarhoven and Elena Marchiori}, title = {Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2213--2238}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06031-5}, doi = {10.1007/S10994-021-06031-5}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ChenLM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ConverseCOT21, author = {Geoffrey A. Converse and Mariana Curi and Suely Oliveira and Jonathan Templin}, title = {Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1463--1480}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06005-7}, doi = {10.1007/S10994-021-06005-7}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ConverseCOT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/CropperM21, author = {Andrew Cropper and Rolf Morel}, title = {Learning programs by learning from failures}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {801--856}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05934-z}, doi = {10.1007/S10994-020-05934-Z}, timestamp = {Tue, 01 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/CropperM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/DashSV21, author = {Tirtharaj Dash and Ashwin Srinivasan and Lovekesh Vig}, title = {Incorporating symbolic domain knowledge into graph neural networks}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1609--1636}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05966-z}, doi = {10.1007/S10994-021-05966-Z}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/DashSV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/Dulac-ArnoldLML21, author = {Gabriel Dulac{-}Arnold and Nir Levine and Daniel J. Mankowitz and Jerry Li and Cosmin Paduraru and Sven Gowal and Todd Hester}, title = {Challenges of real-world reinforcement learning: definitions, benchmarks and analysis}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2419--2468}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05961-4}, doi = {10.1007/S10994-021-05961-4}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/Dulac-ArnoldLML21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/EmbarSG21, author = {Varun Embar and Sriram Srinivasan and Lise Getoor}, title = {A comparison of statistical relational learning and graph neural networks for aggregate graph queries}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1847--1866}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06007-5}, doi = {10.1007/S10994-021-06007-5}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/EmbarSG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/FadjaRL21, author = {Arnaud Nguembang Fadja and Fabrizio Riguzzi and Evelina Lamma}, title = {Learning hierarchical probabilistic logic programs}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1637--1693}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06016-4}, doi = {10.1007/S10994-021-06016-4}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/FadjaRL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/FernandesAGA21, author = {Sofia Fernandes and M{\'{a}}rio Antunes and Diogo Gomes and Rui L. Aguiar}, title = {Misalignment problem in matrix decomposition with missing values}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3157--3175}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05985-w}, doi = {10.1007/S10994-021-05985-W}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/FernandesAGA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/FernandezBC21, author = {Javier Fern{\'{a}}ndez and Luke Bornn and Daniel Cervone}, title = {A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1389--1427}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05989-6}, doi = {10.1007/S10994-021-05989-6}, timestamp = {Fri, 23 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/FernandezBC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/GaddWS21, author = {Charles W. L. Gadd and Sara Wade and Akeel A. Shah}, title = {Pseudo-marginal Bayesian inference for Gaussian process latent variable models}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1105--1143}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05971-2}, doi = {10.1007/S10994-021-05971-2}, timestamp = {Fri, 22 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/GaddWS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/GiffonEKR21, author = {Luc Giffon and Valentin Emiya and Hachem Kadri and Liva Ralaivola}, title = {QuicK-means: accelerating inference for K-means by learning fast transforms}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {881--905}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05965-0}, doi = {10.1007/S10994-021-05965-0}, timestamp = {Tue, 15 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/GiffonEKR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/GneccoNS21, author = {Giorgio Gnecco and Federico Nutarelli and Daniela Selvi}, title = {Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1549--1584}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05976-x}, doi = {10.1007/S10994-021-05976-X}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/GneccoNS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/GoukFPC21, author = {Henry Gouk and Eibe Frank and Bernhard Pfahringer and Michael J. Cree}, title = {Regularisation of neural networks by enforcing Lipschitz continuity}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {393--416}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05929-w}, doi = {10.1007/S10994-020-05929-W}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/GoukFPC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HaddenhorstBH21, author = {Bj{\"{o}}rn Haddenhorst and Viktor Bengs and Eyke H{\"{u}}llermeier}, title = {On testing transitivity in online preference learning}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2063--2084}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06026-2}, doi = {10.1007/S10994-021-06026-2}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HaddenhorstBH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HandCK21, author = {David J. Hand and Peter Christen and Nishadi Kirielle}, title = {F*: an interpretable transformation of the F-measure}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {451--456}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05964-1}, doi = {10.1007/S10994-021-05964-1}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HandCK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HannaDKWS21, author = {Josiah P. Hanna and Siddharth Desai and Haresh Karnan and Garrett Warnell and Peter Stone}, title = {Grounded action transformation for sim-to-real reinforcement learning}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2469--2499}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05982-z}, doi = {10.1007/S10994-021-05982-Z}, timestamp = {Thu, 16 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HannaDKWS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HannaNS21, author = {Josiah P. Hanna and Scott Niekum and Peter Stone}, title = {Importance sampling in reinforcement learning with an estimated behavior policy}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1267--1317}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05938-9}, doi = {10.1007/S10994-020-05938-9}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/HannaNS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/Heinze-DemlM21, author = {Christina Heinze{-}Deml and Nicolai Meinshausen}, title = {Conditional variance penalties and domain shift robustness}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {303--348}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05924-1}, doi = {10.1007/S10994-020-05924-1}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/Heinze-DemlM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HendryxRR21, author = {Emily P. Hendryx and Beatrice M. Riviere and Craig G. Rusin}, title = {An extended {DEIM} algorithm for subset selection and class identification}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {621--650}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05954-3}, doi = {10.1007/S10994-021-05954-3}, timestamp = {Tue, 28 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HendryxRR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HullermeierW21, author = {Eyke H{\"{u}}llermeier and Willem Waegeman}, title = {Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {457--506}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05946-3}, doi = {10.1007/S10994-021-05946-3}, timestamp = {Fri, 14 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HullermeierW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/HuyukT21, author = {Alihan H{\"{u}}y{\"{u}}k and Cem Tekin}, title = {Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1233--1266}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05956-1}, doi = {10.1007/S10994-021-05956-1}, timestamp = {Tue, 13 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/HuyukT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/JiangXWLD21, author = {Haiyan Jiang and Haoyi Xiong and Dongrui Wu and Ji Liu and Dejing Dou}, title = {AgFlow: fast model selection of penalized {PCA} via implicit regularization effects of gradient flow}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2131--2150}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06025-3}, doi = {10.1007/S10994-021-06025-3}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/JiangXWLD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/JungS21, author = {Jinhong Jung and Lee Sael}, title = {Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {449}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05933-0}, doi = {10.1007/S10994-020-05933-0}, timestamp = {Thu, 11 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/JungS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/JungS21a, author = {Jinhong Jung and Lee Sael}, title = {Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {619--620}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05936-x}, doi = {10.1007/S10994-020-05936-X}, timestamp = {Wed, 07 Apr 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/JungS21a.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KangGLSB21, author = {Bo Kang and Dario Garc{\'{\i}}a{-}Garc{\'{\i}}a and Jefrey Lijffijt and Ra{\'{u}}l Santos{-}Rodr{\'{\i}}guez and Tijl De Bie}, title = {Conditional t-SNE: more informative t-SNE embeddings}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2905--2940}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05917-0}, doi = {10.1007/S10994-020-05917-0}, timestamp = {Tue, 21 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/KangGLSB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KerdoncuffES21, author = {Tanguy Kerdoncuff and R{\'{e}}mi Emonet and Marc Sebban}, title = {Sampled Gromov Wasserstein}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2151--2186}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06035-1}, doi = {10.1007/S10994-021-06035-1}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KerdoncuffES21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KimMYKC21, author = {Jungtaek Kim and Michael McCourt and Tackgeun You and Saehoon Kim and Seungjin Choi}, title = {Bayesian optimization with approximate set kernels}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {857--879}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05949-0}, doi = {10.1007/S10994-021-05949-0}, timestamp = {Fri, 04 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KimMYKC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KlopfensteinV21, author = {Quentin Klopfenstein and Samuel Vaiter}, title = {Linear support vector regression with linear constraints}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1939--1974}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06018-2}, doi = {10.1007/S10994-021-06018-2}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KlopfensteinV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KongLL21, author = {Hao Kong and Canyi Lu and Zhouchen Lin}, title = {Tensor Q-rank: new data dependent definition of tensor rank}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1867--1900}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05987-8}, doi = {10.1007/S10994-021-05987-8}, timestamp = {Tue, 13 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KongLL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KopetzkiG21, author = {Anna{-}Kathrin Kopetzki and Stephan G{\"{u}}nnemann}, title = {Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1175--1197}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05973-0}, doi = {10.1007/S10994-021-05973-0}, timestamp = {Tue, 13 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KopetzkiG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KottkeHSHKS21, author = {Daniel Kottke and Marek Herde and Christoph Sandrock and Denis Huseljic and Georg Krempl and Bernhard Sick}, title = {Toward optimal probabilistic active learning using a Bayesian approach}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1199--1231}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05986-9}, doi = {10.1007/S10994-021-05986-9}, timestamp = {Tue, 13 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/KottkeHSHKS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KoziarskiBW21, author = {Michal Koziarski and Colin Bellinger and Michal Wozniak}, title = {{RB-CCR:} Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3059--3093}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06012-8}, doi = {10.1007/S10994-021-06012-8}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/KoziarskiBW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/Krawczyk21, author = {Bartosz Krawczyk}, title = {Tensor decision trees for continual learning from drifting data streams}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3015--3035}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06054-y}, doi = {10.1007/S10994-021-06054-Y}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/Krawczyk21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KrishnanBFFR21, author = {Srivatsan Krishnan and Behzad Boroujerdian and William Fu and Aleksandra Faust and Vijay Janapa Reddi}, title = {Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2501--2540}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06006-6}, doi = {10.1007/S10994-021-06006-6}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/KrishnanBFFR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/KrlezaVB21, author = {Dalibor Krleza and Boris Vrdoljak and Mario Brcic}, title = {Statistical hierarchical clustering algorithm for outlier detection in evolving data streams}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {139--184}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05905-4}, doi = {10.1007/S10994-020-05905-4}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/KrlezaVB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/LiGLSW21, author = {Yuxi Li and Alborz Geramifard and Lihong Li and Csaba Szepesv{\'{a}}ri and Tao Wang}, title = {Guest editorial: special issue on reinforcement learning for real life}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2291--2293}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06041-3}, doi = {10.1007/S10994-021-06041-3}, timestamp = {Tue, 30 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/LiGLSW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/LiWOW21, author = {Ximing Li and Yang Wang and Jihong Ouyang and Meng Wang}, title = {Topic extraction from extremely short texts with variational manifold regularization}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {1029--1066}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05962-3}, doi = {10.1007/S10994-021-05962-3}, timestamp = {Thu, 22 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/LiWOW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/LiangCWW21, author = {Jiye Liang and Junbiao Cui and Jie Wang and Wei Wei}, title = {Graph-based semi-supervised learning via improving the quality of the graph dynamically}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1345--1388}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05975-y}, doi = {10.1007/S10994-021-05975-Y}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/LiangCWW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/LikmetaMRTGR21, author = {Amarildo Likmeta and Alberto Maria Metelli and Giorgia Ramponi and Andrea Tirinzoni and Matteo Giuliani and Marcello Restelli}, title = {Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2541--2576}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05939-8}, doi = {10.1007/S10994-020-05939-8}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/LikmetaMRTGR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/LiuSHYS21, author = {Fanghui Liu and Lei Shi and Xiaolin Huang and Jie Yang and Johan A. K. Suykens}, title = {Analysis of regularized least-squares in reproducing kernel Kre{\u{\i}}n spaces}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1145--1173}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05955-2}, doi = {10.1007/S10994-021-05955-2}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/LiuSHYS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/MeliSF21, author = {Daniele Meli and Mohan Sridharan and Paolo Fiorini}, title = {Inductive learning of answer set programs for autonomous surgical task planning}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1739--1763}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06013-7}, doi = {10.1007/S10994-021-06013-7}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/MeliSF21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/MiddlehurstLFLB21, author = {Matthew Middlehurst and James Large and Michael Flynn and Jason Lines and Aaron Bostrom and Anthony J. Bagnall}, title = {{HIVE-COTE} 2.0: a new meta ensemble for time series classification}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3211--3243}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06057-9}, doi = {10.1007/S10994-021-06057-9}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/MiddlehurstLFLB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/Mizutani21, author = {Tomohiko Mizutani}, title = {Convex programming based spectral clustering}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {933--964}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05940-1}, doi = {10.1007/S10994-020-05940-1}, timestamp = {Tue, 01 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/Mizutani21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/MukhotyDK21, author = {Bhaskar Mukhoty and Subhajit Dutta and Purushottam Kar}, title = {Robust non-parametric regression via incoherent subspace projections}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2941--2989}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06045-z}, doi = {10.1007/S10994-021-06045-Z}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/MukhotyDK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/NahshanCBZBBM21, author = {Yury Nahshan and Brian Chmiel and Chaim Baskin and Evgenii Zheltonozhskii and Ron Banner and Alex M. Bronstein and Avi Mendelson}, title = {Loss aware post-training quantization}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3245--3262}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06053-z}, doi = {10.1007/S10994-021-06053-Z}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/NahshanCBZBBM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/NguyenNM21, author = {Dai Hai Nguyen and Canh Hao Nguyen and Hiroshi Mamitsuka}, title = {Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1585--1607}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05991-y}, doi = {10.1007/S10994-021-05991-Y}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/NguyenNM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/OchandoFH21, author = {Lidia Contreras Ochando and C{\`{e}}sar Ferri and Jos{\'{e}} Hern{\'{a}}ndez{-}Orallo}, title = {{AUTOMAT[R]IX:} learning simple matrix pipelines}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {779--799}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05950-7}, doi = {10.1007/S10994-021-05950-7}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/OchandoFH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/PanosDT21, author = {Aristeidis Panos and Petros Dellaportas and Michalis K. Titsias}, title = {Large scale multi-label learning using Gaussian processes}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {965--987}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05952-5}, doi = {10.1007/S10994-021-05952-5}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/PanosDT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/PatsantzisM21, author = {Stassa Patsantzis and Stephen H. Muggleton}, title = {Top program construction and reduction for polynomial time Meta-Interpretive learning}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {755--778}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05945-w}, doi = {10.1007/S10994-020-05945-W}, timestamp = {Wed, 01 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/PatsantzisM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/PintoPN21, author = {Jos{\'{e}} Pedro Pinto and Andr{\'{e}} Pimenta and Paulo Novais}, title = {Deep learning and multivariate time series for cheat detection in video games}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3037--3057}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06055-x}, doi = {10.1007/S10994-021-06055-X}, timestamp = {Sat, 25 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/PintoPN21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/QianAS21, author = {Zhaozhi Qian and Ahmed M. Alaa and Mihaela van der Schaar}, title = {{CPAS:} the UK's national machine learning-based hospital capacity planning system for {COVID-19}}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {15--35}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05921-4}, doi = {10.1007/S10994-020-05921-4}, timestamp = {Tue, 01 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/QianAS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/RiguzziBZAL21, author = {Fabrizio Riguzzi and Elena Bellodi and Riccardo Zese and Marco Alberti and Evelina Lamma}, title = {Probabilistic inductive constraint logic}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {723--754}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05911-6}, doi = {10.1007/S10994-020-05911-6}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/RiguzziBZAL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/RomeCKZ21, author = {Scott Rome and Tianwen Chen and Michael Kreisel and Ding Zhou}, title = {Lessons on off-policy methods from a notification component of a chatbot}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2577--2602}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05978-9}, doi = {10.1007/S10994-021-05978-9}, timestamp = {Thu, 16 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/RomeCKZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SchaarAFGSWMJLE21, author = {Mihaela van der Schaar and Ahmed M. Alaa and R. Andres Floto and Alexander Gimson and Stefan Scholtes and Angela M. Wood and Eoin F. McKinney and Daniel Jarrett and Pietro Li{\'{o}} and Ari Ercole}, title = {How artificial intelligence and machine learning can help healthcare systems respond to {COVID-19}}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {1--14}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05928-x}, doi = {10.1007/S10994-020-05928-X}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/SchaarAFGSWMJLE21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SebertPZGS21, author = {Arnaud Grivet S{\'{e}}bert and Rafael Pinot and Martin Zuber and C{\'{e}}dric Gouy{-}Pailler and Renaud Sirdey}, title = {{SPEED:} secure, PrivatE, and efficient deep learning}, journal = {Mach. Learn.}, volume = {110}, number = {4}, pages = {675--694}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05970-3}, doi = {10.1007/S10994-021-05970-3}, timestamp = {Tue, 01 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/SebertPZGS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ShangLQ0MY21, author = {Wenjie Shang and Qingyang Li and Zhiwei (Tony) Qin and Yang Yu and Yiping Meng and Jieping Ye}, title = {Partially observable environment estimation with uplift inference for reinforcement learning based recommendation}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2603--2640}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05969-w}, doi = {10.1007/S10994-021-05969-W}, timestamp = {Wed, 03 Nov 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/ShangLQ0MY21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ShiBRCRXC21, author = {Junjie Shi and Jiang Bian and Jakob Richter and Kuan{-}Hsun Chen and J{\"{o}}rg Rahnenf{\"{u}}hrer and Haoyi Xiong and Jian{-}Jia Chen}, title = {{MODES:} model-based optimization on distributed embedded systems}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1527--1547}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06014-6}, doi = {10.1007/S10994-021-06014-6}, timestamp = {Mon, 11 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ShiBRCRXC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ShiGHCW21, author = {Dai Shi and Junbin Gao and Xia Hong and S. T. Boris Choy and Zhiyong Wang}, title = {Coupling matrix manifolds assisted optimization for optimal transport problems}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {533--558}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05931-2}, doi = {10.1007/S10994-020-05931-2}, timestamp = {Wed, 07 Apr 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/ShiGHCW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ShiGLDH21, author = {Wanli Shi and Bin Gu and Xiang Li and Cheng Deng and Heng Huang}, title = {Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2005--2033}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05980-1}, doi = {10.1007/S10994-021-05980-1}, timestamp = {Wed, 01 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/ShiGLDH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SkirzynskiBL21, author = {Julian Skirzynski and Frederic Becker and Falk Lieder}, title = {Automatic discovery of interpretable planning strategies}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2641--2683}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05963-2}, doi = {10.1007/S10994-021-05963-2}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/SkirzynskiBL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SkrljMLP21, author = {Blaz Skrlj and Matej Martinc and Nada Lavrac and Senja Pollak}, title = {autoBOT: evolving neuro-symbolic representations for explainable low resource text classification}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {989--1028}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05968-x}, doi = {10.1007/S10994-021-05968-X}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/SkrljMLP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SourekZK21, author = {Gustav Sourek and Filip Zelezn{\'{y}} and Ondrej Kuzelka}, title = {Beyond graph neural networks with lifted relational neural networks}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1695--1738}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06017-3}, doi = {10.1007/S10994-021-06017-3}, timestamp = {Sat, 09 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/SourekZK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/StankovaPMP21, author = {Marija Stankova and Stiene Praet and David Martens and Foster J. Provost}, title = {Node classification over bipartite graphs through projection}, journal = {Mach. Learn.}, volume = {110}, number = {1}, pages = {37--87}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05898-0}, doi = {10.1007/S10994-020-05898-0}, timestamp = {Thu, 11 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/StankovaPMP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SteiningerKDKH21, author = {Michael Steininger and Konstantin Kobs and Padraig Davidson and Anna Krause and Andreas Hotho}, title = {Density-based weighting for imbalanced regression}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2187--2211}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06023-5}, doi = {10.1007/S10994-021-06023-5}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/SteiningerKDKH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/SuarezGH21, author = {Juan{-}Luis Su{\'{a}}rez and Salvador Garc{\'{\i}}a and Francisco Herrera}, title = {Ordinal regression with explainable distance metric learning based on ordered sequences}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2729--2762}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06010-w}, doi = {10.1007/S10994-021-06010-W}, timestamp = {Mon, 19 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/SuarezGH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/TabakTZ21, author = {Esteban G. Tabak and Giulio Trigila and Wenjun Zhao}, title = {Data driven conditional optimal transport}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {3135--3155}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06060-0}, doi = {10.1007/S10994-021-06060-0}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/TabakTZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/TomkinsLKM21, author = {Sabina Tomkins and Peng Liao and Predrag V. Klasnja and Susan A. Murphy}, title = {IntelligentPooling: practical Thompson sampling for mHealth}, journal = {Mach. Learn.}, volume = {110}, number = {9}, pages = {2685--2727}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05995-8}, doi = {10.1007/S10994-021-05995-8}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/TomkinsLKM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/Travis-LumerG21, author = {Yael Travis{-}Lumer and Yair Goldberg}, title = {Kernel machines for current status data}, journal = {Mach. Learn.}, volume = {110}, number = {2}, pages = {349--391}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05930-3}, doi = {10.1007/S10994-020-05930-3}, timestamp = {Thu, 11 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/Travis-LumerG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/TruongL21, author = {Quoc{-}Tuan Truong and Hady W. Lauw}, title = {Variational learning from implicit bandit feedback}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2085--2105}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06028-0}, doi = {10.1007/S10994-021-06028-0}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/TruongL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/VargaftikKOB21, author = {Shay Vargaftik and Isaac Keslassy and Ariel Orda and Yaniv Ben{-}Itzhak}, title = {{RADE:} resource-efficient supervised anomaly detection using decision tree-based ensemble methods}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2835--2866}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06047-x}, doi = {10.1007/S10994-021-06047-X}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/VargaftikKOB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/VourosLCV21, author = {Avgoustinos Vouros and Stephen Langdell and Mike Croucher and Eleni Vasilaki}, title = {An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {1975--2003}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06021-7}, doi = {10.1007/S10994-021-06021-7}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/VourosLCV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/WangGSYCS21, author = {Wei Wang and Bing Guo and Yan Shen and Han Yang and Yaosen Chen and Xinhua Suo}, title = {Robust supervised topic models under label noise}, journal = {Mach. Learn.}, volume = {110}, number = {5}, pages = {907--931}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-05967-y}, doi = {10.1007/S10994-021-05967-Y}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/WangGSYCS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/WatsonW21, author = {David S. Watson and Marvin N. Wright}, title = {Testing conditional independence in supervised learning algorithms}, journal = {Mach. Learn.}, volume = {110}, number = {8}, pages = {2107--2129}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06030-6}, doi = {10.1007/S10994-021-06030-6}, timestamp = {Tue, 21 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/WatsonW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/WeiYWDZ21, author = {Shaowei Wei and Guoxian Yu and Jun Wang and Carlotta Domeniconi and Xiangliang Zhang}, title = {Multiple clusterings of heterogeneous information networks}, journal = {Mach. Learn.}, volume = {110}, number = {6}, pages = {1505--1526}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06000-y}, doi = {10.1007/S10994-021-06000-Y}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/WeiYWDZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/WimalawarneM21, author = {Kishan Wimalawarne and Hiroshi Mamitsuka}, title = {Reshaped tensor nuclear norms for higher order tensor completion}, journal = {Mach. Learn.}, volume = {110}, number = {3}, pages = {507--531}, year = {2021}, url = {https://doi.org/10.1007/s10994-020-05927-y}, doi = {10.1007/S10994-020-05927-Y}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/WimalawarneM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/YangWZZSLS21, author = {Cong Yang and Wenfeng Wang and Yunhui Zhang and Zhikai Zhang and Lina Shen and Yipeng Li and John See}, title = {MLife: a lite framework for machine learning lifecycle initialization}, journal = {Mach. Learn.}, volume = {110}, number = {11}, pages = {2993--3013}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06052-0}, doi = {10.1007/S10994-021-06052-0}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/YangWZZSLS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/YoshidaTK21, author = {Tomoki Yoshida and Ichiro Takeuchi and Masayuki Karasuyama}, title = {Distance metric learning for graph structured data}, journal = {Mach. Learn.}, volume = {110}, number = {7}, pages = {1765--1811}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06009-3}, doi = {10.1007/S10994-021-06009-3}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/YoshidaTK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ZhangZL21, author = {Xiaomin Zhang and Xiaojin Zhu and Po{-}Ling Loh}, title = {Provable training set debugging for linear regression}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2763--2834}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06040-4}, doi = {10.1007/S10994-021-06040-4}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/ZhangZL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/ZhaoPACLH21, author = {Xing Zhao and Manos Papagelis and Aijun An and Bao Xin Chen and Junfeng Liu and Yonggang Hu}, title = {ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model}, journal = {Mach. Learn.}, volume = {110}, number = {10}, pages = {2867--2903}, year = {2021}, url = {https://doi.org/10.1007/s10994-021-06064-w}, doi = {10.1007/S10994-021-06064-W}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ml/ZhaoPACLH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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