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ORCIDBibTeX records: Rodolphe Jenatton
@inproceedings{DBLP:conf/iclr/CollierJMHBK23,
author = {Mark Collier and
Rodolphe Jenatton and
Basil Mustafa and
Neil Houlsby and
Jesse Berent and
Effrosyni Kokiopoulou},
title = {Massively Scaling Heteroscedastic Classifiers},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2023}
}
@inproceedings{DBLP:conf/icml/0001DMPHGSCGAJB23,
author = {Mostafa Dehghani and
Josip Djolonga and
Basil Mustafa and
Piotr Padlewski and
Jonathan Heek and
Justin Gilmer and
Andreas Peter Steiner and
Mathilde Caron and
Robert Geirhos and
Ibrahim Alabdulmohsin and
Rodolphe Jenatton and
Lucas Beyer and
Michael Tschannen and
Anurag Arnab and
Xiao Wang and
Carlos Riquelme Ruiz and
Matthias Minderer and
Joan Puigcerver and
Utku Evci and
Manoj Kumar and
Sjoerd van Steenkiste and
Gamaleldin Fathy Elsayed and
Aravindh Mahendran and
Fisher Yu and
Avital Oliver and
Fantine Huot and
Jasmijn Bastings and
Mark Collier and
Alexey A. Gritsenko and
Vighnesh Birodkar and
Cristina Nader Vasconcelos and
Yi Tay and
Thomas Mensink and
Alexander Kolesnikov and
Filip Pavetic and
Dustin Tran and
Thomas Kipf and
Mario Lucic and
Xiaohua Zhai and
Daniel Keysers and
Jeremiah J. Harmsen and
Neil Houlsby},
title = {Scaling Vision Transformers to 22 Billion Parameters},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {7480--7512},
publisher = {{PMLR}},
year = {2023}
}
@inproceedings{DBLP:conf/icml/Ortiz-JimenezCN23,
author = {Guillermo Ortiz{-}Jim{\'{e}}nez and
Mark Collier and
Anant Nawalgaria and
Alexander Nicholas D'Amour and
Jesse Berent and
Rodolphe Jenatton and
Efi Kokiopoulou},
title = {When does Privileged information Explain Away Label Noise?},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {26646--26669},
publisher = {{PMLR}},
year = {2023}
}
@inproceedings{DBLP:conf/nips/KossenCMWZBSBJK23,
author = {Jannik Kossen and
Mark Collier and
Basil Mustafa and
Xiao Wang and
Xiaohua Zhai and
Lucas Beyer and
Andreas Steiner and
Jesse Berent and
Rodolphe Jenatton and
Effrosyni Kokiopoulou},
title = {Three Towers: Flexible Contrastive Learning with Pretrained Image
Models},
booktitle = {NeurIPS},
year = {2023}
}
@article{DBLP:journals/corr/abs-2301-12860,
author = {Mark Collier and
Rodolphe Jenatton and
Basil Mustafa and
Neil Houlsby and
Jesse Berent and
Effrosyni Kokiopoulou},
title = {Massively Scaling Heteroscedastic Classifiers},
journal = {CoRR},
volume = {abs/2301.12860},
year = {2023}
}
@article{DBLP:journals/corr/abs-2302-05442,
author = {Mostafa Dehghani and
Josip Djolonga and
Basil Mustafa and
Piotr Padlewski and
Jonathan Heek and
Justin Gilmer and
Andreas Steiner and
Mathilde Caron and
Robert Geirhos and
Ibrahim Alabdulmohsin and
Rodolphe Jenatton and
Lucas Beyer and
Michael Tschannen and
Anurag Arnab and
Xiao Wang and
Carlos Riquelme and
Matthias Minderer and
Joan Puigcerver and
Utku Evci and
Manoj Kumar and
Sjoerd van Steenkiste and
Gamaleldin F. Elsayed and
Aravindh Mahendran and
Fisher Yu and
Avital Oliver and
Fantine Huot and
Jasmijn Bastings and
Mark Patrick Collier and
Alexey A. Gritsenko and
Vighnesh Birodkar and
Cristina N. Vasconcelos and
Yi Tay and
Thomas Mensink and
Alexander Kolesnikov and
Filip Pavetic and
Dustin Tran and
Thomas Kipf and
Mario Lucic and
Xiaohua Zhai and
Daniel Keysers and
Jeremiah Harmsen and
Neil Houlsby},
title = {Scaling Vision Transformers to 22 Billion Parameters},
journal = {CoRR},
volume = {abs/2302.05442},
year = {2023}
}
@article{DBLP:journals/corr/abs-2303-01806,
author = {Guillermo Ortiz{-}Jim{\'{e}}nez and
Mark Collier and
Anant Nawalgaria and
Alexander D'Amour and
Jesse Berent and
Rodolphe Jenatton and
Effrosyni Kokiopoulou},
title = {When does Privileged Information Explain Away Label Noise?},
journal = {CoRR},
volume = {abs/2303.01806},
year = {2023}
}
@article{DBLP:journals/corr/abs-2305-16999,
author = {Jannik Kossen and
Mark Collier and
Basil Mustafa and
Xiao Wang and
Xiaohua Zhai and
Lucas Beyer and
Andreas Steiner and
Jesse Berent and
Rodolphe Jenatton and
Efi Kokiopoulou},
title = {Three Towers: Flexible Contrastive Learning with Pretrained Image
Models},
journal = {CoRR},
volume = {abs/2305.16999},
year = {2023}
}
@article{DBLP:journals/corr/abs-2310-06600,
author = {Ke Wang and
Guillermo Ortiz{-}Jim{\'{e}}nez and
Rodolphe Jenatton and
Mark Collier and
Efi Kokiopoulou and
Pascal Frossard},
title = {Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy
Labels},
journal = {CoRR},
volume = {abs/2310.06600},
year = {2023}
}
@article{DBLP:journals/jmlr/CarratinoCJV22,
author = {Luigi Carratino and
Moustapha Ciss{\'{e}} and
Rodolphe Jenatton and
Jean{-}Philippe Vert},
title = {On Mixup Regularization},
journal = {J. Mach. Learn. Res.},
volume = {23},
pages = {325:1--325:31},
year = {2022}
}
@article{DBLP:journals/tmlr/AllinghamWMMPHJFLSTRJ22,
author = {James Urquhart Allingham and
Florian Wenzel and
Zelda E. Mariet and
Basil Mustafa and
Joan Puigcerver and
Neil Houlsby and
Ghassen Jerfel and
Vincent Fortuin and
Balaji Lakshminarayanan and
Jasper Snoek and
Dustin Tran and
Carlos Riquelme Ruiz and
Rodolphe Jenatton},
title = {Sparse MoEs meet Efficient Ensembles},
journal = {Trans. Mach. Learn. Res.},
volume = {2022},
year = {2022}
}
@article{DBLP:journals/tmlr/FortuinCWALTLBJK22,
author = {Vincent Fortuin and
Mark Collier and
Florian Wenzel and
James Urquhart Allingham and
Jeremiah Zhe Liu and
Dustin Tran and
Balaji Lakshminarayanan and
Jesse Berent and
Rodolphe Jenatton and
Effrosyni Kokiopoulou},
title = {Deep Classifiers with Label Noise Modeling and Distance Awareness},
journal = {Trans. Mach. Learn. Res.},
volume = {2022},
year = {2022}
}
@inproceedings{DBLP:conf/aistats/AriafarGNSJD22,
author = {Setareh Ariafar and
Justin Gilmer and
Zachary Nado and
Jasper Snoek and
Rodolphe Jenatton and
George E. Dahl},
title = {Predicting the utility of search spaces for black-box optimization:
a simple, budget-aware approach},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {151},
pages = {11056--11071},
publisher = {{PMLR}},
year = {2022}
}
@inproceedings{DBLP:conf/icml/CollierJKB22,
author = {Mark Collier and
Rodolphe Jenatton and
Effrosyni Kokiopoulou and
Jesse Berent},
title = {Transfer and Marginalize: Explaining Away Label Noise with Privileged
Information},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {4219--4237},
publisher = {{PMLR}},
year = {2022}
}
@inproceedings{DBLP:conf/nips/MustafaRPJH22,
author = {Basil Mustafa and
Carlos Riquelme and
Joan Puigcerver and
Rodolphe Jenatton and
Neil Houlsby},
title = {Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
of Experts},
booktitle = {NeurIPS},
year = {2022}
}
@inproceedings{DBLP:conf/nips/PuigcerverJRAB22,
author = {Joan Puigcerver and
Rodolphe Jenatton and
Carlos Riquelme and
Pranjal Awasthi and
Srinadh Bhojanapalli},
title = {On the Adversarial Robustness of Mixture of Experts},
booktitle = {NeurIPS},
year = {2022}
}
@article{DBLP:journals/corr/abs-2202-09244,
author = {Mark Collier and
Rodolphe Jenatton and
Efi Kokiopoulou and
Jesse Berent},
title = {Transfer and Marginalize: Explaining Away Label Noise with Privileged
Information},
journal = {CoRR},
volume = {abs/2202.09244},
year = {2022}
}
@article{DBLP:journals/corr/abs-2206-02770,
author = {Basil Mustafa and
Carlos Riquelme and
Joan Puigcerver and
Rodolphe Jenatton and
Neil Houlsby},
title = {Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
of Experts},
journal = {CoRR},
volume = {abs/2206.02770},
year = {2022}
}
@article{DBLP:journals/corr/abs-2207-07411,
author = {Dustin Tran and
Jeremiah Z. Liu and
Michael W. Dusenberry and
Du Phan and
Mark Collier and
Jie Ren and
Kehang Han and
Zi Wang and
Zelda Mariet and
Huiyi Hu and
Neil Band and
Tim G. J. Rudner and
Karan Singhal and
Zachary Nado and
Joost van Amersfoort and
Andreas Kirsch and
Rodolphe Jenatton and
Nithum Thain and
Honglin Yuan and
Kelly Buchanan and
Kevin Murphy and
D. Sculley and
Yarin Gal and
Zoubin Ghahramani and
Jasper Snoek and
Balaji Lakshminarayanan},
title = {Plex: Towards Reliability using Pretrained Large Model Extensions},
journal = {CoRR},
volume = {abs/2207.07411},
year = {2022}
}
@article{DBLP:journals/corr/abs-2210-10253,
author = {Joan Puigcerver and
Rodolphe Jenatton and
Carlos Riquelme and
Pranjal Awasthi and
Srinadh Bhojanapalli},
title = {On the Adversarial Robustness of Mixture of Experts},
journal = {CoRR},
volume = {abs/2210.10253},
year = {2022}
}
@inproceedings{DBLP:conf/cvpr/CollierMKJB21,
author = {Mark Collier and
Basil Mustafa and
Efi Kokiopoulou and
Rodolphe Jenatton and
Jesse Berent},
title = {Correlated Input-Dependent Label Noise in Large-Scale Image Classification},
booktitle = {{CVPR}},
pages = {1551--1560},
publisher = {Computer Vision Foundation / {IEEE}},
year = {2021}
}
@inproceedings{DBLP:conf/iclr/HavasiJFLSLDT21,
author = {Marton Havasi and
Rodolphe Jenatton and
Stanislav Fort and
Jeremiah Zhe Liu and
Jasper Snoek and
Balaji Lakshminarayanan and
Andrew Mingbo Dai and
Dustin Tran},
title = {Training independent subnetworks for robust prediction},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2021}
}
@inproceedings{DBLP:conf/kdd/PerroneSZSABDWJ21,
author = {Valerio Perrone and
Huibin Shen and
Aida Zolic and
Iaroslav Shcherbatyi and
Amr Ahmed and
Tanya Bansal and
Michele Donini and
Fela Winkelmolen and
Rodolphe Jenatton and
Jean Baptiste Faddoul and
Barbara Pogorzelska and
Miroslav Miladinovic and
Krishnaram Kenthapadi and
Matthias W. Seeger and
C{\'{e}}dric Archambeau},
title = {Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization},
booktitle = {{KDD}},
pages = {3463--3471},
publisher = {{ACM}},
year = {2021}
}
@inproceedings{DBLP:conf/nips/RiquelmePMNJPKH21,
author = {Carlos Riquelme and
Joan Puigcerver and
Basil Mustafa and
Maxim Neumann and
Rodolphe Jenatton and
Andr{\'{e}} Susano Pinto and
Daniel Keysers and
Neil Houlsby},
title = {Scaling Vision with Sparse Mixture of Experts},
booktitle = {NeurIPS},
pages = {8583--8595},
year = {2021}
}
@article{DBLP:journals/corr/abs-2105-10305,
author = {Mark Collier and
Basil Mustafa and
Efi Kokiopoulou and
Rodolphe Jenatton and
Jesse Berent},
title = {Correlated Input-Dependent Label Noise in Large-Scale Image Classification},
journal = {CoRR},
volume = {abs/2105.10305},
year = {2021}
}
@article{DBLP:journals/corr/abs-2106-04015,
author = {Zachary Nado and
Neil Band and
Mark Collier and
Josip Djolonga and
Michael W. Dusenberry and
Sebastian Farquhar and
Angelos Filos and
Marton Havasi and
Rodolphe Jenatton and
Ghassen Jerfel and
Jeremiah Z. Liu and
Zelda Mariet and
Jeremy Nixon and
Shreyas Padhy and
Jie Ren and
Tim G. J. Rudner and
Yeming Wen and
Florian Wenzel and
Kevin Murphy and
D. Sculley and
Balaji Lakshminarayanan and
Jasper Snoek and
Yarin Gal and
Dustin Tran},
title = {Uncertainty Baselines: Benchmarks for Uncertainty {\&} Robustness
in Deep Learning},
journal = {CoRR},
volume = {abs/2106.04015},
year = {2021}
}
@article{DBLP:journals/corr/abs-2106-05974,
author = {Carlos Riquelme and
Joan Puigcerver and
Basil Mustafa and
Maxim Neumann and
Rodolphe Jenatton and
Andr{\'{e}} Susano Pinto and
Daniel Keysers and
Neil Houlsby},
title = {Scaling Vision with Sparse Mixture of Experts},
journal = {CoRR},
volume = {abs/2106.05974},
year = {2021}
}
@article{DBLP:journals/corr/abs-2110-02609,
author = {Vincent Fortuin and
Mark Collier and
Florian Wenzel and
James Urquhart Allingham and
Jeremiah Z. Liu and
Dustin Tran and
Balaji Lakshminarayanan and
Jesse Berent and
Rodolphe Jenatton and
Effrosyni Kokiopoulou},
title = {Deep Classifiers with Label Noise Modeling and Distance Awareness},
journal = {CoRR},
volume = {abs/2110.02609},
year = {2021}
}
@article{DBLP:journals/corr/abs-2110-03360,
author = {James Urquhart Allingham and
Florian Wenzel and
Zelda E. Mariet and
Basil Mustafa and
Joan Puigcerver and
Neil Houlsby and
Ghassen Jerfel and
Vincent Fortuin and
Balaji Lakshminarayanan and
Jasper Snoek and
Dustin Tran and
Carlos Riquelme Ruiz and
Rodolphe Jenatton},
title = {Sparse MoEs meet Efficient Ensembles},
journal = {CoRR},
volume = {abs/2110.03360},
year = {2021}
}
@article{DBLP:journals/corr/abs-2112-08250,
author = {Setareh Ariafar and
Justin Gilmer and
Zachary Nado and
Jasper Snoek and
Rodolphe Jenatton and
George E. Dahl},
title = {Predicting the utility of search spaces for black-box optimization:
a simple, budget-aware approach},
journal = {CoRR},
volume = {abs/2112.08250},
year = {2021}
}
@inproceedings{DBLP:conf/icml/SwiatkowskiRVTD20,
author = {Jakub Swiatkowski and
Kevin Roth and
Bastiaan S. Veeling and
Linh Tran and
Joshua V. Dillon and
Jasper Snoek and
Stephan Mandt and
Tim Salimans and
Rodolphe Jenatton and
Sebastian Nowozin},
title = {The k-tied Normal Distribution: {A} Compact Parameterization of Gaussian
Mean Field Posteriors in Bayesian Neural Networks},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {9289--9299},
publisher = {{PMLR}},
year = {2020}
}
@inproceedings{DBLP:conf/icml/WenzelRVSTMSSJN20,
author = {Florian Wenzel and
Kevin Roth and
Bastiaan S. Veeling and
Jakub Swiatkowski and
Linh Tran and
Stephan Mandt and
Jasper Snoek and
Tim Salimans and
Rodolphe Jenatton and
Sebastian Nowozin},
title = {How Good is the Bayes Posterior in Deep Neural Networks Really?},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {10248--10259},
publisher = {{PMLR}},
year = {2020}
}
@inproceedings{DBLP:conf/nips/WenzelSTJ20,
author = {Florian Wenzel and
Jasper Snoek and
Dustin Tran and
Rodolphe Jenatton},
title = {Hyperparameter Ensembles for Robustness and Uncertainty Quantification},
booktitle = {NeurIPS},
year = {2020}
}
@article{DBLP:journals/corr/abs-2001-04694,
author = {Linh Tran and
Bastiaan S. Veeling and
Kevin Roth and
Jakub Swiatkowski and
Joshua V. Dillon and
Jasper Snoek and
Stephan Mandt and
Tim Salimans and
Sebastian Nowozin and
Rodolphe Jenatton},
title = {Hydra: Preserving Ensemble Diversity for Model Distillation},
journal = {CoRR},
volume = {abs/2001.04694},
year = {2020}
}
@article{DBLP:journals/corr/abs-2002-02405,
author = {Florian Wenzel and
Kevin Roth and
Bastiaan S. Veeling and
Jakub Swiatkowski and
Linh Tran and
Stephan Mandt and
Jasper Snoek and
Tim Salimans and
Rodolphe Jenatton and
Sebastian Nowozin},
title = {How Good is the Bayes Posterior in Deep Neural Networks Really?},
journal = {CoRR},
volume = {abs/2002.02405},
year = {2020}
}
@article{DBLP:journals/corr/abs-2002-02655,
author = {Jakub Swiatkowski and
Kevin Roth and
Bastiaan S. Veeling and
Linh Tran and
Joshua V. Dillon and
Stephan Mandt and
Jasper Snoek and
Tim Salimans and
Rodolphe Jenatton and
Sebastian Nowozin},
title = {The k-tied Normal Distribution: {A} Compact Parameterization of Gaussian
Mean Field Posteriors in Bayesian Neural Networks},
journal = {CoRR},
volume = {abs/2002.02655},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-06049,
author = {Luigi Carratino and
Moustapha Ciss{\'{e}} and
Rodolphe Jenatton and
Jean{-}Philippe Vert},
title = {On Mixup Regularization},
journal = {CoRR},
volume = {abs/2006.06049},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-13570,
author = {Florian Wenzel and
Jasper Snoek and
Dustin Tran and
Rodolphe Jenatton},
title = {Hyperparameter Ensembles for Robustness and Uncertainty Quantification},
journal = {CoRR},
volume = {abs/2006.13570},
year = {2020}
}
@article{DBLP:journals/corr/abs-2010-06610,
author = {Marton Havasi and
Rodolphe Jenatton and
Stanislav Fort and
Jeremiah Zhe Liu and
Jasper Snoek and
Balaji Lakshminarayanan and
Andrew M. Dai and
Dustin Tran},
title = {Training independent subnetworks for robust prediction},
journal = {CoRR},
volume = {abs/2010.06610},
year = {2020}
}
@article{DBLP:journals/corr/abs-2012-08483,
author = {Piali Das and
Valerio Perrone and
Nikita Ivkin and
Tanya Bansal and
Zohar S. Karnin and
Huibin Shen and
Iaroslav Shcherbatyi and
Yotam Elor and
Wilton Wu and
Aida Zolic and
Thibaut Li{\'{e}}nart and
Alex Tang and
Amr Ahmed and
Jean Baptiste Faddoul and
Rodolphe Jenatton and
Fela Winkelmolen and
Philip Gautier and
Leo Dirac and
Andre Perunicic and
Miroslav Miladinovic and
Giovanni Zappella and
C{\'{e}}dric Archambeau and
Matthias W. Seeger and
Bhaskar Dutt and
Laurence Rouesnel},
title = {Amazon SageMaker Autopilot: a white box AutoML solution at scale},
journal = {CoRR},
volume = {abs/2012.08483},
year = {2020}
}
@article{DBLP:journals/corr/abs-2012-08489,
author = {Valerio Perrone and
Huibin Shen and
Aida Zolic and
Iaroslav Shcherbatyi and
Amr Ahmed and
Tanya Bansal and
Michele Donini and
Fela Winkelmolen and
Rodolphe Jenatton and
Jean Baptiste Faddoul and
Barbara Pogorzelska and
Miroslav Miladinovic and
Krishnaram Kenthapadi and
Matthias W. Seeger and
C{\'{e}}dric Archambeau},
title = {Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization},
journal = {CoRR},
volume = {abs/2012.08489},
year = {2020}
}
@article{DBLP:journals/corr/abs-1909-12552,
author = {Valerio Perrone and
Huibin Shen and
Matthias W. Seeger and
C{\'{e}}dric Archambeau and
Rodolphe Jenatton},
title = {Learning search spaces for Bayesian optimization: Another view of
hyperparameter transfer learning},
journal = {CoRR},
volume = {abs/1909.12552},
year = {2019}
}
@article{DBLP:journals/corr/abs-1910-07003,
author = {Valerio Perrone and
Iaroslav Shcherbatyi and
Rodolphe Jenatton and
C{\'{e}}dric Archambeau and
Matthias W. Seeger},
title = {Constrained Bayesian Optimization with Max-Value Entropy Search},
journal = {CoRR},
volume = {abs/1910.07003},
year = {2019}
}
@inproceedings{DBLP:conf/nips/PerroneJSA18,
author = {Valerio Perrone and
Rodolphe Jenatton and
Matthias W. Seeger and
C{\'{e}}dric Archambeau},
title = {Scalable Hyperparameter Transfer Learning},
booktitle = {NeurIPS},
pages = {6846--6856},
year = {2018}
}
@inproceedings{DBLP:conf/icml/JenattonAGS17,
author = {Rodolphe Jenatton and
C{\'{e}}dric Archambeau and
Javier Gonz{\'{a}}lez and
Matthias W. Seeger},
title = {Bayesian Optimization with Tree-structured Dependencies},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {1655--1664},
publisher = {{PMLR}},
year = {2017}
}
@inproceedings{DBLP:conf/icml/JenattonHA16,
author = {Rodolphe Jenatton and
Jim C. Huang and
C{\'{e}}dric Archambeau},
title = {Adaptive Algorithms for Online Convex Optimization with Long-term
Constraints},
booktitle = {{ICML}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {48},
pages = {402--411},
publisher = {JMLR.org},
year = {2016}
}
@inproceedings{DBLP:conf/kdd/HuangJA16,
author = {Jim C. Huang and
Rodolphe Jenatton and
C{\'{e}}dric Archambeau},
title = {Online Dual Decomposition for Performance and Delivery-Based Distributed
Ad Allocation},
booktitle = {{KDD}},
pages = {117--126},
publisher = {{ACM}},
year = {2016}
}
@article{DBLP:journals/corr/JenattonHA16,
author = {Rodolphe Jenatton and
Jim C. Huang and
C{\'{e}}dric Archambeau},
title = {Online optimization and regret guarantees for non-additive long-term
constraints},
journal = {CoRR},
volume = {abs/1602.05394},
year = {2016}
}
@article{DBLP:journals/siammax/FogelJBd15,
author = {Fajwel Fogel and
Rodolphe Jenatton and
Francis R. Bach and
Alexandre d'Aspremont},
title = {Convex Relaxations for Permutation Problems},
journal = {{SIAM} J. Matrix Anal. Appl.},
volume = {36},
number = {4},
pages = {1465--1488},
year = {2015}
}
@article{DBLP:journals/tit/GribonvalJBKS15,
author = {R{\'{e}}mi Gribonval and
Rodolphe Jenatton and
Francis R. Bach and
Martin Kleinsteuber and
Matthias Seibert},
title = {Sample Complexity of Dictionary Learning and Other Matrix Factorizations},
journal = {{IEEE} Trans. Inf. Theory},
volume = {61},
number = {6},
pages = {3469--3486},
year = {2015}
}
@article{DBLP:journals/tit/GribonvalJB15,
author = {R{\'{e}}mi Gribonval and
Rodolphe Jenatton and
Francis R. Bach},
title = {Sparse and Spurious: Dictionary Learning With Noise and Outliers},
journal = {{IEEE} Trans. Inf. Theory},
volume = {61},
number = {11},
pages = {6298--6319},
year = {2015}
}
@inproceedings{DBLP:conf/kdd/FrenoSJA15,
author = {Antonino Freno and
Martin Saveski and
Rodolphe Jenatton and
C{\'{e}}dric Archambeau},
title = {One-Pass Ranking Models for Low-Latency Product Recommendations},
booktitle = {{KDD}},
pages = {1789--1798},
publisher = {{ACM}},
year = {2015}
}
@article{DBLP:journals/corr/JenattonHA15,
author = {Rodolphe Jenatton and
Jim C. Huang and
C{\'{e}}dric Archambeau},
title = {Adaptive Algorithms for Online Convex Optimization with Long-term
Constraints},
journal = {CoRR},
volume = {abs/1512.07422},
year = {2015}
}
@inproceedings{DBLP:conf/ssp/SeibertKGJB14,
author = {Matthias Seibert and
Martin Kleinsteuber and
R{\'{e}}mi Gribonval and
Rodolphe Jenatton and
Francis R. Bach},
title = {On the sample complexity of sparse dictionary learning},
booktitle = {{SSP}},
pages = {244--247},
publisher = {{IEEE}},
year = {2014}
}
@article{DBLP:journals/corr/GribonvalJB14,
author = {R{\'{e}}mi Gribonval and
Rodolphe Jenatton and
Francis R. Bach},
title = {Sparse and spurious: dictionary learning with noise and outliers},
journal = {CoRR},
volume = {abs/1407.5155},
year = {2014}
}
@inproceedings{DBLP:conf/nips/FogelJBd13,
author = {Fajwel Fogel and
Rodolphe Jenatton and
Francis R. Bach and
Alexandre d'Aspremont},
title = {Convex Relaxations for Permutation Problems},
booktitle = {{NIPS}},
pages = {1016--1024},
year = {2013}
}
@article{DBLP:journals/corr/GribonvalJBKS13,
author = {R{\'{e}}mi Gribonval and
Rodolphe Jenatton and
Francis R. Bach and
Martin Kleinsteuber and
Matthias Seibert},
title = {Sample Complexity of Dictionary Learning and other Matrix Factorizations},
journal = {CoRR},
volume = {abs/1312.3790},
year = {2013}
}
@article{DBLP:journals/ftml/BachJMO12,
author = {Francis R. Bach and
Rodolphe Jenatton and
Julien Mairal and
Guillaume Obozinski},
title = {Optimization with Sparsity-Inducing Penalties},
journal = {Found. Trends Mach. Learn.},
volume = {4},
number = {1},
pages = {1--106},
year = {2012}
}
@article{DBLP:journals/siamis/JenattonGMOEBT12,
author = {Rodolphe Jenatton and
Alexandre Gramfort and
Vincent Michel and
Guillaume Obozinski and
Evelyn Eger and
Francis R. Bach and
Bertrand Thirion},
title = {Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity},
journal = {{SIAM} J. Imaging Sci.},
volume = {5},
number = {3},
pages = {835--856},
year = {2012}
}
@inproceedings{DBLP:conf/nips/JenattonRBO12,
author = {Rodolphe Jenatton and
Nicolas Le Roux and
Antoine Bordes and
Guillaume Obozinski},
title = {A latent factor model for highly multi-relational data},
booktitle = {{NIPS}},
pages = {3176--3184},
year = {2012}
}
@article{DBLP:journals/corr/abs-1210-0685,
author = {Rodolphe Jenatton and
R{\'{e}}mi Gribonval and
Francis R. Bach},
title = {Local stability and robustness of sparse dictionary learning in the
presence of noise},
journal = {CoRR},
volume = {abs/1210.0685},
year = {2012}
}
@phdthesis{DBLP:phd/hal/Jenatton11,
author = {Rodolphe Jenatton},
title = {Structured Sparsity-Inducing Norms : Statistical and Algorithmic Properties
with Applications to Neuroimaging. (Normes Parcimonieuses Structur{\'{e}}es
: Propri{\'{e}}t{\'{e}}s Statistiques et Algorithmiques
avec Applications {\`{a}} l'Imagerie C{\'{e}}r{\'{e}}brale)},
school = {{\'{E}}cole normale sup{\'{e}}rieure de Cachan, France},
year = {2011}
}
@article{DBLP:journals/jmlr/JenattonMOB11,
author = {Rodolphe Jenatton and
Julien Mairal and
Guillaume Obozinski and
Francis R. Bach},
title = {Proximal Methods for Hierarchical Sparse Coding},
journal = {J. Mach. Learn. Res.},
volume = {12},
pages = {2297--2334},
year = {2011}
}
@article{DBLP:journals/jmlr/MairalJOB11,
author = {Julien Mairal and
Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Convex and Network Flow Optimization for Structured Sparsity},
journal = {J. Mach. Learn. Res.},
volume = {12},
pages = {2681--2720},
year = {2011}
}
@article{DBLP:journals/jmlr/JenattonAB11,
author = {Rodolphe Jenatton and
Jean{-}Yves Audibert and
Francis R. Bach},
title = {Structured Variable Selection with Sparsity-Inducing Norms},
journal = {J. Mach. Learn. Res.},
volume = {12},
pages = {2777--2824},
year = {2011}
}
@inproceedings{DBLP:conf/prni/JenattonGMOBT11,
author = {Rodolphe Jenatton and
Alexandre Gramfort and
Vincent Michel and
Guillaume Obozinski and
Francis R. Bach and
Bertrand Thirion},
title = {Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity},
booktitle = {{PRNI}},
pages = {69--72},
publisher = {{IEEE} Computer Society},
year = {2011}
}
@article{DBLP:journals/corr/abs-1104-1872,
author = {Julien Mairal and
Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Convex and Network Flow Optimization for Structured Sparsity},
journal = {CoRR},
volume = {abs/1104.1872},
year = {2011}
}
@article{DBLP:journals/corr/abs-1108-0775,
author = {Francis R. Bach and
Rodolphe Jenatton and
Julien Mairal and
Guillaume Obozinski},
title = {Optimization with Sparsity-Inducing Penalties},
journal = {CoRR},
volume = {abs/1108.0775},
year = {2011}
}
@article{DBLP:journals/corr/abs-1109-2397,
author = {Francis R. Bach and
Rodolphe Jenatton and
Julien Mairal and
Guillaume Obozinski},
title = {Structured sparsity through convex optimization},
journal = {CoRR},
volume = {abs/1109.2397},
year = {2011}
}
@article{DBLP:journals/corr/abs-1110-4481,
author = {Julien Mairal and
Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Learning Hierarchical and Topographic Dictionaries with Structured
Sparsity},
journal = {CoRR},
volume = {abs/1110.4481},
year = {2011}
}
@inproceedings{DBLP:conf/icml/JenattonMOB10,
author = {Rodolphe Jenatton and
Julien Mairal and
Guillaume Obozinski and
Francis R. Bach},
title = {Proximal Methods for Sparse Hierarchical Dictionary Learning},
booktitle = {{ICML}},
pages = {487--494},
publisher = {Omnipress},
year = {2010}
}
@inproceedings{DBLP:conf/nips/MairalJOB10,
author = {Julien Mairal and
Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Network Flow Algorithms for Structured Sparsity},
booktitle = {{NIPS}},
pages = {1558--1566},
publisher = {Curran Associates, Inc.},
year = {2010}
}
@inproceedings{DBLP:journals/jmlr/JenattonOB10,
author = {Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Structured Sparse Principal Component Analysis},
booktitle = {{AISTATS}},
series = {{JMLR} Proceedings},
volume = {9},
pages = {366--373},
publisher = {JMLR.org},
year = {2010}
}
@article{DBLP:journals/corr/abs-1008-5209,
author = {Julien Mairal and
Rodolphe Jenatton and
Guillaume Obozinski and
Francis R. Bach},
title = {Network Flow Algorithms for Structured Sparsity},
journal = {CoRR},
volume = {abs/1008.5209},
year = {2010}
}
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