default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnna Korba
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c18]Nicolas Chopin, Francesca R. Crucinio, Anna Korba:
A connection between Tempering and Entropic Mirror Descent. ICML 2024- [c17]Tom Huix, Anna Korba, Alain Oliviero Durmus, Eric Moulines:
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians. ICML 2024 - [i19]Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet:
Implicit Diffusion: Efficient Optimization through Stochastic Sampling. CoRR abs/2402.05468 (2024) - [i18]Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. CoRR abs/2402.14664 (2024) - [i17]Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. CoRR abs/2406.03434 (2024) - [i16]Tom Huix, Anna Korba, Alain Durmus, Eric Moulines:
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians. CoRR abs/2406.04012 (2024) - [i15]Clément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba:
Mirror and Preconditioned Gradient Descent in Wasserstein Space. CoRR abs/2406.08938 (2024) - [i14]Omar Chehab, Anna Korba:
A Practical Diffusion Path for Sampling. CoRR abs/2406.14040 (2024) - [i13]Clémentine Chazal, Anna Korba, Francis Bach:
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence. CoRR abs/2408.16543 (2024) - [i12]Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur:
(De)-regularized Maximum Mean Discrepancy Gradient Flow. CoRR abs/2409.14980 (2024) - [i11]Omar Chehab, Anna Korba, Austin Stromme, Adrien Vacher:
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics. CoRR abs/2410.09697 (2024) - 2023
- [c16]Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. ICLR 2023 - [c15]Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Exponential Smoothing for Off-Policy Learning. ICML 2023: 984-1017 - [i10]Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Exponential Smoothing for Off-Policy Learning. CoRR abs/2305.15877 (2023) - 2022
- [c14]Anna Korba, François Portier:
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff. AISTATS 2022: 11503-11527 - [c13]Lantian Xu, Anna Korba, Dejan Slepcev:
Accurate Quantization of Measures via Interacting Particle-based Optimization. ICML 2022: 24576-24595 - [c12]Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger:
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM. NeurIPS 2022 - [i9]Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger:
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM. CoRR abs/2206.08873 (2022) - [i8]Tom Huix, Szymon Majewski, Alain Durmus, Eric Moulines, Anna Korba:
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study. CoRR abs/2207.03859 (2022) - [i7]Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. CoRR abs/2210.13400 (2022) - 2021
- [c11]Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin:
Kernel Stein Discrepancy Descent. ICML 2021: 5719-5730 - [c10]Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet:
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. ICML 2021: 7512-7523 - [i6]Afsaneh Mastouri
, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet:
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. CoRR abs/2105.04544 (2021) - [i5]Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin:
Kernel Stein Discrepancy Descent. CoRR abs/2105.09994 (2021) - 2020
- [c9]Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton:
A Non-Asymptotic Analysis for Stein Variational Gradient Descent. NeurIPS 2020 - [c8]Adil Salim, Anna Korba, Giulia Luise:
The Wasserstein Proximal Gradient Algorithm. NeurIPS 2020 - [i4]Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton:
A Non-Asymptotic Analysis for Stein Variational Gradient Descent. CoRR abs/2006.09797 (2020)
2010 – 2019
- 2019
- [c7]Mastane Achab, Anna Korba, Stéphan Clémençon:
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. ALT 2019: 64-93 - [c6]Michael Arbel, Anna Korba, Adil Salim, Arthur Gretton:
Maximum Mean Discrepancy Gradient Flow. NeurIPS 2019: 6481-6491 - [i3]Michael Arbel, Anna Korba, Adil Salim, Arthur Gretton:
Maximum Mean Discrepancy Gradient Flow. CoRR abs/1906.04370 (2019) - 2018
- [c5]Stéphan Clémençon, Anna Korba, Eric Sibony:
Ranking Median Regression: Learning to Order through Local Consensus. ALT 2018: 212-245 - [c4]Stéphan Clémençon, Anna Korba:
On aggregation in ranking median regression. ESANN 2018 - [c3]Anna Korba, Alexandre Garcia, Florence d'Alché-Buc:
A Structured Prediction Approach for Label Ranking. NeurIPS 2018: 9008-9018 - [i2]Anna Korba, Alexandre Garcia, Florence d'Alché-Buc:
A Structured Prediction Approach for Label Ranking. CoRR abs/1807.02374 (2018) - [i1]Mastane Achab, Anna Korba, Stéphan Clémençon:
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. CoRR abs/1810.06291 (2018) - 2017
- [c2]Anna Korba, Stéphan Clémençon, Eric Sibony:
A Learning Theory of Ranking Aggregation. AISTATS 2017: 1001-1010 - 2016
- [c1]Yunlong Jiao, Anna Korba, Eric Sibony:
Controlling the distance to a Kemeny consensus without computing it. ICML 2016: 2971-2980
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
