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2006.05973
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Optimal Bounds between
f
f
f
-Divergences and Integral Probability Metrics
International Conference on Machine Learning (ICML), 2020
10 June 2020
R. Agrawal
Thibaut Horel
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Papers citing
"Optimal Bounds between $f$-Divergences and Integral Probability Metrics"
17 / 17 papers shown
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
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Nicolaj Rux
635
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07 Feb 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
202
2
0
03 Nov 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
Neural Information Processing Systems (NeurIPS), 2023
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
433
44
0
17 Oct 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy
Neural Information Processing Systems (NeurIPS), 2023
Zhilin Zhao
Longbing Cao
441
2
0
02 Oct 2023
Light Unbalanced Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
533
5
0
14 Mar 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
International Conference on Learning Representations (ICLR), 2022
Ziqiao Wang
Yongyi Mao
506
16
0
03 Oct 2022
Information Processing Equalities and the Information-Risk Bridge
Journal of machine learning research (JMLR), 2022
Robert C. Williamson
Zac Cranko
317
6
0
25 Jul 2022
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
Annals of Statistics (Ann. Stat.), 2022
Sirio Legramanti
Daniele Durante
Pierre Alquier
412
10
0
14 Jun 2022
Outcome Assumptions and Duality Theory for Balancing Weights
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
David Bruns-Smith
Avi Feller
347
6
0
17 Mar 2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
Masahiro Kato
Masaaki Imaizumi
Kentaro Minami
253
0
0
31 Jan 2022
Optimal transport with
f
f
f
-divergence regularization and generalized Sinkhorn algorithm
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Dávid Terjék
Diego González-Sánchez
OT
244
11
0
29 May 2021
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Tudor Manole
Aaditya Ramdas
325
24
0
16 Mar 2021
Moreau-Yosida
f
f
f
-divergences
International Conference on Machine Learning (ICML), 2021
Dávid Terjék
305
6
0
26 Feb 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Neural Information Processing Systems (NeurIPS), 2021
Yufeng Zhang
Wanwei Liu
Zhenbang Chen
Ji Wang
KenLi Li
623
64
0
10 Feb 2021
Classification and reconstruction of optical quantum states with deep neural networks
Physical Review Research (PRResearch), 2020
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
292
77
0
03 Dec 2020
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
1.3K
6
0
10 Nov 2020
Learning Sub-Patterns in Piecewise Continuous Functions
Neurocomputing (Neurocomputing), 2020
Anastasis Kratsios
Behnoosh Zamanlooy
367
11
0
29 Oct 2020
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