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Optimal Bounds between $f$-Divergences and Integral Probability Metrics
v1v2v3 (latest)

Optimal Bounds between fff-Divergences and Integral Probability Metrics

10 June 2020
R. Agrawal
Thibaut Horel
ArXiv (abs)PDFHTML

Papers citing "Optimal Bounds between $f$-Divergences and Integral Probability Metrics"

12 / 12 papers shown
Title
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Viktor Stein
Sebastian Neumayer
Gabriele Steidl
Nicolaj Rux
164
11
0
07 Feb 2024
Understanding Contrastive Learning via Distributionally Robust
  Optimization
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
120
27
0
17 Oct 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal Transport
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
73
2
0
14 Mar 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
127
12
0
03 Oct 2022
Information Processing Equalities and the Information-Risk Bridge
Information Processing Equalities and the Information-Risk Bridge
Robert C. Williamson
Zac Cranko
72
5
0
25 Jul 2022
Concentration of discrepancy-based approximate Bayesian computation via
  Rademacher complexity
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
Sirio Legramanti
Daniele Durante
Pierre Alquier
98
6
0
14 Jun 2022
Outcome Assumptions and Duality Theory for Balancing Weights
Outcome Assumptions and Duality Theory for Balancing Weights
David Bruns-Smith
Avi Feller
62
5
0
17 Mar 2022
Unified Perspective on Probability Divergence via Maximum Likelihood
  Density Ratio Estimation: Bridging KL-Divergence and Integral Probability
  Metrics
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
Masahiro Kato
Masaaki Imaizumi
Kentaro Minami
71
0
0
31 Jan 2022
Optimal transport with $f$-divergence regularization and generalized
  Sinkhorn algorithm
Optimal transport with fff-divergence regularization and generalized Sinkhorn algorithm
Dávid Terjék
Diego González-Sánchez
OT
70
8
0
29 May 2021
Martingale Methods for Sequential Estimation of Convex Functionals and
  Divergences
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
Tudor Manole
Aaditya Ramdas
73
20
0
16 Mar 2021
Moreau-Yosida $f$-divergences
Moreau-Yosida fff-divergences
Dávid Terjék
90
6
0
26 Feb 2021
Classification and reconstruction of optical quantum states with deep
  neural networks
Classification and reconstruction of optical quantum states with deep neural networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
88
64
0
03 Dec 2020
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