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1007.0097
Cited By
On Pairs of
f
f
f
-divergences and their Joint Range
1 July 2010
P. Harremoes
I. Vajda
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Papers citing
"On Pairs of $f$-divergences and their Joint Range"
24 / 24 papers shown
Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning
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Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
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The Sample Complexity of Simple Binary Hypothesis Testing
Ankit Pensia
Varun Jog
Po-Ling Loh
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25 Mar 2024
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
642
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0
26 Oct 2023
Transfer Learning for Portfolio Optimization
Haoyang Cao
Haotian Gu
Xin Guo
M. Rosenbaum
276
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25 Jul 2023
Smoothed
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-Divergence Distributionally Robust Optimization
Zhen-Yan Liu
Bart P. G. Van Parys
Henry Lam
377
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24 Jun 2023
Feasibility of Transfer Learning: A Mathematical Framework
Haoyang Cao
Haotian Gu
Xin Guo
258
11
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22 May 2023
Principal Feature Detection via
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Bernoulli (Bernoulli), 2023
Matthew T.C. Li
Youssef Marzouk
O. Zahm
275
15
0
10 May 2023
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
Annual Conference Computational Learning Theory (COLT), 2023
Adam Block
Yury Polyanskiy
404
13
0
09 Feb 2023
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
Haoyang Cao
Haotian Gu
Xin Guo
M. Rosenbaum
187
2
0
27 Jan 2023
Tighter expected generalization error bounds via Wasserstein distance
Neural Information Processing Systems (NeurIPS), 2021
Borja Rodríguez Gálvez
Germán Bassi
Ragnar Thobaben
Mikael Skoglund
321
51
0
22 Jan 2021
Strongly Convex Divergences
J. Melbourne
AI4CE
174
15
0
22 Sep 2020
On the Efficient Estimation of Min-Entropy
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Yongjune Kim
Cyril Guyot
Young-Sik Kim
172
21
0
21 Sep 2020
Three Variants of Differential Privacy: Lossless Conversion and Applications
S. Asoodeh
Jiachun Liao
Flavio du Pin Calmon
O. Kosut
Lalitha Sankar
315
47
0
14 Aug 2020
Optimal Bounds between
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f
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International Conference on Machine Learning (ICML), 2020
R. Agrawal
Thibaut Horel
344
48
0
10 Jun 2020
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via
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International Symposium on Information Theory (ISIT), 2020
S. Asoodeh
Jiachun Liao
Flavio du Pin Calmon
O. Kosut
Lalitha Sankar
FedML
225
42
0
16 Jan 2020
Transitions, Losses, and Re-parameterizations: Elements of Prediction Games
Parameswaran Kamalaruban
154
2
0
20 May 2018
Minimax Lower Bounds for Cost Sensitive Classification
Parameswaran Kamalaruban
Robert C. Williamson
120
3
0
20 May 2018
Fano's inequality for random variables
Statistical Science (Stat. Sci.), 2017
Sébastien Gerchinovitz
Pierre Ménard
Jean-Michel Poggi
FedML
260
34
0
20 Feb 2017
The Quality of the Covariance Selection Through Detection Problem and AUC Bounds
N. T. Khajavi
A. Kuh
246
8
0
18 May 2016
Linear Bounds between Contraction Coefficients for
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A. Makur
Lizhong Zheng
340
14
0
07 Oct 2015
Strong data-processing inequalities for channels and Bayesian networks
Yury Polyanskiy
Yihong Wu
459
127
0
25 Aug 2015
Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices
Probability theory and related fields (PTRF), 2013
Tony Cai
Zongming Ma
Yihong Wu
777
166
0
14 May 2013
Sharp Inequalities for
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IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Adityanand Guntuboyina
Sujayam Saha
Geoffrey Schiebinger
254
35
0
02 Feb 2013
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