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A short note on an inequality between KL and TV
v1v2 (latest)

A short note on an inequality between KL and TV

15 February 2022
C. Canonne
ArXiv (abs)PDFHTML

Papers citing "A short note on an inequality between KL and TV"

25 / 25 papers shown
Title
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission
Seungeun Oh
Jinhyuk Kim
Jihong Park
Seung-Woo Ko
Jinho Choi
Tony Q. S. Quek
Seong-Lyun Kim
65
0
0
17 May 2025
Sample Complexity of Identifying the Nonredundancy of Nontransitive Games in Dueling Bandits
Sample Complexity of Identifying the Nonredundancy of Nontransitive Games in Dueling Bandits
Shang Lu
Shuji Kijima
67
0
0
08 May 2025
Authenticated Sublinear Quantum Private Information Retrieval
Authenticated Sublinear Quantum Private Information Retrieval
Fengxia Liu
Zhiyong Zheng
Kun Tian
Yi Zhang
Heng Guo
Zhe Hu
Oleksiy Zhedanov
Zixian Gong
95
0
0
05 Apr 2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective
Okan Koç
Alexander Soen
Chao-Kai Chiang
Masashi Sugiyama
OODAAML
112
0
0
11 Mar 2025
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion
Giannis Daras
Yeshwanth Cherapanamjeri
Constantinos Daskalakis
DiffM
101
9
0
05 Nov 2024
Adaptive and oblivious statistical adversaries are equivalent
Adaptive and oblivious statistical adversaries are equivalent
Guy Blanc
Gregory Valiant
AAML
60
2
0
17 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
172
4
0
11 Oct 2024
Learning Representations for Independence Testing
Learning Representations for Independence Testing
Nathaniel Xu
Feng Liu
Danica J. Sutherland
BDL
103
0
0
10 Sep 2024
Inference of rankings planted in random tournaments
Inference of rankings planted in random tournaments
Dmitriy Kunisky
Daniel A. Spielman
Xifan Yu
57
0
0
23 Jul 2024
Privacy Preserving Reinforcement Learning for Population Processes
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao
Kee Siong Ng
60
1
0
25 Jun 2024
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi
  Divergence
Robust Semi-supervised Learning via fff-Divergence and ααα-Rényi Divergence
Gholamali Aminian
Amirhossien Bagheri
Mahyar JafariNodeh
Radmehr Karimian
Mohammad Hossein Yassaee
49
1
0
01 May 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network
Epistemic Uncertainty Quantification For Pre-trained Neural Network
Hanjing Wang
Qiang Ji
UQCV
79
3
0
15 Apr 2024
Cryptographic Hardness of Score Estimation
Cryptographic Hardness of Score Estimation
Min Jae Song
60
0
0
04 Apr 2024
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Cassidy Laidlaw
Shivam Singhal
Anca Dragan
AAML
88
11
0
05 Mar 2024
Investigating the Histogram Loss in Regression
Investigating the Histogram Loss in Regression
Ehsan Imani
Kai Luedemann
Sam Scholnick-Hughes
Esraa Elelimy
Martha White
UQCV
55
6
0
20 Feb 2024
On provable privacy vulnerabilities of graph representations
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
64
0
0
06 Feb 2024
Error Norm Truncation: Robust Training in the Presence of Data Noise for
  Text Generation Models
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li
Haoran Xu
Philipp Koehn
Daniel Khashabi
Kenton W. Murray
88
4
0
02 Oct 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning
  Using Partial Information Decomposition
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
Faisal Hamman
Sanghamitra Dutta
FedML
77
11
0
21 Jul 2023
From Adaptive Query Release to Machine Unlearning
From Adaptive Query Release to Machine Unlearning
Enayat Ullah
R. Arora
MU
47
5
0
20 Jul 2023
A unifying framework for differentially private quantum algorithms
A unifying framework for differentially private quantum algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
FedML
71
9
0
10 Jul 2023
Conservative Prediction via Data-Driven Confidence Minimization
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
71
5
0
08 Jun 2023
Principal Feature Detection via $Φ$-Sobolev Inequalities
Principal Feature Detection via ΦΦΦ-Sobolev Inequalities
Matthew T.C. Li
Youssef Marzouk
O. Zahm
63
9
0
10 May 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
123
11
0
03 Oct 2022
Instance-dependent uniform tail bounds for empirical processes
Instance-dependent uniform tail bounds for empirical processes
S. Bahmani
21
0
0
21 Sep 2022
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding
  the Maximal AUC
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC
Song Liu
20
0
0
18 Oct 2021
1