v1v2 (latest)

A short note on an inequality between KL and TV

15 February 2022

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 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 Shang Lu Shuji Kijima 67 0 0 08 May 2025
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 OOD AAML 112 0 0 11 Mar 2025
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 Guy Blanc Gregory Valiant AAML 60 2 0 17 Oct 2024
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 Nathaniel Xu Feng Liu Danica J. Sutherland BDL 103 0 0 10 Sep 2024
Inference of rankings planted in random tournaments Dmitriy Kunisky Daniel A. Spielman Xifan Yu 55 0 0 23 Jul 2024
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 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 Hanjing Wang Qiang Ji UQCV 79 3 0 15 Apr 2024
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 Cassidy Laidlaw Shivam Singhal Anca Dragan AAML 88 11 0 05 Mar 2024
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 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 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 Faisal Hamman Sanghamitra Dutta FedML 77 11 0 21 Jul 2023
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 Armando Angrisani Mina Doosti E. Kashefi FedML 71 9 0 10 Jul 2023
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 Matthew T.C. Li Youssef Marzouk O. Zahm 63 9 0 10 May 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 119 11 0 03 Oct 2022
Instance-dependent uniform tail bounds for empirical processes S. Bahmani 19 0 0 21 Sep 2022
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC Song Liu 18 0 0 18 Oct 2021