Minimax Optimal Estimation of KL Divergence for Continuous Distributions

26 February 2020

Papers citing "Minimax Optimal Estimation of KL Divergence for Continuous Distributions"

8 / 8 papers shown

Title
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding Fateme Jamshidi S. Akbari Negar Kiyavash CML 88 0 0 10 Mar 2025
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low Patrick Jaillet 90 5 0 02 Apr 2024
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 96 11 0 03 Aug 2023
DP-Auditorium: a Large Scale Library for Auditing Differential Privacy William Kong Andrés Munoz Medina Mónica Ribero Umar Syed 70 4 0 10 Jul 2023
Embedding Functional Data: Multidimensional Scaling and Manifold Learning E. Arias-Castro Wanli Qiao 70 0 0 30 Aug 2022
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence Carles Domingo-Enrich Youssef Mroueh 55 5 0 27 May 2022
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features Qingfeng Xu Zhenguo Nie Handing Xu Hao Zhou Xin-Jun Liu AI4CE 16 1 0 12 Mar 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang Wanwei Liu Zhenbang Chen Ji Wang KenLi Li 110 26 0 10 Feb 2021