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Direct Estimation of Information Divergence Using Nearest Neighbor Ratios

17 February 2017

Kevin R. Moon

Papers citing "Direct Estimation of Information Divergence Using Nearest Neighbor Ratios"

22 / 22 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 90 0 0 10 Mar 2025
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data Lan Tao Shi Xu ChiHua Wang Namjoon Suh Guang Cheng 81 6 0 24 May 2024
Limit Distribution Theory for Quantum Divergences Sreejith Sreekumar Mario Berta 65 2 0 22 Nov 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 64 0 0 07 Jul 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 162 8 0 25 May 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe BDL 112 6 0 21 Jan 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 121 23 0 30 Dec 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 86 21 0 08 Jun 2022
The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics Joshua Andle Nicholas Soucy Simon Socolow Salimeh Yasaei Sekeh AI4TS 63 6 0 22 Mar 2022
How do Offline Measures for Exploration in Reinforcement Learning behave? Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater OffRL 17 2 0 29 Oct 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 61 11 0 22 Jun 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 104 16 0 18 Mar 2020
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data M. Noshad L. Xu Alfred Hero 33 12 0 16 Sep 2019
Geometric Estimation of Multivariate Dependency Salimeh Yasaei Sekeh Alfred Hero 48 11 0 21 May 2019
Efficient estimation of divergence-based sensitivity indices with Gaussian process surrogates A. Eggels D. Crommelin 43 0 0 08 Apr 2019
Learning to Bound the Multi-class Bayes Error Salimeh Yasaei Sekeh Brandon Oselio Alfred Hero 36 17 0 15 Nov 2018
Convergence Rates for Empirical Estimation of Binary Classification Bounds Salimeh Yasaei Sekeh M. Noshad Kevin R. Moon Alfred Hero 51 8 0 01 Oct 2018
Minimax Estimation of Quadratic Fourier Functionals Shashank Singh Bharath K. Sriperumbudur Barnabás Póczós 106 5 0 30 Mar 2018
Quantifying dependencies for sensitivity analysis with multivariate input sample data A. Eggels D. Crommelin 67 4 0 06 Feb 2018
Scalable Mutual Information Estimation using Dependence Graphs M. Noshad Yu Zeng Alfred Hero 77 73 0 27 Jan 2018
Rate-optimal Meta Learning of Classification Error M. Iranzad Alfred Hero 32 5 0 31 Oct 2017
Ensemble Estimation of Generalized Mutual Information with Applications to Genomics Kevin R. Moon K. Sricharan Alfred Hero 45 9 0 27 Jan 2017