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Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations

17 November 2014

Papers citing "Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations"

5 / 5 papers shown

Title
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 70 11 0 06 May 2023
Visually Communicating and Teaching Intuition for Influence Functions Aaron Fisher Edward H. Kennedy 211 55 0 08 Oct 2018
Independence clustering (without a matrix) D. Ryabko 83 6 0 20 Mar 2017
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 138 210 0 29 Jul 2016
Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series David M. Darmon 49 20 0 08 Jun 2016