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

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

17 November 2014
Kirthevasan Kandasamy
A. Krishnamurthy
Barnabás Póczós
Larry A. Wasserman
J. M. Robins
    TDI
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Papers citing "Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations"

3 / 3 papers shown
Title
The Fundamental Limits of Structure-Agnostic Functional Estimation
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
20
11
0
06 May 2023
Visually Communicating and Teaching Intuition for Influence Functions
Visually Communicating and Teaching Intuition for Influence Functions
Aaron Fisher
Edward H. Kennedy
19
51
0
08 Oct 2018
Locally Robust Semiparametric Estimation
Locally Robust Semiparametric Estimation
Victor Chernozhukov
J. Escanciano
Hidehiko Ichimura
Whitney Newey
J. M. Robins
27
205
0
29 Jul 2016
1