Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1411.4342
Cited By
v1
v2
v3 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
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
202
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
45
20
0
08 Jun 2016
1