Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1202.3758
Cited By
Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions
14 February 2012
Barnabás Póczós
L. Xiong
J. Schneider
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions"
31 / 31 papers shown
Title
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
127
10
0
03 Feb 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
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Xinran Liu
Andrea Soltoggio
Soheil Kolouri
94
8
0
11 Dec 2021
Learned Uncertainty Calibration for Visual Inertial Localization
Stephanie Tsuei
Stefano Soatto
Paulo Tabuada
Mark B. Milam
33
2
0
05 Oct 2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen
Huan Wang
Lav Varshney
Caiming Xiong
R. Socher
54
12
0
07 Jun 2021
Non-Asymptotic Performance Guarantees for Neural Estimation of
f
\mathsf{f}
f
-Divergences
Sreejith Sreekumar
Zhengxin Zhang
Ziv Goldfeld
FedML
72
18
0
11 Mar 2021
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search
Adam Hare
Yu Chen
Yinan Liu
Zhenming Liu
Christopher G. Brinton
54
2
0
02 Dec 2020
Variational Representations and Neural Network Estimation of Rényi Divergences
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
Jie Wang
67
33
0
07 Jul 2020
Irregular Convolutional Auto-Encoder on Point Clouds
Yuhui Zhang
G. Gutmann
Konagaya Akihiko
3DPC
35
2
0
07 Oct 2019
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
M. Noshad
L. Xu
Alfred Hero
29
12
0
16 Sep 2019
Statistical estimation of the Kullback-Leibler divergence
A. Bulinski
Denis Dimitrov
60
18
0
29 Jun 2019
From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again
Xiaosheng Mu
L. Pomatto
P. Strack
Omer Tamuz
28
3
0
06 Jun 2019
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
97
212
0
13 Oct 2018
Population Anomaly Detection through Deep Gaussianization
David Tolpin
11
2
0
05 May 2018
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
5
0
30 Mar 2018
Bayesian Approaches to Distribution Regression
H. Law
Danica J. Sutherland
Dino Sejdinovic
Seth Flaxman
OOD
UQCV
BDL
91
37
0
11 May 2017
A Gaussian Process Regression Model for Distribution Inputs
François Bachoc
Fabrice Gamboa
Jean-Michel Loubes
N. Venet
106
53
0
31 Jan 2017
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection
Yuheng Bu
Shaofeng Zou
Venugopal V. Veeravalli
49
19
0
21 Jan 2017
Uncertain programming model for multi-item solid transportation problem
Hasan Dalman
155
749
0
31 May 2016
Efficient Nonparametric Smoothness Estimation
Shashank Singh
S. Du
Barnabás Póczós
72
4
0
19 May 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
81
9
0
10 Feb 2016
Exponential Series Approaches for Nonparametric Graphical Models
Eric Janofsky
92
9
0
11 Jun 2015
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy
A. Krishnamurthy
Barnabás Póczós
Larry A. Wasserman
J. M. Robins
TDI
106
20
0
17 Nov 2014
Learning Theory for Distribution Regression
Z. Szabó
Bharath K. Sriperumbudur
Barnabás Póczós
Arthur Gretton
OOD
114
140
0
08 Nov 2014
On Estimating
L
2
2
L_2^2
L
2
2
Divergence
A. Krishnamurthy
Kirthevasan Kandasamy
Barnabás Póczós
Larry A. Wasserman
71
7
0
30 Oct 2014
co-BPM: a Bayesian Model for Divergence Estimation
Kun Yang
Hao Su
W. Wong
91
3
0
02 Oct 2014
Two-stage Sampled Learning Theory on Distributions
Z. Szabó
Arthur Gretton
Barnabás Póczós
Bharath K. Sriperumbudur
OOD
31
3
0
07 Feb 2014
Fast Distribution To Real Regression
Junier B. Oliva
Willie Neiswanger
Barnabás Póczós
J. Schneider
Eric Xing
77
45
0
10 Nov 2013
One-Class Support Measure Machines for Group Anomaly Detection
Krikamol Muandet
Bernhard Schölkopf
103
80
0
01 Mar 2013
Distribution-Free Distribution Regression
Barnabás Póczós
Alessandro Rinaldo
Aarti Singh
Larry A. Wasserman
116
100
0
01 Feb 2013
Kernels on Sample Sets via Nonparametric Divergence Estimates
Danica J. Sutherland
L. Xiong
Barnabas Poczos
J. Schneider
88
25
0
01 Feb 2012
1