Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions

14 February 2012

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 $\mathsf{f}$-Divergences$ Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$ -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 64 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 97 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 $L_2^2$ 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