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"

9 / 9 papers shown

Title
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 46 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 50 22 0 30 Dec 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 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 32 17 0 11 Mar 2021
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 42 209 0 13 Oct 2018
Minimax Estimation of Quadratic Fourier Functionals Shashank Singh Bharath K. Sriperumbudur Barnabás Póczós 31 4 0 30 Mar 2018
A Gaussian Process Regression Model for Distribution Inputs François Bachoc Fabrice Gamboa Jean-Michel Loubes N. Venet 23 51 0 31 Jan 2017
Fast Distribution To Real Regression Junier B. Oliva Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 38 43 0 10 Nov 2013
One-Class Support Measure Machines for Group Anomaly Detection Krikamol Muandet Bernhard Schölkopf 36 80 0 01 Mar 2013