Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

14 June 2021

Papers citing "Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data"

7 / 7 papers shown

Title
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Feng Liu 87 0 0 30 Nov 2024
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 34 0 0 10 Sep 2024
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Mateus P. Otto Rafael Izbicki 32 1 0 11 Nov 2022
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms Guangzhi Ma Jie Lu Feng Liu Zhen Fang Guangquan Zhang 10 6 0 09 Jun 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators Wenkai Xu Gesine Reinert 27 4 0 07 Mar 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016