Learning Deep Kernels for Non-Parametric Two-Sample Tests

21 February 2020

Papers citing "Learning Deep Kernels for Non-Parametric Two-Sample Tests"

30 / 30 papers shown

Title
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 44 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Low-Rank Thinning Annabelle Michael Carrell Albert Gong Abhishek Shetty Raaz Dwivedi Lester W. Mackey 58 0 0 17 Feb 2025
Topological Signatures of Adversaries in Multimodal Alignments Minh Vu Geigh Zollicoffer Huy Mai B. Nebgen Boian S. Alexandrov Manish Bhattarai AAML 65 0 0 29 Jan 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Chaoqi Wang Zhuokai Zhao Yibo Jiang Zhaorun Chen Chen Zhu ... Jiayi Liu Lizhu Zhang Xiangjun Fan Hao Ma Sinong Wang 77 3 0 17 Jan 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou M. Gong Feng Liu Feng Liu 87 0 0 30 Nov 2024
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 37 1 0 17 Oct 2024
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 31 0 0 10 Sep 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 41 1 0 12 Jun 2024
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering Hui Tang Yaowei Wang K. Jia OOD 17 43 0 23 Feb 2023
Boosting the Power of Kernel Two-Sample Tests Anirban Chatterjee B. Bhattacharya 40 3 0 21 Feb 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 33 9 0 14 Jan 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 18 6 0 15 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
A uniform kernel trick for high-dimensional two-sample problems Javier Cárcamo Antonio Cuevas Luis-Alberto Rodríguez 25 3 0 05 Oct 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 53 11 0 04 Jul 2022
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms Guangzhi Ma Jie Lu Feng Liu Zhen Fang Guangquan Zhang 8 6 0 09 Jun 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Xiao Wang Qi Zhu CLL FedML 24 168 0 22 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 21 18 0 02 Mar 2022
Discovering Distribution Shifts using Latent Space Representations Leo Betthauser Urszula Chajewska M. Diesendruck Rohith Pesala OOD 16 5 0 04 Feb 2022
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 18 60 0 30 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 32 4 0 23 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 15 19 0 14 Jun 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 21 19 0 12 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 184 0 12 Jan 2021
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 28 70 0 04 Aug 2020
Unbiased estimators for the variance of MMD estimators Danica J. Sutherland Namrata Deka 19 11 0 05 Jun 2019
Learning Smooth Representation for Unsupervised Domain Adaptation Guanyu Cai Lianghua He Mengchu Zhou H. Alhumade D. Hu 18 16 0 26 May 2019
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016