Testing Goodness of Fit of Conditional Density Models with Kernels

24 February 2020

Papers citing "Testing Goodness of Fit of Conditional Density Models with Kernels"

11 / 11 papers shown

Title
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach Jiajun Luo Trambak Banerjee Gourab Mukherjee Wenguang Sun 70 0 0 17 Feb 2025
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 46 1 0 12 Jun 2024
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Mateus P. Otto Rafael Izbicki 35 1 0 11 Nov 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 30 7 0 05 Aug 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 30 14 0 19 Nov 2021
A moment-matching metric for latent variable generative models Cédric Beaulac 14 1 0 04 Oct 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
Statistical Testing under Distributional Shifts Nikolaj Thams Sorawit Saengkyongam Niklas Pfister J. Peters OOD 51 9 0 22 May 2021
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016