Statistical Inference for Generative Models with Maximum Mean
Discrepancy

Statistical Inference for Generative Models with Maximum Mean Discrepancy

13 June 2019

François‐Xavier Briol

Alessandro Barp

Andrew B. Duncan

Papers citing "Statistical Inference for Generative Models with Maximum Mean Discrepancy"

19 / 19 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 68 0 0 03 Mar 2025
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 75 4 0 11 Aug 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 45 3 0 18 Jun 2024
Robust Kernel Hypothesis Testing under Data Corruption Antonin Schrab Ilmun Kim 48 3 0 30 May 2024
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 24 1 0 05 Mar 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 40 12 0 27 Jan 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 24 10 0 28 Oct 2022
Variance-Aware Estimation of Kernel Mean Embedding Geoffrey Wolfer Pierre Alquier 23 4 0 13 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 45 14 0 26 Sep 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 9 2 0 28 Jul 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 28 25 0 20 Mar 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 20 42 0 09 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 32 7 0 21 Jan 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 18 1 0 21 Nov 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 24 14 0 19 Nov 2021
Clustering Market Regimes using the Wasserstein Distance Blanka Horvath Zacharia Issa Aitor Muguruza Gonzalez OOD 25 10 0 22 Oct 2021
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 28 7 0 26 Oct 2020
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 27 90 0 19 Jun 2019