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Universal Robust Regression via Maximum Mean Discrepancy
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Universal Robust Regression via Maximum Mean Discrepancy

Biometrika (Biometrika), 2020
1 June 2020
Pierre Alquier
Mathieu Gerber
ArXiv (abs)PDFHTML

Papers citing "Universal Robust Regression via Maximum Mean Discrepancy"

12 / 12 papers shown
Robust Analysis for Resilient AI System
Robust Analysis for Resilient AI System
Yu Wang
Ran Jin
Lulu Kang
AAML
158
0
0
07 Sep 2025
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
Charita Dellaporta
Patrick O'Hara
Theodoros Damoulas
366
1
0
06 May 2025
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
449
6
0
26 Apr 2025
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
708
7
0
11 Aug 2024
Constructing Synthetic Treatment Groups without the Mean Exchangeability
  Assumption
Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption
Yuhang Zhang
Yue Liu
Zhihua Zhang
235
0
0
28 Sep 2023
Learning Robust Statistics for Simulation-based Inference under Model
  Misspecification
Learning Robust Statistics for Simulation-based Inference under Model MisspecificationNeural Information Processing Systems (NeurIPS), 2023
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
548
58
0
25 May 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
  Likelihood-Free Inference
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceInternational Conference on Machine Learning (ICML), 2023
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
537
16
0
27 Jan 2023
Minimum Kernel Discrepancy Estimators
Minimum Kernel Discrepancy Estimators
Chris J. Oates
310
10
0
28 Oct 2022
Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
307
60
0
09 Feb 2022
Discrepancy-based Inference for Intractable Generative Models using
  Quasi-Monte Carlo
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte CarloElectronic Journal of Statistics (EJS), 2021
Ziang Niu
J. Meier
F. Briol
404
14
0
22 Jun 2021
Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and
  Depth in Functional Data Analysis
Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data AnalysisInternational Statistical Review (ISR), 2021
George Wynne
Stanislav Nagy
269
8
0
26 May 2021
Estimation of copulas via Maximum Mean Discrepancy
Estimation of copulas via Maximum Mean DiscrepancyJournal of the American Statistical Association (JASA), 2020
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
A. Derumigny
J. Fermanian
333
19
0
01 Oct 2020
1
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