Universal Robust Regression via Maximum Mean Discrepancy

1 June 2020

Papers citing "Universal Robust Regression via Maximum Mean Discrepancy"

47 / 47 papers shown

Title
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 95 5 0 11 Aug 2024
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li Dimitri Meunier Mattes Mollenhauer Arthur Gretton 47 49 0 02 Aug 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 181 30,069 0 01 Mar 2022
Nonparametric approximation of conditional expectation operators Mattes Mollenhauer P. Koltai 59 17 0 23 Dec 2020
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 45 14 0 12 Jul 2020
A Global Stochastic Optimization Particle Filter Algorithm Mathieu Gerber Randal Douc 21 2 0 09 Jul 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 90 25 0 04 Feb 2020
A Rigorous Theory of Conditional Mean Embeddings I. Klebanov Ingmar Schuster T. Sullivan 43 40 0 02 Dec 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 119 74 0 29 Sep 2019
Distribution-robust mean estimation via smoothed random perturbations Matthew J. Holland OOD 34 5 0 25 Jun 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 48 92 0 19 Jun 2019
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 45 92 0 07 Jun 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 62 42 0 20 May 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 43 18 0 10 May 2019
$Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator$ Outlier-robust estimation of a sparse linear model using $\ell_1$ -penalized Huber's $M$ -estimator A. Dalalyan Philip Thompson 42 67 0 12 Apr 2019
Confidence regions and minimax rates in outlier-robust estimation on the probability simplex A. Bateni A. Dalalyan 44 6 0 12 Feb 2019
Fast Mean Estimation with Sub-Gaussian Rates Yeshwanth Cherapanamjeri Nicolas Flammarion Peter L. Bartlett 45 78 0 06 Feb 2019
Robust Estimation and Generative Adversarial Nets Chao Gao Jiyi Liu Yuan Yao Weizhi Zhu 61 28 0 04 Oct 2018
Robust classification via MOM minimization Guillaume Lecué M. Lerasle Timlothée Mathieu 42 48 0 09 Aug 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 113 341 0 06 Jul 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression Ilias Diakonikolas Weihao Kong Alistair Stewart 58 161 0 31 May 2018
Some Theoretical Properties of GANs Gérard Biau B. Cadre Maxime Sangnier Ugo Tanielian GAN 32 51 0 21 Mar 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 112 36 0 13 Feb 2018
Dimension-free PAC-Bayesian bounds for the estimation of the mean of a random vector O. Catoni Ilaria Giulini 25 30 0 12 Feb 2018
Minimax estimation of a p-dimensional linear functional in sparse Gaussian models and robust estimation of the mean O. Collier A. Dalalyan 48 8 0 15 Dec 2017
Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression O. Catoni Ilaria Giulini 30 66 0 07 Dec 2017
Robust machine learning by median-of-means : theory and practice Guillaume Lecué M. Lerasle OOD 119 155 0 28 Nov 2017
Characteristic and Universal Tensor Product Kernels Z. Szabó Bharath K. Sriperumbudur 114 72 0 28 Aug 2017
A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum Wenkai Xu Z. Szabó Kenji Fukumizu Arthur Gretton 62 104 0 22 May 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 160 59 0 05 Feb 2017
Regularization, sparse recovery, and median-of-means tournaments Gábor Lugosi S. Mendelson 52 47 0 15 Jan 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 68 52 0 08 Jan 2017
Risk minimization by median-of-means tournaments Gabor Lugosi S. Mendelson 60 131 0 02 Aug 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 75 732 0 31 May 2016
Agnostic Estimation of Mean and Covariance Kevin A. Lai Anup B. Rao Santosh Vempala 66 344 0 24 Apr 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 64 511 0 21 Apr 2016
Robust dimension-free Gram operator estimates Ilaria Giulini 36 24 0 19 Nov 2015
Sub-Gaussian mean estimators Luc Devroye M. Lerasle Gabor Lugosi R. Oliveira 108 186 0 19 Sep 2015
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model Mengjie Chen Chao Gao Zhao Ren 65 165 0 01 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 82 528 0 14 May 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 93 844 0 10 Feb 2015
Geometric median and robust estimation in Banach spaces Stanislav Minsker 111 312 0 06 Aug 2013
Loss minimization and parameter estimation with heavy tails Daniel J. Hsu Sivan Sabato 84 188 0 07 Jul 2013
Robust empirical mean Estimators M. Lerasle R. I. Oliveira 89 81 0 16 Dec 2011
Robust linear least squares regression Jean-Yves Audibert O. Catoni 92 99 0 01 Oct 2010
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 112 462 0 10 Sep 2010
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 158 741 0 30 Jul 2009