Robust probabilistic inference via a constrained transport metric

17 March 2023

Papers citing "Robust probabilistic inference via a constrained transport metric"

25 / 25 papers shown

Title
An MCMC Approach to Classical Estimation Victor Chernozhukov H. Hong 195 819 0 18 Jan 2023
Consistency of mixture models with a prior on the number of components Jeffrey W. Miller 59 72 0 06 May 2022
Differential privacy and robust statistics in high dimensions Xiyang Liu Weihao Kong Sewoong Oh 24 66 0 12 Nov 2021
Bayesian Estimation and Comparison of Conditional Moment Models S. Chib Minchul Shin Anna Simoni 23 6 0 26 Oct 2021
Robust Fairness-aware Learning Under Sample Selection Bias Wei Du Xintao Wu FaML OOD 22 12 0 24 May 2021
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 50 22 0 08 Jul 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 50 121 0 21 Feb 2020
Privacy-preserving parametric inference: a case for robust statistics Marco Avella-Medina 29 51 0 22 Nov 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 54 176 0 28 Jul 2019
Fair quantile regression Dana Yang John D. Lafferty D. Pollard 36 6 0 19 Jul 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 44 246 0 30 May 2019
Adversarially robust transfer learning Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein OOD 28 116 0 20 May 2019
Tree-Sliced Variants of Wasserstein Distances Tam Le M. Yamada Kenji Fukumizu Marco Cuturi OT 26 81 0 01 Feb 2019
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 101 37 0 10 Oct 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions Boris Muzellec Marco Cuturi 52 78 0 19 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 89 2,051 0 18 Apr 2018
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 108 211 0 09 Oct 2017
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 46 349 0 29 May 2017
Bayesian Estimation and Comparison of Moment Condition Models S. Chib Minchul Shin Anna Simoni 36 49 0 09 Jun 2016
Word Representations via Gaussian Embedding Luke Vilnis Andrew McCallum 65 385 0 20 Dec 2014
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 71 265 0 11 Dec 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures Stanislav Minsker Sanvesh Srivastava Lizhen Lin David B. Dunson 77 110 0 11 Mar 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 140 4,210 0 04 Jun 2013
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery Stephen Becker Emmanuel J. Candès Michael C. Grant 70 680 0 10 Sep 2010
Gibbs posterior for variable selection in high-dimensional classification and data mining Wenxin Jiang M. Tanner 67 116 0 31 Oct 2008