Balancing Gaussian vectors in high dimension

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Balancing Gaussian vectors in high dimension

30 October 2019

Philippe Rigollet

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Papers citing "Balancing Gaussian vectors in high dimension"

10 / 10 papers shown

Title
Massively scalable Sinkhorn distances via the Nyström method Jason M. Altschuler Francis R. Bach Alessandro Rudi Jonathan Niles-Weed 48 110 0 12 Dec 2018
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure Matthew Brennan Guy Bresler Wasim Huleihel 101 109 0 19 Jun 2018
Notes on computational-to-statistical gaps: predictions using statistical physics Afonso S. Bandeira Amelia Perry Alexander S. Wein AI4CE 87 58 0 29 Mar 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 72 593 0 26 May 2017
Exact recovery in the Ising blockmodel Quentin Berthet Philippe Rigollet P. Srivastava TPM 102 45 0 12 Dec 2016
Nearly Random Designs with Greatly Improved Balance A. Krieger David Azriel A. Kapelner 41 40 0 07 Dec 2016
Asymptotic Theory of Rerandomization in Treatment-Control Experiments Xinran Li Peng Ding D. Rubin 40 121 0 03 Apr 2016
Optimal A Priori Balance in the Design of Controlled Experiments Nathan Kallus 134 96 0 02 Dec 2013
Rerandomization to improve covariate balance in experiments Kari Lock Morgan D. Rubin CML 67 337 0 24 Jul 2012
Optimal detection of sparse principal components in high dimension Quentin Berthet Philippe Rigollet 111 284 0 23 Feb 2012

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