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Jonathan Weed

Massachusetts Institute of Technology

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Publication

Featured researches published by Jonathan Weed.

neural information processing systems | 2017

Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

Jason Altschuler; Jonathan Weed; Philippe Rigollet

conference on learning theory | 2015

Online learning in repeated auctions

Jonathan Weed; Vianney Perchet; Philippe Rigollet

arXiv: Statistics Theory | 2017

Optimal rates of estimation for multi-reference alignment

Afonso S. Bandeira; Philippe Rigollet; Jonathan Weed

arXiv: Information Theory | 2017

The sample complexity of multi-reference alignment.

Amelia Perry; Jonathan Weed; Afonso S. Bandeira; Philippe Rigollet; Amit Singer

Archive | 2018

Statistical Optimal Transport via Geodesic Hubs.

Aden Forrow; Jan-Christian Hütter; Mor Nitzan; Geoffrey Schiebinger; Philippe Rigollet; Jonathan Weed

arXiv: Statistics Theory | 2017

Estimation under group actions: recovering orbits from invariants.

Afonso S. Bandeira; Ben Blum-Smith; Amelia Perry; Jonathan Weed; Alexander S. Wein

algorithmic learning theory | 2017

Minimax Rates and Efficient Algorithms for Noisy Sorting.

Cheng Mao; Jonathan Weed; Philippe Rigollet

conference on learning theory | 2018

An explicit analysis of the entropic penalty in linear programming

Jonathan Weed

arXiv: Statistics Theory | 2018

Uncoupled isotonic regression via minimum Wasserstein deconvolution

Philippe Rigollet; Jonathan Weed

arXiv: Statistics Theory | 2018

Entropic optimal transport is maximum-likelihood deconvolution

Philippe Rigollet; Jonathan Weed

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Philippe Rigollet

Princeton University

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Afonso S. Bandeira

Princeton University

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Amelia Perry

Massachusetts Institute of Technology

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Geoffrey Schiebinger

Broad Institute

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Jason Altschuler

Princeton University

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Alexander S. Wein

Massachusetts Institute of Technology

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Amit Singer

Princeton University

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Alessandro Rudi

École Normale Supérieure

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Francis R. Bach

École Normale Supérieure

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Vianney Perchet

École Normale Supérieure

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