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ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning


Jan 19, 2021
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Yuxiang Yang

* 14 pages. This is an updated version of a previous submission which can be found at arXiv:1907.06511. See https://github.com/google-research/google-research/tree/master/es_enas for associated code 

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Differentially Private Weighted Sampling


Oct 25, 2020
Edith Cohen, Ofir Geri, Tamas Sarlos, Uri Stemmer

* 30 pages, 6 figures 

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Rethinking Attention with Performers


Sep 30, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller

* 36 pages. This is an updated version of a previous submission which can be found at arXiv:2006.03555. See https://github.com/google-research/google-research/tree/master/protein_lm for protein language model code, and https://github.com/google-research/google-research/tree/master/performer for Performer code 

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Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers


Jun 05, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamas Sarlos, David Belanger, Lucy Colwell, Adrian Weller

* 14 pages, 11 figures 

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Stochastic Flows and Geometric Optimization on the Orthogonal Group


Mar 30, 2020
Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamas Sarlos, Adrian Weller, Vikas Sindhwani


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Reinforcement Learning with Chromatic Networks


Jul 10, 2019
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Deepali Jain, Yuxiang Yang

* 10 main pages, 22 total pages 

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Matrix-Free Preconditioning in Online Learning


May 29, 2019
Ashok Cutkosky, Tamas Sarlos

* ICML 2019 

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Orthogonal Estimation of Wasserstein Distances


Apr 05, 2019
Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamas Sarlos, Adrian Weller

* Published at AISTATS 2019 

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Linear Additive Markov Processes


Apr 05, 2017
Ravi Kumar, Maithra Raghu, Tamas Sarlos, Andrew Tomkins

* Accepted to WWW 2017 

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Structured adaptive and random spinners for fast machine learning computations


Nov 26, 2016
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamas Sarlos, Jamal Atif

* arXiv admin note: substantial text overlap with arXiv:1605.09046 

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TripleSpin - a generic compact paradigm for fast machine learning computations


Jun 06, 2016
Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Tamas Sarlos, Jamal Atif


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Fastfood: Approximate Kernel Expansions in Loglinear Time


Aug 13, 2014
Quoc Viet Le, Tamas Sarlos, Alexander Johannes Smola


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