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Krzysztof Choromanski

Google, Inc

Hybrid Random Features


Oct 13, 2021
Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller


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Graph Kernel Attention Transformers


Jul 16, 2021
Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder

* 18 pages, 9 figures 

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Debiasing a First-order Heuristic for Approximate Bi-level Optimization


Jun 08, 2021
Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. arXiv admin note: text overlap with arXiv:2006.03631 

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On the Expressive Power of Self-Attention Matrices


Jun 08, 2021
Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller


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Unlocking Pixels for Reinforcement Learning via Implicit Attention


Mar 04, 2021
Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller


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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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MLGO: a Machine Learning Guided Compiler Optimizations Framework


Jan 13, 2021
Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li

* First two authors are equal contributors 

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Sub-Linear Memory: How to Make Performers SLiM


Dec 21, 2020
Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller


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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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An Ode to an ODE


Jun 23, 2020
Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani

* 20 pages, 9 figures 

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On Optimism in Model-Based Reinforcement Learning


Jun 21, 2020
Aldo Pacchiano, Philip Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts


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Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies


Jun 13, 2020
Yunhao Tang, Krzysztof Choromanski


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UFO-BLO: Unbiased First-Order Bilevel Optimization


Jun 05, 2020
Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller


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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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Demystifying Orthogonal Monte Carlo and Beyond


May 27, 2020
Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski

* 22 pages, 4 figures 

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Time Dependence in Non-Autonomous Neural ODEs


May 06, 2020
Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani


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CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices


Apr 18, 2020
Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller


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Robotic Table Tennis with Model-Free Reinforcement Learning


Mar 31, 2020
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly

* 8 pages, 4 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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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning


Mar 02, 2020
Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan

* For associated video file, see http://youtu.be/_QPMCDdFC3E 

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Ready Policy One: World Building Through Active Learning


Feb 07, 2020
Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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Effective Diversity in Population-Based Reinforcement Learning


Feb 03, 2020
Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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ES-MAML: Simple Hessian-Free Meta Learning


Oct 05, 2019
Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang

* 10 main pages, 21 total pages, 21 figures 

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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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Wasserstein Reinforcement Learning


Jun 19, 2019
Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan


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