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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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Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set

May 27, 2021
Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko

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Learning Prediction Intervals for Regression: Generalization and Calibration

Feb 26, 2021
Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang

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Interpret-able feedback for AutoML systems

Feb 22, 2021
Behnaz Arzani, Kevin Hsieh, Haoxian Chen

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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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