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Neural Pseudo-Label Optimism for the Bank Loan Problem


Dec 03, 2021
Aldo Pacchiano, Shaun Singh, Edward Chou, Alexander C. Berg, Jakob Foerster

* 10 pages main, 14 pages appendix 

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Looper: An end-to-end ML platform for product decisions


Nov 10, 2021
Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou

* 10 pages + references, 5 figures 

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Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies


Nov 05, 2021
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy

* A short version was presented at MIT CODE 2021 

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Real-world Video Adaptation with Reinforcement Learning


Aug 28, 2020
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy

* Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019 

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Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints


Nov 02, 2019
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

* To appear at NeurIPS 2019, Workshop on Safety and Robustness in Decision Making. 11 pages (including references and appendix) 

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