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Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models


Jul 17, 2022
Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan Foster, Lekan Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

* Project Website: https://controllable-latent-state.github.io/ 

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Contextual Bandits with Large Action Spaces: Made Practical


Jul 12, 2022
Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro

* To appear at ICML 2022 

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Interaction-Grounded Learning with Action-inclusive Feedback


Jun 16, 2022
Tengyang Xie, Akanksha Saran, Dylan J. Foster, Lekan Molu, Ida Momennejad, Nan Jiang, Paul Mineiro, John Langford


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Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information


Jun 09, 2022
Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford

* Accepted for presentation at the Conference on Learning Theory (COLT) 2022 

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Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization


Feb 10, 2022
Alberto Bietti, Chen-Yu Wei, Miroslav Dudik, John Langford, Zhiwei Steven Wu


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Provable RL with Exogenous Distractors via Multistep Inverse Dynamics


Oct 17, 2021
Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford


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ChaCha for Online AutoML


Jun 11, 2021
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi

* ICML 2021 
* 16 pages (including supplementary appendix). Appearing at ICML 2021 

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Interaction-Grounded Learning


Jun 09, 2021
Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad

* Published in ICML 2021 

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Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication


Nov 23, 2020
Jayant Gupchup, Ashkan Aazami, Yaran Fan, Senja Filipi, Tom Finley, Scott Inglis, Marcus Asteborg, Luke Caroll, Rajan Chari, Markus Cozowicz, Vishak Gopal, Vinod Prakash, Sasikanth Bendapudi, Jack Gerrits, Eric Lau, Huazhou Liu, Marco Rossi, Dima Slobodianyk, Dmitri Birjukov, Matty Cooper, Nilesh Javar, Dmitriy Perednya, Sriram Srinivasan, John Langford, Ross Cutler, Johannes Gehrke

* Workshop on ML for Systems at NeurIPS 2020, Accepted 

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