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John Langford

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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

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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

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Interaction-Grounded Learning

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

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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

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Learning the Linear Quadratic Regulator from Nonlinear Observations

Oct 08, 2020
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

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Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting

Jun 12, 2020
Keyi Chen, John Langford, Francesco Orabona

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