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Michael R. Zhang

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Unlearnable Algorithms for In-context Learning

Feb 01, 2024
Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot

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Using Large Language Models for Hyperparameter Optimization

Dec 07, 2023
Michael R. Zhang, Nishkrit Desai, Juhan Bae, Jonathan Lorraine, Jimmy Ba

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Boosted Prompt Ensembles for Large Language Models

Apr 12, 2023
Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba

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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Dec 07, 2022
Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Grosse

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Learning Domain Invariant Representations in Goal-conditioned Block MDPs

Oct 28, 2021
Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

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Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization

Apr 28, 2021
Michael R. Zhang, Tom Le Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi

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Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

Apr 23, 2021
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse

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Benchmarks for Deep Off-Policy Evaluation

Mar 30, 2021
Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine

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Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes

Jan 27, 2020
Silviu Pitis, Michael R. Zhang

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Lookahead Optimizer: k steps forward, 1 step back

Jul 19, 2019
Michael R. Zhang, James Lucas, Geoffrey Hinton, Jimmy Ba

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