Zhang, Michael R

8 publications

ICML 2025 Fast Exact Unlearning for In-Context Learning Data for LLMs Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot

NeurIPSW 2024 Report Cards: Qualitative Evaluation of LLMs Using Natural Language Summaries Blair Yang, Fuyang Cui, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang

ICLR 2023 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse

NeurIPSW 2023 Using Large Language Models for Hyperparameter Optimization Michael R. Zhang, Nishkrit Desai, Juhan Bae, Jonathan Lorraine, Jimmy Ba

ICMLW 2022 Robustness to Adversarial Gradients: A Glimpse into the Loss Landscape of Contrastive Pre-Training Philip Fradkin, Lazar Atanackovic, Michael R. Zhang

ICLR 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael R Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi

ICLR 2021 Benchmarks for Deep Off-Policy Evaluation 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, Thomas Paine

ICML 2021 On Monotonic Linear Interpolation of Neural Network Parameters James R Lucas, Juhan Bae, Michael R Zhang, Stanislav Fort, Richard Zemel, Roger B Grosse