Bernstein, Jeremy

8 publications

ICML 2025 Modular Duality in Deep Learning Jeremy Bernstein, Laker Newhouse

NeurIPSW 2024 Old Optimizer, New Norm: An Anthology Jeremy Bernstein, Laker Newhouse

NeurIPS 2024 Scalable Optimization in the Modular Norm Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein

ICML 2021 Learning by Turning: Neural Architecture Aware Optimisation Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue

NeurIPS 2020 Learning Compositional Functions via Multiplicative Weight Updates Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue

NeurIPS 2020 On the Distance Between Two Neural Networks and the Stability of Learning Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu

ICLR 2019 signSGD with Majority Vote Is Communication Efficient and Fault Tolerant Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar

ICML 2018 signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Animashree Anandkumar