Edward J. Hu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Amortizing intractable inference in large language models. ICLR (2024)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. ICML (2023)
Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Amortizing intractable inference in large language models. CoRR (2023)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. CoRR (2023)
Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio
GFlowNet-EM for learning compositional latent variable models. CoRR (2023)
Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
GFlowNets and variational inference. ICLR (2023)
Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio
GFlowNet Foundations. J. Mach. Learn. Res. 24 (2023)
Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio
GFlowNet-EM for Learning Compositional Latent Variable Models. ICML (2023)
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
LoRA: Low-Rank Adaptation of Large Language Models. ICLR (2022)
Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
GFlowNets and variational inference. CoRR (2022)
Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR (2022)
Greg Yang, Michael Santacroce, Edward J. Hu
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. ICLR (2022)
Greg Yang, Edward J. Hu
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks. ICML (2021)
Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS (2021)
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
GFlowNet Foundations. CoRR (2021)
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen
LoRA: Low-Rank Adaptation of Large Language Models. CoRR (2021)