Yeming Wen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Lifelong Learning

Code Generation

Top Venues

Publications

Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov
Grounding Data Science Code Generation with Input-Output Specifications. CoRR (2024)
Yeming Wen, Swarat Chaudhuri
Batched Low-Rank Adaptation of Foundation Models. ICLR (2024)
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. J. Mach. Learn. Res. 24 (2023)
Amitayush Thakur, Yeming Wen, Swarat Chaudhuri
A Language-Agent Approach to Formal Theorem-Proving. CoRR (2023)
Yeming Wen, Swarat Chaudhuri
Batched Low-Rank Adaptation of Foundation Models. CoRR (2023)
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton
Natural Language to Code Generation in Interactive Data Science Notebooks. ACL (1) (2023)
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton
Natural Language to Code Generation in Interactive Data Science Notebooks. CoRR (2022)
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. CoRR (2022)
Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine
Neural Program Generation Modulo Static Analysis. CoRR (2021)
Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran
Combining Ensembles and Data Augmentation Can Harm Your Calibration. ICLR (2021)
Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Christopher M. Jermaine
Neural Program Generation Modulo Static Analysis. NeurIPS (2021)
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR (2021)
Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran
Combining Ensembles and Data Augmentation can Harm your Calibration. CoRR (2020)
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. CoRR (2020)
Yeming Wen, Dustin Tran, Jimmy Ba
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning. CoRR (2020)
Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. ICML (2020)
Yeming Wen, Dustin Tran, Jimmy Ba
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning. ICLR (2020)
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS (2020)
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR (2019)
Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba
Benchmarking Model-Based Reinforcement Learning. CoRR (2019)
Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger B. Grosse
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches. CoRR (2018)
Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger B. Grosse
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches. ICLR (Poster) (2018)