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A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness


May 01, 2022
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan

* arXiv admin note: text overlap with arXiv:2006.10108 

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Neural Program Generation Modulo Static Analysis


Nov 22, 2021
Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine

* Accepted for publication at Neurips 2021 

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Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning


Jun 07, 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


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Combining Ensembles and Data Augmentation can Harm your Calibration


Oct 19, 2020
Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran


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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors


May 14, 2020
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-an Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran

* Code available at https://github.com/google/edward2 

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BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning


Feb 20, 2020
Yeming Wen, Dustin Tran, Jimmy Ba

* Eighth International Conference on Learning Representations (ICLR 2020) 

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BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning


Feb 17, 2020
Yeming Wen, Dustin Tran, Jimmy Ba

* In International Conference on Learning Representations, 2020 

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Benchmarking Model-Based Reinforcement Learning


Jul 03, 2019
Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba

* 8 main pages, 8 figures; 14 appendix pages, 25 figures 

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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise


Apr 03, 2019
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba


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