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Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision


Dec 09, 2021
Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo

* Submitted to IEEE TPAMI. Code is available at https://github.com/vis-opt-group/RUAS 

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DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization


Dec 09, 2021
Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron Courville, George Tucker, Sergey Levine


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Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification


Nov 22, 2021
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu


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An Explanation of In-context Learning as Implicit Bayesian Inference


Nov 14, 2021
Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma


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Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective


Nov 05, 2021
Margalit Glasgow, Honglin Yuan, Tengyu Ma

* 47 pages. First two authors contributed equally 

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Self-supervised Learning is More Robust to Dataset Imbalance


Oct 11, 2021
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma


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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations


Aug 04, 2021
Yuping Luo, Tengyu Ma


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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers


Jul 28, 2021
Colin Wei, Yining Chen, Tengyu Ma


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Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration


Jul 12, 2021
Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon


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Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments


Jun 18, 2021
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski


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Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning


Jun 17, 2021
Colin Wei, Sang Michael Xie, Tengyu Ma


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Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss


Jun 17, 2021
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma


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Label Noise SGD Provably Prefers Flat Global Minimizers


Jun 11, 2021
Alex Damian, Tengyu Ma, Jason Lee

* 53 pages, 4 figures, under review for NeurIPS 2021 

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Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System


Jun 09, 2021
Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma

* 13 pages 

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Why Do Local Methods Solve Nonconvex Problems?


Mar 24, 2021
Tengyu Ma

* This is the Chapter 21 of the book "Beyond the Worst-Case Analysis of Algorithms" 

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Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap


Feb 09, 2021
Haike Xu, Tengyu Ma, Simon S. Du


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Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature


Feb 08, 2021
Kefan Dong, Jiaqi Yang, Tengyu Ma


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In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness


Dec 16, 2020
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang


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Meta-learning Transferable Representations with a Single Target Domain


Nov 03, 2020
Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma


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Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling


Oct 23, 2020
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

* Code available at https://github.com/wzhouad/ATLOP 

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Beyond Lazy Training for Over-parameterized Tensor Decomposition


Oct 22, 2020
Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge

* NeurIPS 2020; the first two authors contribute equally 

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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data


Oct 15, 2020
Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma


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Entity and Evidence Guided Relation Extraction for DocRED


Aug 27, 2020
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang


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