| Graphit: A high-performance graph dsl Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018 | 193* | 2018 |
| Benchmarking attribution methods with relative feature importance M Yang, B Kim Workshop on Human Centered AI at Advances in Neural Information Processing …, 2019 | 123* | 2019 |
| Representation Matters: Offline Pretraining for Sequential Decision Making M Yang, O Nachum International Conference on Machine Learning 139, 11784-11794, 2021 | 96 | 2021 |
| Multi-game decision transformers KH Lee, O Nachum, MS Yang, L Lee, D Freeman, S Guadarrama, ... Advances in Neural Information Processing Systems 35, 27921-27936, 2022 | 91 | 2022 |
| Off-policy evaluation via the regularized lagrangian M Yang, O Nachum, B Dai, L Li, D Schuurmans Advances in Neural Information Processing Systems 33, 2020 | 77 | 2020 |
| Benchmarks for Deep Off-Policy Evaluation J Fu, M Norouzi, O Nachum, G Tucker, Z Wang, A Novikov, M Yang, ... International Conference on Learning Representations, 2021 | 53 | 2021 |
| Combiner: Full Attention Transformer with Sparse Computation Cost H Ren, H Dai, Z Dai, M Yang, J Leskovec, D Schuurmans, B Dai Advances in Neural Information Processing Systems 33, 2021 | 43 | 2021 |
| Provable Representation Learning for Imitation with Contrastive Fourier Features O Nachum, M Yang Advances in Neural Information Processing Systems 34, 2021 | 32 | 2021 |
| Trail: Near-optimal imitation learning with suboptimal data M Yang, S Levine, O Nachum International Conference on Learning Representations, 2021 | 30 | 2021 |
| Foundation models for decision making: Problems, methods, and opportunities M Yang, O Nachum, Y Du, J Wei, P Abbeel, D Schuurmans arXiv preprint arXiv:2303.04129, 2023 | 29 | 2023 |
| Offline policy selection under uncertainty M Yang, B Dai, O Nachum, G Tucker, D Schuurmans International Conference on Artificial Intelligence and Statistics, 4376-4396, 2022 | 25 | 2022 |
| Offline RL for Natural Language Generation with Implicit Language Q Learning C Snell, I Kostrikov, Y Su, M Yang, S Levine International Conference on Learning Representations 2023, 2022 | 24 | 2022 |
| CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning S Verma, J Fu, M Yang, S Levine Findings of the Association for Computational Linguistics: NAACL 2022, 2022 | 22 | 2022 |
| Making linear mdps practical via contrastive representation learning T Zhang, T Ren, M Yang, J Gonzalez, D Schuurmans, B Dai International Conference on Machine Learning, 26447-26466, 2022 | 18 | 2022 |
| Learning Universal Policies via Text-Guided Video Generation Y Du*, M Yang*, B Dai, H Dai, O Nachum, J Tenenbaum, D Schuurmans, ... Advances in Neural Information Processing Systems 36, 2023 | 17* | 2023 |
| Dichotomy of control: Separating what you can control from what you cannot M Yang, D Schuurmans, P Abbeel, O Nachum International Conference on Learning Representations 2023, 2022 | 13 | 2022 |
| Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach H Jiang, B Dai, M Yang, T Zhao, W Wei Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 12 | 2021 |
| Context-Aware Language Modeling for Goal-Oriented Dialogue Systems C Snell, M Yang, J Fu, Y Su, S Levine Findings of the Association for Computational Linguistics: NAACL 2022, 2022 | 10 | 2022 |
| Energy-Based Processes for Exchangeable Data M Yang, B Dai, H Dai, D Schuurmans International Conference on Machine Learning 119, 10681-10692, 2020 | 10 | 2020 |
| Chain of thought imitation with procedure cloning M Yang, D Schuurmans, P Abbeel, O Nachum Advances in Neural Information Processing Systems 35, 36366-36381, 2022 | 6 | 2022 |
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