| Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou Advances in Neural Information Processing Systems 35, 2022 | 13000 | 2022 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, S Narang, A Chowdhery, ... arXiv preprint arXiv:2203.11171, 2022 | 3117* | 2022 |
| Least-to-most prompting enables complex reasoning in large language models D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, C Cui, ... arXiv preprint arXiv:2205.10625, 2022 | 1319 | 2022 |
| An optimistic perspective on offline reinforcement learning R Agarwal, D Schuurmans, M Norouzi International conference on machine learning, 104-114, 2020 | 750* | 2020 |
| Maximum margin clustering L Xu, J Neufeld, B Larson, D Schuurmans Advances in neural information processing systems 17, 2004 | 642 | 2004 |
| Bridging the gap between value and policy based reinforcement learning O Nachum, M Norouzi, K Xu, D Schuurmans Advances in neural information processing systems 30, 2017 | 565 | 2017 |
| What learning algorithm is in-context learning? investigations with linear models E Akyürek, D Schuurmans, J Andreas, T Ma, D Zhou arXiv preprint arXiv:2211.15661, 2022 | 483 | 2022 |
| Advances in Large-Margin Classifiers PJ Bartlett, B Schölkopf, D Schuurmans, AJ Smola MIT Press 155, 156, 2000 | 482* | 2000 |
| Learning with a Strong Adversary R Huang, B Xu, D Schuurmans, C Szepesvari https://arxiv.org/abs/1511.03034, 2015 | 464 | 2015 |
| Emergent abilities of large language models B Zoph, C Raffel, D Schuurmans, D Yogatama, D Zhou, D Metzler, EH Chi, ... | 419 | 2022 |
| Automatic Gait Optimization With Gaussian Process Regression. DJ Lizotte, T Wang, MH Bowling, D Schuurmans IJCAI 7, 944-949, 2007 | 416 | 2007 |
| Augmenting naive bayes classifiers with statistical language models F Peng, D Schuurmans, S Wang Information Retrieval 7, 317-345, 2004 | 394 | 2004 |
| Boosting in the limit: Maximizing the margin of learned ensembles AJ Grove, D Schuurmans AAAI/IAAI, 692-699, 1998 | 386 | 1998 |
| Discriminative batch mode active learning Y Guo, D Schuurmans Advances in neural information processing systems 20, 2007 | 380 | 2007 |
| On the global convergence rates of softmax policy gradient methods J Mei, C Xiao, C Szepesvari, D Schuurmans International conference on machine learning, 6820-6829, 2020 | 329 | 2020 |
| Understanding the impact of entropy on policy optimization Z Ahmed, N Le Roux, M Norouzi, D Schuurmans International conference on machine learning, 151-160, 2019 | 292 | 2019 |
| Language independent authorship attribution with character level n-grams F Peng, D Schuurmans, V Keselj, S Wang 10th Conference of the European Chapter of the Association for Computational …, 2003 | 289* | 2003 |
| Combining Naive Bayes and n-Gram Language Models for Text Classification F Peng, D Schuurmans European Conference on Information Retrieval, 335-350, 2003 | 275 | 2003 |
| Algaedice: Policy gradient from arbitrary experience O Nachum, B Dai, I Kostrikov, Y Chow, L Li, D Schuurmans arXiv preprint arXiv:1912.02074, 2019 | 272 | 2019 |
| Reward augmented maximum likelihood for neural structured prediction M Norouzi, S Bengio, N Jaitly, M Schuster, Y Wu, D Schuurmans Advances In Neural Information Processing Systems 29, 2016 | 260 | 2016 |
Bo DaiGoogle Brain & Georgia TechEmail confirmado em google.com
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Sherry YangGoogle DeepMindEmail confirmado em google.com
Jincheng MeiResearch Scientist, Google DeepMindEmail confirmado em google.comMoe ElgendiProfessor at Khalifa University, former Deputy Director and Lecturer at ETH ZurichEmail confirmado em ku.ac.ae
Linli XuUniversity of Science and Technology of ChinaEmail confirmado em ustc.edu.cn
Craig BoutilierPrincipal Scientist, GoogleEmail confirmado em google.com
Xinhua ZhangUniversity of Illinois ChicagoEmail confirmado em uic.edu
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and BiostatisticsEmail confirmado em uwo.ca
Michael BowlingAmii, University of AlbertaEmail confirmado em ualberta.ca
Xiangji Huang (Jimmy Huang)Tier 1 York Research Chair | Professor | ACM Distinguished Scientist | IEEE Fellow York UniversityEmail confirmado em yorku.ca
