Dale Schuurmans

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 169

Top Venues

CoRR

ICML

NeurIPS

ICLR

Publications

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR (2024)
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
The Role of Baselines in Policy Gradient Optimization. CoRR (2023)
Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai
Learning to Optimize with Stochastic Dominance Constraints. AISTATS (2023)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Spectral Decomposition Representation for Reinforcement Learning. ICLR (2023)
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR (2023)
Alex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. Machado
Curvature Explains Loss of Plasticity. CoRR (2023)
Zichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. NeurIPS (2023)
Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI (2023)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. ICLR (2023)
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
Ordering-based Conditions for Global Convergence of Policy Gradient Methods. NeurIPS (2023)
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
Score-based Continuous-time Discrete Diffusion Models. ICLR (2023)
Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. CoRR (2023)
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou
Self-Consistency Improves Chain of Thought Reasoning in Language Models. ICLR (2023)
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Learning Universal Policies via Text-Guided Video Generation. NeurIPS (2023)
Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
Large Language Models can Learn Rules. CoRR (2023)
Mengjiao Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
Scalable Diffusion for Materials Generation. CoRR (2023)
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
Stochastic Gradient Succeeds for Bandits. ICML (2023)
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
Probabilistic Adaptation of Text-to-Video Models. CoRR (2023)
Azade Nova, Hanjun Dai, Dale Schuurmans
Gradient-Free Structured Pruning with Unlabeled Data. ICML (2023)
Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
Discrete Langevin Samplers via Wasserstein Gradient Flow. AISTATS (2023)
Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
What learning algorithm is in-context learning? Investigations with linear models. ICLR (2023)
Haoran Sun, Bo Dai, Charles Sutton, Dale Schuurmans, Hanjun Dai
Any-scale Balanced Samplers for Discrete Space. ICLR (2023)
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. ICLR (2023)
Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai
DISCS: A Benchmark for Discrete Sampling. NeurIPS (2023)
Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Dichotomy of Control: Separating What You Can Control from What You Cannot. ICLR (2023)
Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, Pieter Abbeel, Dale Schuurmans
Foundation Models for Decision Making: Problems, Methods, and Opportunities. CoRR (2023)
Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. CoRR (2023)
Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel
Learning Universal Policies via Text-Guided Video Generation. CoRR (2023)
Azade Nova, Hanjun Dai, Dale Schuurmans
Gradient-Free Structured Pruning with Unlabeled Data. CoRR (2023)
Dale Schuurmans
Memory Augmented Large Language Models are Computationally Universal. CoRR (2023)
Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai
Revisiting Sampling for Combinatorial Optimization. ICML (2023)
Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári
The Curse of Passive Data Collection in Batch Reinforcement Learning. AISTATS (2022)
Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. CoRR (2022)
Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR (2022)
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR (2022)
Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
A Simple Decentralized Cross-Entropy Method. NeurIPS (2022)
Haoran Sun, Hanjun Dai, Dale Schuurmans
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. CoRR (2022)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD (2022)
Haoran Sun, Hanjun Dai, Dale Schuurmans
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. NeurIPS (2022)
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
The Role of Baselines in Policy Gradient Optimization. NeurIPS (2022)
Hanjun Dai, Mengjiao Yang, Yuan Xue, Dale Schuurmans, Bo Dai
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization. ICML (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Making Linear MDPs Practical via Contrastive Representation Learning. CoRR (2022)
Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
A Simple Decentralized Cross-Entropy Method. CoRR (2022)
Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
What learning algorithm is in-context learning? Investigations with linear models. CoRR (2022)
Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans
Understanding and Leveraging Overparameterization in Recursive Value Estimation. ICLR (2022)
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
Rationale-Augmented Ensembles in Language Models. CoRR (2022)
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, Denny Zhou
Chain of Thought Prompting Elicits Reasoning in Large Language Models. CoRR (2022)
Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML (2022)
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
Score-based Continuous-time Discrete Diffusion Models. CoRR (2022)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Spectral Decomposition Representation for Reinforcement Learning. CoRR (2022)
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS (2022)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. CoRR (2022)
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. CoRR (2022)
Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
Neural Stochastic Dual Dynamic Programming. ICLR (2022)
Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Chain of Thought Imitation with Procedure Cloning. CoRR (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS (2022)
Alex Lewandowski, Calarina Muslimani, Matthew E. Taylor, Jun Luo, Dale Schuurmans
Reinforcement Teaching. CoRR (2022)
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
Self-Consistency Improves Chain of Thought Reasoning in Language Models. CoRR (2022)
Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai
Learning to Optimize with Stochastic Dominance Constraints. CoRR (2022)
Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Chain of Thought Imitation with Procedure Cloning. NeurIPS (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
Making Linear MDPs Practical via Contrastive Representation Learning. ICML (2022)
Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans
Offline Policy Selection under Uncertainty. AISTATS (2022)
Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Dichotomy of Control: Separating What You Can Control from What You Cannot. CoRR (2022)
Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
Discrete Langevin Sampler via Wasserstein Gradient Flow. CoRR (2022)
Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML (2021)
Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvári, Dale Schuurmans
On the Optimality of Batch Policy Optimization Algorithms. ICML (2021)
Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
Combiner: Full Attention Transformer with Sparse Computation Cost. CoRR (2021)
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. ICML (2021)
Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR (2021)
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
Understanding the Effect of Stochasticity in Policy Optimization. CoRR (2021)
Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust
Joint Attention for Multi-Agent Coordination and Social Learning. CoRR (2021)
Mahdi Karami, Dale Schuurmans
Deep Probabilistic Canonical Correlation Analysis. AAAI (2021)
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
Leveraging Non-uniformity in First-order Non-convex Optimization. CoRR (2021)
Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR (2021)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML (2021)
Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
Neural Stochastic Dual Dynamic Programming. CoRR (2021)
Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
Combiner: Full Attention Transformer with Sparse Computation Cost. NeurIPS (2021)
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
Leveraging Non-uniformity in First-order Non-convex Optimization. ICML (2021)
Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári
On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data. CoRR (2021)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. CoRR (2021)
Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvári, Dale Schuurmans
On the Optimality of Batch Policy Optimization Algorithms. CoRR (2021)
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
Understanding the Effect of Stochasticity in Policy Optimization. NeurIPS (2021)
Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans
Off-Policy Evaluation via the Regularized Lagrangian. NeurIPS (2020)
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
On the Global Convergence Rates of Softmax Policy Gradient Methods. CoRR (2020)
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. CoRR (2020)
Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
Energy-Based Processes for Exchangeable Data. CoRR (2020)
Mahdi Karami, Dale Schuurmans
Variational Inference for Deep Probabilistic Canonical Correlation Analysis. CoRR (2020)
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
On the Global Convergence Rates of Softmax Policy Gradient Methods. ICML (2020)
Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML (2020)
Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans
Scalable Deep Generative Modeling for Sparse Graphs. ICML (2020)
Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
Energy-Based Processes for Exchangeable Data. ICML (2020)
Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans
GenDICE: Generalized Offline Estimation of Stationary Values. ICLR (2020)
Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans
Offline Policy Selection under Uncertainty. CoRR (2020)
Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans
Off-Policy Evaluation via the Regularized Lagrangian. CoRR (2020)
Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. CoRR (2020)
Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi
An Optimistic Perspective on Offline Reinforcement Learning. ICML (2020)
Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans
CoinDICE: Off-Policy Confidence Interval Estimation. NeurIPS (2020)
Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR (2020)
Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut
Attention that does not Explain Away. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dale Schuurmans