Dale Schuurmans

367 papers A* 115A 27B 7C 4Misc 4Journal 142Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. Trans. Mach. Learn. Res. Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2026	J	`jnl`	Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning. CoRR Bo Dai, Na Li, Dale Schuurmans
2026	J	`jnl`	Universal computation is intrinsic to language model decoding. CoRR Alex Lewandowski, Marlos C. Machado, Dale Schuurmans
2025	J	`jnl`	Evolving Deeper LLM Thinking. CoRR Kuang-Huei Lee, Ian Fischer, Yueh-Hua Wu, Dave Marwood, Shumeet Baluja, Dale Schuurmans, Xinyun Chen
2025	A	`conf`	Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. AISTATS Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2025	A*	`conf`	Improving Large Language Model Planning with Action Sequence Similarity. ICLR Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nova
2025	J	`jnl`	Improving Large Language Model Planning with Action Sequence Similarity. CoRR Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nova
2025	J	`jnl`	Judging with Confidence: Calibrating Autoraters to Preference Distributions. CoRR Zhuohang Li, Xiaowei Li, Chengyu Huang, Guowang Li, Katayoon Goshvadi, Bo Dai, Dale Schuurmans, Paul Zhou, Hamid Palangi, Yiwen Song, Palash Goyal, Murat Kantarcioglu, Bradley A. Malin, Yuan Xue
2025	A*	`conf`	Learning Continually by Spectral Regularization. ICLR Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado
2025	J	`jnl`	Learning to Reason Efficiently with Discounted Reinforcement Learning. CoRR Alex Ayoub, Kavosh Asadi, Dale Schuurmans, Csaba Szepesvári, Karim Bouyarmane
2025	J	`jnl`	Ordering-based Conditions for Global Convergence of Policy Gradient Methods. CoRR Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
2025	A*	`conf`	Plastic Learning with Deep Fourier Features. ICLR Alex Lewandowski, Dale Schuurmans, Marlos C. Machado
2025	J	`jnl`	Rectifying Regression in Reinforcement Learning. CoRR Alex Ayoub, David Szepesvari, Alireza Baktiari, Csaba Szepesvári, Dale Schuurmans
2025	J	`jnl`	Representation Learning via Non-Contrastive Mutual Information. CoRR Zhaohan Daniel Guo, Bernardo Ávila Pires, Khimya Khetarpal, Dale Schuurmans, Bo Dai
2025	J	`jnl`	Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation. CoRR Max Qiushi Lin, Jincheng Mei, Matin Aghaei, Michael Lu, Bo Dai, Alekh Agarwal, Dale Schuurmans, Csaba Szepesvári, Sharan Vaswani
2025	A*	`conf`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. ICML Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. CoRR Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates. CoRR Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans
2025	J	`jnl`	Spectral Representation-based Reinforcement Learning. CoRR Chenxiao Gao, Haotian Sun, Na Li, Dale Schuurmans, Bo Dai
2025	J	`jnl`	The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis. CoRR Alex Lewandowski, Adtiya A. Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado
2025	A*	`conf`	Toward Understanding In-context vs. In-weight Learning. ICLR Bryan Chan, Xinyi Chen, András György, Dale Schuurmans
2025	A*	`conf`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. ICLR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Autoregressive Large Language Models are Computationally Universal. CoRR Dale Schuurmans, Hanjun Dai, Francesco Zanini
2024	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Exploring and Benchmarking the Planning Capabilities of Large Language Models. CoRR Bernd Bohnet, Azade Nova, Aaron T. Parisi, Kevin Swersky, Katayoon Goshvadi, Hanjun Dai, Dale Schuurmans, Noah Fiedel, Hanie Sedghi
2024	J	`jnl`	Faster WIND: Accelerating Iterative Best-of- CoRR Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	A*	`conf`	Generative Hierarchical Materials Search. NeurIPS Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo Jimenez Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2024	J	`jnl`	Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback. CoRR Hiroki Furuta, Heiga Zen, Dale Schuurmans, Aleksandra Faust, Yutaka Matsuo, Percy Liang, Sherry Yang
2024	J	`jnl`	Learning Continually by Spectral Regularization. CoRR Alex Lewandowski, Saurabh Kumar, Dale Schuurmans, András György, Marlos C. Machado
2024	A*	`conf`	Learning Interactive Real-World Simulators. ICLR Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
2024	J	`jnl`	Mitigating the Curse of Horizon in Monte-Carlo Returns. RLJ Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans
2024	J	`jnl`	Plastic Learning with Deep Fourier Features. CoRR Alex Lewandowski, Dale Schuurmans, Marlos C. Machado
2024	A*	`conf`	Position: Video as the New Language for Real-World Decision Making. ICML Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, André Barreto, Pieter Abbeel, Dale Schuurmans
2024	A*	`conf`	Probabilistic Adaptation of Black-Box Text-to-Video Models. ICLR Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
2024	A*	`conf`	Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. ICML Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
2024	A*	`conf`	Scalable Diffusion for Materials Generation. ICLR Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	A*	`conf`	Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates. NeurIPS Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans
2024	J	`jnl`	Soft Preference Optimization: Aligning Language Models to Expert Distributions. CoRR Arsalan Sharifnassab, Sina Ghiassian, Saber Salehkaleybar, Surya Kanoria, Dale Schuurmans
2024	J	`jnl`	Stochastic Gradient Succeeds for Bandits. CoRR Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2024	A*	`conf`	Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. ICML Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans
2024	J	`jnl`	Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. CoRR Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans
2024	J	`jnl`	Toward Understanding In-context vs. In-weight Learning. CoRR Bryan Chan, Xinyi Chen, András György, Dale Schuurmans
2024	A*	`conf`	UQE: A Query Engine for Unstructured Databases. NeurIPS Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
2024	J	`jnl`	UQE: A Query Engine for Unstructured Databases. CoRR Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
2024	J	`jnl`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Video as the New Language for Real-World Decision Making. CoRR Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, André Barreto, Pieter Abbeel, Dale Schuurmans
2023	A*	`conf`	Any-scale Balanced Samplers for Discrete Space. ICLR Haoran Sun, Bo Dai, Charles Sutton, Dale Schuurmans, Hanjun Dai
2023	J	`jnl`	Curvature Explains Loss of Plasticity. CoRR Alex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. Machado
2023	A*	`conf`	DISCS: A Benchmark for Discrete Sampling. NeurIPS Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai
2023	A*	`conf`	Dichotomy of Control: Separating What You Can Control from What You Cannot. ICLR Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
2023	A	`conf`	Discrete Langevin Samplers via Wasserstein Gradient Flow. AISTATS Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
2023	A	`conf`	Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	J	`jnl`	Foundation Models for Decision Making: Problems, Methods, and Opportunities. CoRR Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, Pieter Abbeel, Dale Schuurmans
2023	A*	`conf`	Gradient-Free Structured Pruning with Unlabeled Data. ICML Azade Nova, Hanjun Dai, Dale Schuurmans
2023	J	`jnl`	Gradient-Free Structured Pruning with Unlabeled Data. CoRR Azade Nova, Hanjun Dai, Dale Schuurmans
2023	J	`jnl`	Large Language Models can Learn Rules. CoRR Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
2023	A*	`conf`	Latent Variable Representation for Reinforcement Learning. ICLR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2023	J	`jnl`	Learning Interactive Real-World Simulators. CoRR Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
2023	A*	`conf`	Learning Universal Policies via Text-Guided Video Generation. NeurIPS Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
2023	J	`jnl`	Learning Universal Policies via Text-Guided Video Generation. CoRR Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel
2023	A	`conf`	Learning to Optimize with Stochastic Dominance Constraints. AISTATS Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai
2023	A*	`conf`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. ICLR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2023	A*	`conf`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. NeurIPS Zichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2023	J	`jnl`	Memory Augmented Large Language Models are Computationally Universal. CoRR Dale Schuurmans
2023	A*	`conf`	Ordering-based Conditions for Global Convergence of Policy Gradient Methods. NeurIPS Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
2023	J	`jnl`	Probabilistic Adaptation of Text-to-Video Models. CoRR Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
2023	J	`jnl`	Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. CoRR Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
2023	J	`jnl`	Reinforcement Teaching. Trans. Mach. Learn. Res. Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo
2023	A*	`conf`	Revisiting Sampling for Combinatorial Optimization. ICML Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai
2023	J	`jnl`	Scalable Diffusion for Materials Generation. CoRR Mengjiao Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2023	A*	`conf`	Score-based Continuous-time Discrete Diffusion Models. ICLR Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
2023	A*	`conf`	Self-Consistency Improves Chain of Thought Reasoning in Language Models. ICLR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou
2023	A*	`conf`	Spectral Decomposition Representation for Reinforcement Learning. ICLR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	A*	`conf`	Stochastic Gradient Succeeds for Bandits. ICML Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2023	A*	`conf`	TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
2023	J	`jnl`	The Role of Baselines in Policy Gradient Optimization. CoRR Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2023	A*	`conf`	What learning algorithm is in-context learning? Investigations with linear models. ICLR Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
2022	A*	`conf`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2022	J	`jnl`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2022	A*	`conf`	A Simple Decentralized Cross-Entropy Method. NeurIPS Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	J	`jnl`	A Simple Decentralized Cross-Entropy Method. CoRR Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	A*	`conf`	Chain of Thought Imitation with Procedure Cloning. NeurIPS Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
2022	J	`jnl`	Chain of Thought Imitation with Procedure Cloning. CoRR Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
2022	J	`jnl`	Chain of Thought Prompting Elicits Reasoning in Large Language Models. CoRR Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, Denny Zhou
2022	A*	`conf`	Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
2022	J	`jnl`	Dichotomy of Control: Separating What You Can Control from What You Cannot. CoRR Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
2022	J	`jnl`	Discrete Langevin Sampler via Wasserstein Gradient Flow. CoRR Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
2022	J	`jnl`	Latent Variable Representation for Reinforcement Learning. CoRR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Learning to Optimize with Stochastic Dominance Constraints. CoRR Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. CoRR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi
2022	A*	`conf`	Making Linear MDPs Practical via Contrastive Representation Learning. ICML Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Making Linear MDPs Practical via Contrastive Representation Learning. CoRR Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. CoRR Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2022	A*	`conf`	Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization. ICML Hanjun Dai, Mengjiao Yang, Yuan Xue, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Neural Stochastic Dual Dynamic Programming. ICLR Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
2022	A	`conf`	Offline Policy Selection under Uncertainty. AISTATS Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans
2022	J	`jnl`	On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	A*	`conf`	On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	A*	`conf`	Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. NeurIPS Haoran Sun, Hanjun Dai, Dale Schuurmans
2022	J	`jnl`	Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. CoRR Haoran Sun, Hanjun Dai, Dale Schuurmans
2022	J	`jnl`	Rationale-Augmented Ensembles in Language Models. CoRR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
2022	J	`jnl`	Reinforcement Teaching. CoRR Alex Lewandowski, Calarina Muslimani, Matthew E. Taylor, Jun Luo, Dale Schuurmans
2022	A*	`conf`	SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
2022	J	`jnl`	Score-based Continuous-time Discrete Diffusion Models. CoRR Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
2022	J	`jnl`	Self-Consistency Improves Chain of Thought Reasoning in Language Models. CoRR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
2022	J	`jnl`	Spectral Decomposition Representation for Reinforcement Learning. CoRR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
2022	A	`conf`	The Curse of Passive Data Collection in Batch Reinforcement Learning. AISTATS Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári
2022	A*	`conf`	The Role of Baselines in Policy Gradient Optimization. NeurIPS Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2022	A*	`conf`	Understanding and Leveraging Overparameterization in Recursive Value Estimation. ICLR Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans
2022	J	`jnl`	What learning algorithm is in-context learning? Investigations with linear models. CoRR Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
2021	A*	`conf`	Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2021	J	`jnl`	Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2021	A*	`conf`	Combiner: Full Attention Transformer with Sparse Computation Cost. NeurIPS Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
2021	J	`jnl`	Combiner: Full Attention Transformer with Sparse Computation Cost. CoRR Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
2021	A*	`conf`	Deep Probabilistic Canonical Correlation Analysis. AAAI Mahdi Karami, Dale Schuurmans
2021	A*	`conf`	EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. ICML Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
2021	J	`jnl`	Joint Attention for Multi-Agent Coordination and Social Learning. CoRR Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust
2021	A*	`conf`	LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou
2021	A*	`conf`	Leveraging Non-uniformity in First-order Non-convex Optimization. ICML Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2021	J	`jnl`	Leveraging Non-uniformity in First-order Non-convex Optimization. CoRR Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2021	J	`jnl`	Neural Stochastic Dual Dynamic Programming. CoRR Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
2021	A*	`conf`	On the Optimality of Batch Policy Optimization Algorithms. ICML Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2021	J	`jnl`	On the Optimality of Batch Policy Optimization Algorithms. CoRR Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2021	J	`jnl`	On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data. CoRR Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári
2021	J	`jnl`	Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
2021	J	`jnl`	SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. CoRR Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
2021	A*	`conf`	Understanding the Effect of Stochasticity in Policy Optimization. NeurIPS Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2021	J	`jnl`	Understanding the Effect of Stochasticity in Policy Optimization. CoRR Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2020	A*	`conf`	A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	A*	`conf`	An Optimistic Perspective on Offline Reinforcement Learning. ICML Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi
2020	J	`jnl`	Attention that does not Explain Away. CoRR Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut
2020	A*	`conf`	Batch Stationary Distribution Estimation. ICML Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
2020	J	`jnl`	Batch Stationary Distribution Estimation. CoRR Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
2020	A*	`conf`	CoinDICE: Off-Policy Confidence Interval Estimation. NeurIPS Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2020	J	`jnl`	CoinDICE: Off-Policy Confidence Interval Estimation. CoRR Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2020	A*	`conf`	ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
2020	J	`jnl`	ConQUR: Mitigating Delusional Bias in Deep Q-learning. CoRR Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
2020	A*	`conf`	Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML Junfeng Wen, Russell Greiner, Dale Schuurmans
2020	J	`jnl`	EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. CoRR Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
2020	A*	`conf`	Energy-Based Processes for Exchangeable Data. ICML Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
2020	J	`jnl`	Energy-Based Processes for Exchangeable Data. CoRR Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
2020	A*	`conf`	Escaping the Gravitational Pull of Softmax. NeurIPS Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2020	A*	`conf`	GenDICE: Generalized Offline Estimation of Stationary Values. ICLR Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans
2020	J	`jnl`	GenDICE: Generalized Offline Estimation of Stationary Values. CoRR Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans
2020	A*	`conf`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. ICML Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	J	`jnl`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. CoRR Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	A*	`conf`	Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. NeurIPS Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans
2020	J	`jnl`	Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. CoRR Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans
2020	A*	`conf`	Off-Policy Evaluation via the Regularized Lagrangian. NeurIPS Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans
2020	J	`jnl`	Off-Policy Evaluation via the Regularized Lagrangian. CoRR Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans
2020	J	`jnl`	Offline Policy Selection under Uncertainty. CoRR Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans
2020	A*	`conf`	On the Global Convergence Rates of Softmax Policy Gradient Methods. ICML Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2020	J	`jnl`	On the Global Convergence Rates of Softmax Policy Gradient Methods. CoRR Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2020	A*	`conf`	Scalable Deep Generative Modeling for Sparse Graphs. ICML Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans
2020	J	`jnl`	Scalable Deep Generative Modeling for Sparse Graphs. CoRR Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans
2020	J	`jnl`	Variational Inference for Deep Probabilistic Canonical Correlation Analysis. CoRR Mahdi Karami, Dale Schuurmans
2019	A*	`conf`	A Geometric Perspective on Optimal Representations for Reinforcement Learning. NeurIPS Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle
2019	J	`jnl`	A Geometric Perspective on Optimal Representations for Reinforcement Learning. CoRR Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle
2019	A*	`conf`	Advantage Amplification in Slowly Evolving Latent-State Environments. IJCAI Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier
2019	J	`jnl`	Advantage Amplification in Slowly Evolving Latent-State Environments. CoRR Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier
2019	J	`jnl`	AlgaeDICE: Policy Gradient from Arbitrary Experience. CoRR Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans
2019	J	`jnl`	Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR Junfeng Wen, Russell Greiner, Dale Schuurmans
2019	A*	`conf`	Exponential Family Estimation via Adversarial Dynamics Embedding. NeurIPS Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	J	`jnl`	Exponential Family Estimation via Adversarial Dynamics Embedding. CoRR Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	A*	`conf`	Invertible Convolutional Flow. NeurIPS Mahdi Karami, Dale Schuurmans, Jascha Sohl-Dickstein, Laurent Dinh, Daniel Duckworth
2019	A	`conf`	Kernel Exponential Family Estimation via Doubly Dual Embedding. AISTATS Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He
2019	J	`jnl`	Learning to Combat Compounding-Error in Model-Based Reinforcement Learning. CoRR Chenjun Xiao, Yifan Wu, Chen Ma, Dale Schuurmans, Martin Müller
2019	A*	`conf`	Learning to Generalize from Sparse and Underspecified Rewards. ICML Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi
2019	J	`jnl`	Learning to Generalize from Sparse and Underspecified Rewards. CoRR Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi
2019	A*	`conf`	Maximum Entropy Monte-Carlo Planning. NeurIPS Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller
2019	A*	`conf`	On Principled Entropy Exploration in Policy Optimization. IJCAI Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
2019	J	`jnl`	Striving for Simplicity in Off-policy Deep Reinforcement Learning. CoRR Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi
2019	A*	`conf`	Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. NeurIPS Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans
2019	A*	`conf`	The Value Function Polytope in Reinforcement Learning. ICML Robert Dadashi, Marc G. Bellemare, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans
2019	J	`jnl`	The Value Function Polytope in Reinforcement Learning. CoRR Robert Dadashi, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans, Marc G. Bellemare
2019	A*	`conf`	Understanding the Impact of Entropy on Policy Optimization. ICML Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans
2018	J	`jnl`	Kernel Exponential Family Estimation via Doubly Dual Embedding. CoRR Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He
2018	A*	`conf`	Non-delusional Q-learning and value-iteration. NeurIPS Tyler Lu, Dale Schuurmans, Craig Boutilier
2018	A*	`conf`	Planning and Learning with Stochastic Action Sets. IJCAI Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	J	`jnl`	Planning and Learning with Stochastic Action Sets. CoRR Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	A*	`conf`	Smoothed Action Value Functions for Learning Gaussian Policies. ICML Ofir Nachum, Mohammad Norouzi, George Tucker, Dale Schuurmans
2018	J	`jnl`	Smoothed Action Value Functions for Learning Gaussian Policies. CoRR Ofir Nachum, Mohammad Norouzi, George Tucker, Dale Schuurmans
2018	—	`conf`	Trust-PCL: An Off-Policy Trust Region Method for Continuous Control. ICLR (Poster) Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2018	J	`jnl`	Understanding the impact of entropy on policy optimization. CoRR Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans
2018	A	`conf`	Variational Rejection Sampling. AISTATS Aditya Grover, Ramki Gummadi, Miguel Lázaro-Gredilla, Dale Schuurmans, Stefano Ermon
2018	J	`jnl`	Variational Rejection Sampling. CoRR Aditya Grover, Ramki Gummadi, Miguel Lázaro-Gredilla, Dale Schuurmans, Stefano Ermon
2017	—	`conf`	Bridging the Gap Between Value and Policy Based Reinforcement Learning. NIPS Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017	J	`jnl`	Bridging the Gap Between Value and Policy Based Reinforcement Learning. CoRR Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017	—	`conf`	Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks. AAAI Workshops Martin A. Zinkevich, Dale Schuurmans
2017	J	`jnl`	Generalized Conditional Gradient for Sparse Estimation. J. Mach. Learn. Res. Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2017	A	`conf`	Holographic Feature Representations of Deep Networks. UAI Martin A. Zinkevich, Alex Davies, Dale Schuurmans
2017	—	`conf`	Improving Policy Gradient by Exploring Under-appreciated Rewards. ICLR (Poster) Ofir Nachum, Mohammad Norouzi, Dale Schuurmans
2017	A*	`conf`	Logistic Markov Decision Processes. IJCAI Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu
2017	—	`conf`	Multi-view Matrix Factorization for Linear Dynamical System Estimation. NIPS Mahdi Karami, Martha White, Dale Schuurmans, Csaba Szepesvári
2017	J	`jnl`	Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans
2017	J	`jnl`	Trust-PCL: An Off-Policy Trust Region Method for Continuous Control. CoRR Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2016	—	`conf`	Deep Learning Games. NIPS Dale Schuurmans, Martin Zinkevich
2016	J	`jnl`	Improving Policy Gradient by Exploring Under-appreciated Rewards. CoRR Ofir Nachum, Mohammad Norouzi, Dale Schuurmans
2016	A*	`ed.`	Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. AAAI Dale Schuurmans, Michael P. Wellman
2016	—	`conf`	Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
2016	J	`jnl`	Reward Augmented Maximum Likelihood for Neural Structured Prediction. CoRR Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans
2016	A	`conf`	Scalable and Sound Low-Rank Tensor Learning. AISTATS Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans
2016	A	`conf`	Stochastic Neural Networks with Monotonic Activation Functions. AISTATS Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
2016	J	`jnl`	Stochastic Neural Networks with Monotonic Activation Functions. CoRR Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
2015	A*	`conf`	Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI Junfeng Wen, Russell Greiner, Dale Schuurmans
2015	—	`conf`	Embedding Inference for Structured Multilabel Prediction. NIPS Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans
2015	J	`jnl`	Frequency analysis of photoplethysmogram and its derivatives. Comput. Methods Programs Biomed. Mohamed Elgendi, Richard Ribón Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel H. Lovell, Dale Schuurmans
2015	—	`conf`	Generalization in Unsupervised Learning. ECML/PKDD (1) Karim T. Abou-Moustafa, Dale Schuurmans
2015	J	`jnl`	Learning with a Strong Adversary. CoRR Ruitong Huang, Bing Xu, Dale Schuurmans, Csaba Szepesvári
2015	J	`jnl`	On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress. Sensors Mohamed Elgendi, Rich Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel H. Lovell, Dale Schuurmans
2015	A*	`conf`	Optimal Estimation of Multivariate ARMA Models. AAAI Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
2015	—	`conf`	Scalable Metric Learning for Co-Embedding. ECML/PKDD (1) Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans
2015	A*	`conf`	Semi-Supervised Zero-Shot Classification with Label Representation Learning. ICCV Xin Li, Yuhong Guo, Dale Schuurmans
2015	A	`conf`	Variance Reduction via Antithetic Markov Chains. AISTATS James Neufeld, Dale Schuurmans, Michael H. Bowling
2014	A*	`conf`	Adaptive Monte Carlo via Bandit Allocation. ICML James Neufeld, András György, Csaba Szepesvári, Dale Schuurmans
2014	J	`jnl`	Adaptive Monte Carlo via Bandit Allocation. CoRR James Neufeld, András György, Dale Schuurmans, Csaba Szepesvári
2014	A*	`conf`	Convex Co-embedding. AAAI Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans
2014	—	`conf`	Convex Deep Learning via Normalized Kernels. NIPS Özlem Aslan, Xinhua Zhang, Dale Schuurmans
2014	J	`jnl`	Generalized Conditional Gradient for Sparse Estimation. CoRR Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2013	—	`conf`	Characterizing the Representer Theorem. ICML (1) Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvári
2013	A	`conf`	Convex Relaxations of Bregman Divergence Clustering. UAI Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	J	`jnl`	Convex Relaxations of Bregman Divergence Clustering. CoRR Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	—	`conf`	Convex Two-Layer Modeling. NIPS Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	—	`conf`	Divergence based graph estimation for manifold learning. GlobalSIP Karim T. Abou-Moustafa, Frank P. Ferrie, Dale Schuurmans
2013	J	`jnl`	Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. Comput. Intell. Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
2013	J	`jnl`	Learning Bayesian Nets that Perform Well CoRR Russell Greiner, Adam J. Grove, Dale Schuurmans
2013	C	`conf`	Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning. ACML Karim T. Abou-Moustafa, Dale Schuurmans, Frank P. Ferrie
2013	J	`jnl`	Monte Carlo Inference via Greedy Importance Sampling CoRR Dale Schuurmans, Finnegan Southey
2013	—	`conf`	Multi-label Classification with Output Kernels. ECML/PKDD (2) Yuhong Guo, Dale Schuurmans
2013	—	`conf`	Polar Operators for Structured Sparse Estimation. NIPS Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
2013	Misc	`conf`	Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM. Pacific Symposium on Biocomputing Yi Shi, Xinhua Zhang, Xiaoping Liao, Guohui Lin, Dale Schuurmans
2013	J	`jnl`	Reinforcement Ranking CoRR Hengshuai Yao, Dale Schuurmans
2012	—	`conf`	A Polynomial-time Form of Robust Regression. NIPS Yaoliang Yu, Özlem Aslan, Dale Schuurmans
2012	—	`conf`	Accelerated Training for Matrix-norm Regularization: A Boosting Approach. NIPS Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
2012	J	`jnl`	An efficient algorithm for maximal margin clustering. J. Glob. Optim. Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2012	J	`jnl`	An experimental methodology for response surface optimization methods. J. Glob. Optim. Daniel J. Lizotte, Russell Greiner, Dale Schuurmans
2012	J	`jnl`	Boltzmann Machine Learning with the Latent Maximum Entropy Principle CoRR Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2012	—	`conf`	Convex Multi-view Subspace Learning. NIPS Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2012	J	`jnl`	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. CoRR Yuhong Guo, Dale Schuurmans
2012	A	`conf`	Generalized Optimal Reverse Prediction. AISTATS Martha White, Dale Schuurmans
2012	J	`jnl`	Linear Coherent Bi-Clustering via Beam Searching and Sample Set Clustering. Discret. Math. Algorithms Appl. Yi Shi, Maryam Hasan, Zhipeng Cai, Guohui Lin, Dale Schuurmans
2012	J	`jnl`	Maximum Margin Bayesian Networks CoRR Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans
2012	J	`jnl`	Monte Carlo Matrix Inversion Policy Evaluation CoRR Fletcher Lu, Dale Schuurmans
2012	J	`jnl`	Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering CoRR Yaoliang Yu, Dale Schuurmans
2012	A*	`conf`	Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. ICML James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans
2012	—	`conf`	Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. ECML/PKDD (2) Yuhong Guo, Dale Schuurmans
2012	C	`conf`	Sparse Learning Based Linear Coherent Bi-clustering. WABI Yi Shi, Xiaoping Liao, Xinhua Zhang, Guohui Lin, Dale Schuurmans
2012	J	`jnl`	The Latent Maximum Entropy Principle. ACM Trans. Knowl. Discov. Data Shaojun Wang, Dale Schuurmans, Yunxin Zhao
2011	A*	`conf`	Adaptive Large Margin Training for Multilabel Classification. AAAI Yuhong Guo, Dale Schuurmans
2011	A*	`conf`	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans
2011	—	`conf`	MapReduce for Parallel Reinforcement Learning. EWRL Yuxi Li, Dale Schuurmans
2011	A*	`conf`	Modular Community Detection in Networks. IJCAI Wenye Li, Dale Schuurmans
2011	A	`conf`	Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering. UAI Yaoliang Yu, Dale Schuurmans
2011	J	`jnl`	Real-Time Discriminative Background Subtraction. IEEE Trans. Image Process. Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli
2010	—	`conf`	Distributed Flow Algorithms for Scalable Similarity Visualization. ICDM Workshops Novi Quadrianto, Dale Schuurmans, Alexander J. Smola
2010	B	`conf`	Improved Natural Language Learning via Variance-Regularization Support Vector Machines. CoNLL Shane Bergsma, Dekang Lin, Dale Schuurmans
2010	—	`conf`	Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering. COCOA (1) Yi Shi, Maryam Hasan, Zhipeng Cai, Guohui Lin, Dale Schuurmans
2010	—	`conf`	Relaxed Clipping: A Global Training Method for Robust Regression and Classification. NIPS Yaoliang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans
2010	—	`ch.`	Strictly Lexicalised Dependency Parsing. Trends in Parsing Technology Qin Iris Wang, Dale Schuurmans, Dekang Lin
2009	—	`conf`	A General Projection Property for Distribution Families. NIPS Yaoliang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvári
2009	C	`conf`	A Reformulation of Support Vector Machines for General Confidence Functions. ACML Yuhong Guo, Dale Schuurmans
2009	—	`ed.`	Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 NIPS Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou
2009	—	`ed.`	Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. NIPS Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta
2009	—	`conf`	Convex Relaxation of Mixture Regression with Efficient Algorithms. NIPS Novi Quadrianto, Tibério S. Caetano, John Lim, Dale Schuurmans
2009	Misc	`conf`	Discriminative Maximum Margin Image Object Categorization with Exact Inference. ICIG Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans
2009	A	`conf`	Dual Temporal Difference Learning. AISTATS Min Yang, Yuxi Li, Dale Schuurmans
2009	A*	`conf`	Fast normalized cut with linear constraints. CVPR Linli Xu, Wenye Li, Dale Schuurmans
2009	—	`conf`	Inference of the structural credit risk model using MLE. CIFEr Yuxi Li, Li Cheng, Dale Schuurmans
2009	A	`conf`	Learning Exercise Policies for American Options. AISTATS Yuxi Li, Csaba Szepesvári, Dale Schuurmans
2009	C	`conf`	Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting. COCOA Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans
2009	A*	`conf`	Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. ICML Linli Xu, Martha White, Dale Schuurmans
2008	—	`conf`	Efficient global optimization for exponential family PCA and low-rank matrix factorization. Allerton Yuhong Guo, Dale Schuurmans
2008	—	`conf`	Policy Iteration for Learning an Exercise Policy for American Options. EWRL Yuxi Li, Dale Schuurmans
2008	A*	`conf`	Semi-Supervised Convex Training for Dependency Parsing. ACL Qin Iris Wang, Dale Schuurmans, Dekang Lin
2007	A*	`conf`	Automatic Gait Optimization with Gaussian Process Regression. IJCAI Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
2007	—	`conf`	Convex Relaxations of Latent Variable Training. NIPS Yuhong Guo, Dale Schuurmans
2007	—	`conf`	Discriminative Batch Mode Active Learning. NIPS Yuhong Guo, Dale Schuurmans
2007	—	`conf`	Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. RECOMB-CG Yuhong Guo, Dale Schuurmans
2007	A*	`conf`	Simple Training of Dependency Parsers via Structured Boosting. IJCAI Qin Iris Wang, Dekang Lin, Dale Schuurmans
2007	—	`conf`	Stable Dual Dynamic Programming. NIPS Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2006	B	`conf`	An Online Discriminative Approach to Background Subtraction. AVSS Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan
2006	A*	`conf`	Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. AAAI Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans
2006	J	`jnl`	Constraint-based optimization and utility elicitation using the minimax decision criterion. Artif. Intell. Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2006	A	`conf`	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. UAI Yuhong Guo, Dale Schuurmans
2006	A*	`conf`	Discriminative unsupervised learning of structured predictors. ICML Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans
2006	J	`jnl`	Graphical Models and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. Tibério S. Caetano, Terry Caelli, Dale Schuurmans, Dante Augusto Couto Barone
2006	B	`conf`	Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization. CoNLL Qin Iris Wang, Colin Cherry, Daniel J. Lizotte, Dale Schuurmans
2006	—	`conf`	Information Marginalization on Subgraphs. PKDD Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans
2006	—	`conf`	Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. NIPS Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
2006	—	`ch.`	Metric-Based Approaches for Semi-Supervised Regression and Classification. Semi-Supervised Learning Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo
2006	A*	`conf`	Robust Support Vector Machine Training via Convex Outlier Ablation. AAAI Linli Xu, Koby Crammer, Dale Schuurmans
2006	A*	`conf`	Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. ACL Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans
2006	—	`conf`	Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. ICGI Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
2006	—	`conf`	Web Communities Identification from Random Walks. PKDD Jiayuan Huang, Tingshao Zhu, Dale Schuurmans
2006	—	`conf`	implicit Online Learning with Kernels. NIPS Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli
2005	A*	`conf`	Bayesian sparse sampling for on-line reward optimization. ICML Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2005	J	`jnl`	Combining Statistical Language Models via the Latent Maximum Entropy Principle. Mach. Learn. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2005	A*	`conf`	Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ICML Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
2005	A*	`conf`	Learning Coordination Classifiers. IJCAI Yuhong Guo, Russell Greiner, Dale Schuurmans
2005	A	`conf`	Maximum Margin Bayesian Networks. UAI Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans
2005	A*	`conf`	Regret-based Utility Elicitation in Constraint-based Decision Problems. IJCAI Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2005	—	`conf`	Strictly Lexical Dependency Parsing. IWPT Qin Iris Wang, Dale Schuurmans, Dekang Lin
2005	—	`conf`	Tangent-Corrected Embedding. CVPR (1) Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans
2005	A*	`conf`	Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. AAAI Linli Xu, Dale Schuurmans
2005	A*	`conf`	Variational Bayesian image modelling. ICML Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
2004	J	`jnl`	Augmenting Naive Bayes Classifiers with Statistical Language Models. Inf. Retr. Fuchun Peng, Dale Schuurmans, Shaojun Wang
2004	J	`jnl`	Dynamic Web log session identification with statistical language models. J. Assoc. Inf. Sci. Technol. Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans
2004	—	`conf`	Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ISCSLP Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
2004	J	`jnl`	Learning mixture models with the regularized latent maximum entropy principle. IEEE Trans. Neural Networks Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2004	—	`conf`	Maximum Margin Clustering. NIPS Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans
2004	—	`conf`	Transformation-Invariant Embedding for Image Analysis. ECCV (4) Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
2003	J	`jnl`	Applying Machine Learning to Text Segmentation for Information Retrieval. Inf. Retr. Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone, Stephen E. Robertson
2003	B	`conf`	Automatic basis selection for RBF networks using Stein's unbiased risk estimator. IJCNN Ali Ghodsi, Dale Schuurmans
2003	J	`jnl`	Automatic basis selection techniques for RBF networks. Neural Networks Ali Ghodsi, Dale Schuurmans
2003	A	`conf`	Boltzmann Machine Learning with the Latent Maximum Entropy Principle. UAI Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2003	A	`conf`	Combining Naive Bayes and n-Gram Language Models for Text Classification. ECIR Fuchun Peng, Dale Schuurmans
2003	A	`conf`	Constraint-Based Optimization with the Minimax Decision Criterion. CP Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2003	—	`conf`	Face Alignment Using Statistical Models and Wavelet Features. CVPR (1) Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans
2003	A	`conf`	Language Independent Authorship Attribution with Character Level N-Grams. EACL Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang
2003	—	`conf`	Language and Task Independent Text Categorization with Simple Language Models. HLT-NAACL Fuchun Peng, Dale Schuurmans, Shaojun Wang
2003	A	`conf`	Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. AISTATS Shaojun Wang, Dale Schuurmans, Fuchun Peng
2003	B	`conf`	Learning Continuous Latent Variable Models with Bregman Divergences. ALT Shaojun Wang, Dale Schuurmans
2003	A*	`conf`	Learning Mixture Models with the Latent Maximum Entropy Principle. ICML Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2003	Misc	`conf`	Model-Based Least-Squares Policy Evaluation. AI Fletcher Lu, Dale Schuurmans
2003	A	`conf`	Monte Carlo Matrix Inversion Policy Evaluation. UAI Fletcher Lu, Dale Schuurmans
2003	—	`conf`	Semantic n-gram language modeling with the latent maximum entropy principle. ICASSP (1) Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
2003	Misc	`conf`	Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. AI Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone
2003	—	`conf`	Text classification in Asian languages without word segmentation. IRAL Fuchun Peng, Xiangji Huang, Dale Schuurmans, Shaojun Wang
2002	A*	`conf`	Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. ICML Carlos Guestrin, Relu Patrascu, Dale Schuurmans
2002	—	`conf`	Data Perturbation for Escaping Local Maxima in Learning. AAAI/IAAI Gal Elidan, Matan Ninio, Nir Friedman, Dale Schuurmans
2002	—	`conf`	Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin
2002	J	`jnl`	Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. Mach. Learn. Yoshua Bengio, Dale Schuurmans
2002	A*	`conf`	Investigating the Maximum Likelihood Alternative to TD(lambda). ICML Fletcher Lu, Relu Patrascu, Dale Schuurmans
2002	B	`conf`	Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. COLING Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone
2002	J	`jnl`	Metric-Based Methods for Adaptive Model Selection and Regularization. Mach. Learn. Dale Schuurmans, Finnegan Southey
2002	—	`conf`	Piecewise Linear Value Function Approximation for Factored MDPs. AAAI/IAAI Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans
2002	—	`conf`	Regularized Greedy Importance Sampling. NIPS Finnegan Southey, Dale Schuurmans, Ali Ghodsi
2002	A*	`conf`	Using self-supervised word segmentation in Chinese information retrieval. SIGIR Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone, Stephen E. Robertson
2002	—	`conf`	Waterloo at NTCIR-3: Using Self-supervised Word Segmentation. NTCIR Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone
2001	—	`conf`	A Hierarchical EM Approach to Word Segmentation. NLPRS Fuchun Peng, Dale Schuurmans
2001	—	`conf`	A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling. NLPRS Fuchun Peng, Dale Schuurmans
2001	—	`conf`	Direct value-approximation for factored MDPs. NIPS Dale Schuurmans, Relu Patrascu
2001	J	`jnl`	General Convergence Results for Linear Discriminant Updates. Mach. Learn. Adam J. Grove, Nick Littlestone, Dale Schuurmans
2001	J	`jnl`	Local search characteristics of incomplete SAT procedures. Artif. Intell. Dale Schuurmans, Finnegan Southey
2001	B	`conf`	Self-Supervised Chinese Word Segmentation. IDA Fuchun Peng, Dale Schuurmans
2001	A*	`conf`	The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming. IJCAI Dale Schuurmans, Finnegan Southey, Robert C. Holte
2000	A*	`conf`	An Adaptive Regularization Criterion for Supervised Learning. ICML Dale Schuurmans, Finnegan Southey
2000	—	`conf`	Local Search Characteristics of Incomplete SAT Procedures. AAAI/IAAI Dale Schuurmans, Finnegan Southey
2000	A	`conf`	Monte Carlo inference via greedy importance sampling. UAI Dale Schuurmans, Finnegan Southey
1999	—	`conf`	Efficient exploration for optimizing immediate reward. AAAI/IAAI Dale Schuurmans, Lloyd G. Greenwald
1999	—	`conf`	Greedy Importance Sampling. NIPS Dale Schuurmans
1998	—	`conf`	Boosting in the Limit: Maximizing the Margin of Learned Ensembles. AAAI/IAAI Adam J. Grove, Dale Schuurmans
1997	—	`conf`	A New Metric-Based Approach to Model Selection. AAAI/IAAI Dale Schuurmans
1997	J	`jnl`	Characterizing Rational Versus Exponential learning Curves. J. Comput. Syst. Sci. Dale Schuurmans
1997	A*	`conf`	Characterizing the generalization performance of model selection strategies. ICML Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
1997	A*	`conf`	General Convergence Results for Linear Discriminant Updates. COLT Adam J. Grove, Nick Littlestone, Dale Schuurmans
1997	A	`conf`	Learning Bayesian Nets that Perform Well. UAI Russell Greiner, Adam J. Grove, Dale Schuurmans
1996	—	`—`	Effective classification learning. Dale Schuurmans
1995	—	`conf`	Characterizing rational versus exponential learning curves. EuroCOLT Dale Schuurmans
1995	A*	`conf`	Practical PAC Learning. IJCAI Dale Schuurmans, Russell Greiner
1995	A*	`conf`	Sequential PAC Learning. COLT Dale Schuurmans, Russell Greiner
1992	A*	`conf`	Learning Useful Horn Approximations. KR Russell Greiner, Dale Schuurmans
1992	—	`conf`	Learning an Optimally Accurate Representation System. ECAI Workshop on Knowledge Representation and Reasoning Russell Greiner, Dale Schuurmans
1989	—	`conf`	Representational Difficulties with Classifier Systems. ICGA Dale Schuurmans, Jonathan Schaeffer