More from the Same Authors

• 2021 Spotlight: Combiner: Full Attention Transformer with Sparse Computation Cost »
  Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
• 2021 : Offline Policy Selection under Uncertainty »
  Mengjiao (Sherry) Yang · Bo Dai · Ofir Nachum · George Tucker · Dale Schuurmans
• 2022 Poster: A Simple Decentralized Cross-Entropy Method »
  Zichen Zhang · Jun Jin · Martin Jagersand · Jun Luo · Dale Schuurmans
• 2022 Poster: Chain of Thought Imitation with Procedure Cloning »
  Mengjiao (Sherry) Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
• 2022 Poster: Optimal Scaling for Locally Balanced Proposals in Discrete Spaces »
  Haoran Sun · Hanjun Dai · Dale Schuurmans
• 2022 Poster: The Role of Baselines in Policy Gradient Optimization »
  Jincheng Mei · Wesley Chung · Valentin Thomas · Bo Dai · Csaba Szepesvari · Dale Schuurmans
• 2022 Poster: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models »
  Jason Wei · Xuezhi Wang · Dale Schuurmans · Maarten Bosma · brian ichter · Fei Xia · Ed Chi · Quoc V Le · Denny Zhou
• 2022 Poster: On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games »
  Runyu Zhang · Jincheng Mei · Bo Dai · Dale Schuurmans · Na Li
• 2021 : Invited Talk: Dale Schuurmans - Understanding Deep Value Estimation »
  Dale Schuurmans
• 2021 Poster: Combiner: Full Attention Transformer with Sparse Computation Cost »
  Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
• 2021 Poster: Understanding the Effect of Stochasticity in Policy Optimization »
  Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans
• 2019 Poster: Maximum Entropy Monte-Carlo Planning »
  Chenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller
• 2019 Poster: Surrogate Objectives for Batch Policy Optimization in One-step Decision Making »
  Minmin Chen · Ramki Gummadi · Chris Harris · Dale Schuurmans
• 2019 Poster: Invertible Convolutional Flow »
  Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth
• 2019 Spotlight: Invertible Convolutional Flow »
  Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth
• 2018 : Off-policy Policy Optimization (Dale Schuurmans) »
  Dale Schuurmans
• 2017 Poster: Bridging the Gap Between Value and Policy Based Reinforcement Learning »
  Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans
• 2017 Poster: Multi-view Matrix Factorization for Linear Dynamical System Estimation »
  Mahdi Karami · Martha White · Dale Schuurmans · Csaba Szepesvari
• 2016 Poster: Deep Learning Games »
  Dale Schuurmans · Martin A Zinkevich
• 2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
  Mohammad Norouzi · Samy Bengio · zhifeng Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans
• 2015 Poster: Embedding Inference for Structured Multilabel Prediction »
  Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans
• 2014 Workshop: Representation and Learning Methods for Complex Outputs »
  Richard Zemel · Dale Schuurmans · Kilian Q Weinberger · Yuhong Guo · Jia Deng · Francesco Dinuzzo · Hal Daumé III · Honglak Lee · Noah A Smith · Richard Sutton · Jiaqian YU · Vitaly Kuznetsov · Luke Vilnis · Hanchen Xiong · Calvin Murdock · Thomas Unterthiner · Jean-Francis Roy · Martin Renqiang Min · Hichem SAHBI · Fabio Massimo Zanzotto
• 2014 Poster: Convex Deep Learning via Normalized Kernels »
  Özlem Aslan · Xinhua Zhang · Dale Schuurmans
• 2013 Workshop: Output Representation Learning »
  Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser
• 2013 Poster: Convex Two-Layer Modeling »
  Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans
• 2013 Spotlight: Convex Two-Layer Modeling »
  Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans
• 2013 Poster: Polar Operators for Structured Sparse Estimation »
  Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans
• 2012 Poster: Convex Multi-view Subspace Learning »
  Martha White · Yao-Liang Yu · Xinhua Zhang · Dale Schuurmans
• 2012 Poster: Accelerated Training for Matrix-norm Regularization: A Boosting Approach »
  Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans
• 2012 Poster: A Polynomial-time Form of Robust Regression »
  Yao-Liang Yu · Özlem Aslan · Dale Schuurmans
• 2010 Poster: Relaxed Clipping: A Global Training Method for Robust Regression and Classification »
  Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans
• 2009 Poster: Convex Relaxation of Mixture Regression with Efficient Algorithms »
  Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans
• 2009 Poster: A General Projection Property for Distribution Families »
  Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari
• 2007 Spotlight: Stable Dual Dynamic Programming »
  Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans
• 2007 Poster: Stable Dual Dynamic Programming »
  Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans
• 2007 Session: Spotlights »
  Dale Schuurmans
• 2007 Poster: Convex Relaxations of EM »
  Yuhong Guo · Dale Schuurmans
• 2007 Poster: Discriminative Batch Mode Active Learning »
  Yuhong Guo · Dale Schuurmans
• 2006 Poster: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields »
  Chi-Hoon Lee · Shaojun Wang · Feng Jiao · Dale Schuurmans · Russell Greiner
• 2006 Poster: implicit Online Learning with Kernels »
  Li Cheng · Vishwanathan S V N · Dale Schuurmans · Shaojun Wang · Terry Caelli