Timezone: »
- [ 65007 ] Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
- [ 65008 ] Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
- [ 65009 ] Revisiting Heterophily For Graph Neural Networks
- [ 65010 ] Understanding the Failure of Batch Normalization for Transformers in NLP
- [ 65011 ] A Unified Model for Multi-class Anomaly Detection
- [ 65013 ] A Closer Look at Offline RL Agents
- [ 65014 ] Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Q&A on RocketChat immediately following Lightning Talks
Author Information
Sitao Luan (McGill University, Mila)
I’m a second year Ph.D. student working with Professor Doina Precup and Professor Xiao-Wen Chang on the cross area of reinforcement learning and matrix computations. I’m currently interested in approximate dynamic programming and Krylov subspace methods. I'm currently working on constructiong basis functions for value function approximation in model-based reinforcement learning.
Zhiyuan You (Shanghai Jiao Tong University)
Ruofan Liu (Shanghai Jiao Tong University)
Linhao Qu (Digital Medical Center, Fudan University)
Yuwei Fu (McGill University)
Jiaxi Wang (Tsinghua University)
Chunyu Wei (Alibaba Group)
Jian Liang (Alibaba Group)
Jian Liang received his Ph.D. degree from Tsinghua University, Beijing, China, in 2018. During 2018 and 2020 he was a senior researcher in the Wireless Security Products Department of the Cloud and Smart Industries Group at Tencent, Beijing. In 2020 he joined the AI for international Department, New Retail Intelligence Engine, Alibaba Group as a senior algorithm engineer. His paper received the Best Short Paper Award in 2016 IEEE International Conference on Healthcare Informatics (ICHI).
xiaoyuan luo (Fudan Univerisity)
Di Wu (Samsung)
Yun Lin (National University of Singapore)
Lei Cui (Tsinghua University, Tsinghua University)
Ji Wu (Tsinghua University, Tsinghua University)
Chenqing Hua (McGill University)
Yujun Shen (Ant Research)
Qincheng Lu (McGill University)
XIANGLIN YANG (national university of singaore, National University of Singapore)
Benoit Boulet (McGill)
Manning Wang (Fudan University)
Di Liu (Beijing University of Aeronautics and Astronautics)
Lei Huang (Beihang University)
Lei Huang received his BSc and PhD degrees under supervision of Prof. Wei Li, respectively in 2010 and 2018, at the School of Computer Science and Engineering, Beihang University, China. From 2015 to 2016, he visited the Vision and Learning Lab, University of Michigan, Ann Arbor, as a joint PhD student supervised by Prof. Jia Deng. During 2018 to 2020, he was a research scientist in Inception Institute of Artificial Intelligence (IIAI), UAE. His current research mainly focuses on normalization techniques (involving methods, theories and applications) in training DNNs. He also has wide interests in deep learning theory (representation & optimization) and computers vision tasks. He serves as a reviewer for the top conferences and journals such as CVPR, ICML, ICCV, ECCV, NeurIPS, AAAI, JMLR, TPAMI, IJCV, TNNLS, etc.
Fei Wang (Cornell University)
Kai Yang (Beijing University of Posts and Telecommunications)
Jiaqi Zhu (McGill University)
Jin Song Dong (National University of Singapore)
Zhijian Song
Xin Lu (SenseTime Group Limited)
Mingde Zhao (McGill University)
Shuyuan Zhang (Mcgill University / Mila)
Yu Zheng (Shanghai Jiaotong University)
Xiao-Wen Chang (McGill University)
Xinyi Le (Shanghai Jiao Tong University)
Doina Precup (McGill University / Mila / DeepMind Montreal)
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2020 : Closing remarks »
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2020 : Invited Talk #7 QnA - Yael Niv »
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2020 : Speaker Introduction: Yael Niv »
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2020 : Organizers Opening Remarks »
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2020 : Keynote: Doina Precup »
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2020 Poster: Reward Propagation Using Graph Convolutional Networks »
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2019 : Panel Session: A new hope for neuroscience »
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2019 : Poster and Coffee Break 2 »
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2019 : Poster Presentations »
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2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 : Panel Discussion »
Richard Sutton · Doina Precup -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 : Invited Talk: Hierarchical Reinforcement Learning: Computational Advances and Neuroscience Connections »
Doina Precup -
2019 : Panel Discussion led by Grace Lindsay »
Grace Lindsay · Blake Richards · Doina Precup · Jacqueline Gottlieb · Jeff Clune · Jane Wang · Richard Sutton · Angela Yu · Ida Momennejad -
2019 : Opening Remarks »
Raymond Chua · Feryal Behbahani · Sara Zannone · Rui Ponte Costa · Claudia Clopath · Doina Precup · Blake Richards -
2019 Workshop: Biological and Artificial Reinforcement Learning »
Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup -
2019 Poster: Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks »
Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup -
2018 Poster: Boosted Sparse and Low-Rank Tensor Regression »
Jun Yu · Kun Chen · Wanwan Xu · Jiayu Zhou · Fei Wang -
2018 Poster: Temporal Regularization for Markov Decision Process »
Pierre Thodoroff · Audrey Durand · Joelle Pineau · Doina Precup -
2018 Poster: Learning Safe Policies with Expert Guidance »
Jessie Huang · Fa Wu · Doina Precup · Yang Cai -
2017 : Panel Discussion »
Matt Botvinick · Emma Brunskill · Marcos Campos · Jan Peters · Doina Precup · David Silver · Josh Tenenbaum · Roy Fox -
2017 : Progress on Deep Reinforcement Learning with Temporal Abstraction (Doina Precup) »
Doina Precup -
2017 : Doina Precup »
Doina Precup -
2017 Workshop: Hierarchical Reinforcement Learning »
Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa -
2016 Workshop: The Future of Interactive Machine Learning »
Kory Mathewson @korymath · Kaushik Subramanian · Mark Ho · Robert Loftin · Joseph L Austerweil · Anna Harutyunyan · Doina Precup · Layla El Asri · Matthew Gombolay · Jerry Zhu · Sonia Chernova · Charles Isbell · Patrick M Pilarski · Weng-Keen Wong · Manuela Veloso · Julie A Shah · Matthew Taylor · Brenna Argall · Michael Littman -
2015 Poster: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Spotlight: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Poster: Basis refinement strategies for linear value function approximation in MDPs »
Gheorghe Comanici · Doina Precup · Prakash Panangaden -
2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2014 Poster: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2014 Poster: Learning with Pseudo-Ensembles »
Philip Bachman · Ouais Alsharif · Doina Precup -
2014 Spotlight: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2013 Poster: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Poster: Bellman Error Based Feature Generation using Random Projections on Sparse Spaces »
Mahdi Milani Fard · Yuri Grinberg · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Spotlight: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2012 Poster: Value Pursuit Iteration »
Amir-massoud Farahmand · Doina Precup -
2012 Poster: On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2011 Poster: Reinforcement Learning using Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2009 Poster: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2009 Spotlight: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2008 Poster: Bounding Performance Loss in Approximate MDP Homomorphisms »
Doina Precup · Jonathan Taylor Taylor · Prakash Panangaden