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- [ 65081 ] Provable General Function Class Representation Learning in Multitask Bandits and MDP
- [ 65082 ] Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
- [ 65083 ] Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
- [ 65088 ] Toward Robust Spiking Neural Network Against Adversarial Perturbation
- [ 65089 ] The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
- [ 65090 ] Fuzzy Learning Machine
- [ 65091 ] BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Q&A on RocketChat immediately following Lightning Talks
Author Information
Yunhao Tang (Columbia University)
I am a PhD student at Columbia IEOR. My research interests are reinforcement learning and approximate inference.
LING LIANG (UCSB)
Thomas Chau (Samsung AI Center Cambridge)
I am currently a NPU architect at Neubla. I was a senior research scientist at Samsung AI Centre in Cambridge, Intel Programmable Solution Group (formerly Altera) and the Research and Development Department of ARM. I obtained my PhD in Computing at Imperial College London in 2014, under the supervision of Professor Wayne Luk. Before that, I received my BEng and MPhil degrees in Computer Science and Engineering from the Chinese University of Hong Kong, in 2008 and 2010, respectively.
Daeha Kim (Inha University)
Junbiao Cui (Shanxi University)
Rui Lu (Tsinghua University)
Lei Song (Nanjing University)
Byung Cheol Song (Inha University)
Byung Cheol Song received his BS, MS, and PhD in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 1994, 1996, and 2001, respectively. From 2001 to 2008, he was a senior engineer in the Digital Media R&D Center, Samsung Electronics Co., Ltd., Suwon, Korea. In March 2008, he joined the Department of Electronic Engineering, Inha University, Incheon, Korea, and currently is a professor. His research interests are in the general areas of image processing, computer vision, and multimedia system design.
Andrew Zhao (Tsinghua University)
Andrew Zhao is a PhD student at Tsinghua University. He obtained his masters degree from USC in 2020, and undergrad degree from UBC in 2017. His research interests are in machine learning and reinforcement learning.
Remi Munos (DeepMind)
Łukasz Dudziak (Samsung AI Centre - Cambridge)
Jiye Liang (Shanxi University)
Ke Xue (Nanjing University)
Kaidi Xu (Northeastern University)
Mark Rowland (DeepMind)
Hongkai Wen (University of Warwick)
Xing Hu (Institute of Computing Technology, Chinese Academy of Sciences)
Xiaobin Huang (Nanjing University)
Simon Du (University of Washington)
Nicholas Lane (University of Cambridge)
Chao Qian (Nanjing University)
Lei Deng (Tsinghua University)
Bernardo Avila Pires (DeepMind)
Gao Huang (Cornell University)
Will Dabney (DeepMind)
Mohamed Abdelfattah (Cornell University)
Yuan Xie (UCSB)
Marc Bellemare (Google Brain)
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