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Workshop
Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning
Tianhao Wang · Yu Yang · Ruoxi Jia
Poster
Wed 18:30 A Theory of Tournament Representations
Arun Rajkumar · Vishnu Veerathu · Abdul Mir
Spotlight
Mon 2:30 IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
Poster
Thu 18:30 Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen · Jiachen Hu · Chi Jin · Lihong Li · Liwei Wang
Poster
Thu 18:30 Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu · Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Poster
Mon 18:30 Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim · Kyeong Ryeol Go · Se-Young Yun
Poster
Tue 2:30 NeuPL: Neural Population Learning
SIQI LIU · Luke Marris · Daniel Hennes · Josh Merel · Nicolas Heess · Thore Graepel
Oral
Mon 18:15 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
Poster
Thu 10:30 Deep ReLU Networks Preserve Expected Length
Boris Hanin · Ryan Jeong · David Rolnick
Poster
Thu 18:30 Model Zoo: A Growing Brain That Learns Continually
Rahul Ramesh · Pratik A Chaudhari
Spotlight
Thu 18:30 Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
Zhi Zhang · Zhuoran Yang · Han Liu · Pratap Tokekar · Furong Huang
Poster
Wed 10:30 The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek · Andrej Risteski