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Tutorial
Mon 5:00 Causal Reinforcement Learning
Elias Bareinboim
Poster
Tue 7:00 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Niccolo Dalmasso · Rafael Izbicki · Ann Lee
Poster
Wed 9:00 Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Cong Shen · Zhiyang Wang · Sofia Villar · Mihaela van der Schaar
Poster
Tue 12:00 Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
REDA ALAMI · Odalric-Ambrym Maillard · Raphaël Féraud
Poster
Wed 8:00 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai · Ziyu Wang · David Wipf
Poster
Tue 9:00 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
Salman Sadiq Shuvo · Yasin Yilmaz · Alan Bush · Mark Hafen
Poster
Wed 9:00 Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Trevor Davis · Martin Schmid · Michael Bowling
Poster
Thu 6:00 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra · Vaibhav Rajan
Poster
Thu 6:00 Sequence Generation with Mixed Representations
Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu
Poster
Tue 18:00 Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
Keizo Kato · Jing Zhou · Tomotake Sasaki · Akira Nakagawa
Poster
Tue 7:00 Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Yuandong Tian
Poster
Tue 9:00 Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nova · Yujia Li · Bo Dai · Dale Schuurmans