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