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Oral Session
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Tue 10:30
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Theory of Statistical and Deep Learning Methods
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Poster
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Wed 12:45
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Efficient Balanced Treatment Assignments for Experimentation
David Arbour · Drew Dimmery · Anup Rao
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Poster
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Wed 12:45
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Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
Ilker Demirel · Cem Tekin
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Poster
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Tue 14:00
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Training a Single Bandit Arm
Eren Ozbay · Vijay Kamble
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Poster
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Wed 6:00
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Fully Gap-Dependent Bounds for Multinomial Logit Bandit
Jiaqi Yang
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Poster
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Thu 7:30
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Why did the distribution change?
Kailash Budhathoki · Dominik Janzing · Patrick Bloebaum · Hoiyi Ng
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Poster
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Wed 12:45
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Exploiting Equality Constraints in Causal Inference
Chi Zhang · Carlos Cinelli · Bryant Chen · Judea Pearl
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Poster
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Tue 14:00
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Active Learning under Label Shift
Eric Zhao · Anqi Liu · Animashree Anandkumar · Yisong Yue
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Poster
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Tue 18:30
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Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
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Poster
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Tue 14:00
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Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya · Tushar Nagarajan · Daniel Malinsky · Ilya Shpitser
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Poster
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Tue 18:30
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Identification of Matrix Joint Block Diagonalization
Yunfeng Cai · Ping Li
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Poster
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Wed 12:45
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Learning Prediction Intervals for Regression: Generalization and Calibration
Haoxian Chen · Ziyi Huang · Henry Lam · Huajie Qian · Haofeng Zhang
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