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