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Search All 2021 Events
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Oral Session
Thu 15:15
Learning Theory
Oral Session
Wed 8:15
Theory and Methods of Learning
Oral Session
Wed 10:30
Optimization / Learning Theory / Generalization
Oral Session
Tue 10:30
Theory of Statistical and Deep Learning Methods
Oral Session
Tue 17:15
Theory and Practice of Machine Learning
Poster
Wed 12:45
Efficient Balanced Treatment Assignments for Experimentation
David Arbour · Drew Dimmery · Anup Rao
Oral Session
Wed 9:15
Bandits, Reinforcement Learning / Learning Theory / Sparse Methods
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
Wed 12:45
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
Ilker Demirel · Cem Tekin
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
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