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