Poster

Tue 14:00

Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu · Yingbin Liang

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

Poster

Wed 6:00

Learning Complexity of Simulated Annealing
Avrim Blum · Chen Dan · Saeed Seddighin

Poster

Tue 18:30

Meta Learning in the Continuous Time Limit
Ruitu Xu · Lin Chen · Amin Karbasi

Poster

Thu 7:30

Hadamard Wirtinger Flow for Sparse Phase Retrieval
Fan Wu · Patrick Rebeschini

Oral Session

Tue 17:15

Theory and Practice of Machine Learning

Oral Session

Tue 10:30

Theory of Statistical and Deep Learning Methods

Poster

Thu 7:30

The Teaching Dimension of Kernel Perceptron
Akash Kumar · Hanqi Zhang · Adish Singla · Yuxin Chen

Poster

Tue 18:30

Causal Modeling with Stochastic Confounders
Thanh Vinh Vo · Pengfei Wei · Wicher Bergsma · Tze Yun Leong

Oral Session

Wed 9:15

Bandits, Reinforcement Learning / Learning Theory / Sparse Methods