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Search All 2021 Events
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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
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