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Oral
Tue Jun 11th 04:00 -- 04:20 PM @ Room 103
Natural Analysts in Adaptive Data Analysis
Tijana Zrnic · University of California Moritz Hardt
Oral
Tue Jun 11th 04:20 -- 04:25 PM @ Room 103
CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration
GellĂ©rt Weisz · Andras Gyorgy · Csaba Szepesvari
Oral
Tue Jun 11th 04:25 -- 04:30 PM @ Room 103
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise · Dimitrios Stamos · Massimiliano Pontil · Carlo Ciliberto
Oral
Tue Jun 11th 04:30 -- 04:35 PM @ Room 103
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter · Maya Gupta · Heinrich Jiang · Nati Srebro · Karthik Sridharan · Serena Wang · Blake Woodworth · Seungil You
Oral
Tue Jun 11th 04:35 -- 04:40 PM @ Room 103
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
Raphael A Meyer · Jean Honorio
Oral
Tue Jun 11th 04:40 -- 05:00 PM @ Room 103
The Implicit Fairness Criterion of Unconstrained Learning
Lydia T. Liu · Max Simchowitz · University of California Moritz Hardt
Oral
Tue Jun 11th 05:00 -- 05:05 PM @ Room 103
Weak Detection of Signal in the Spiked Wigner Model
Hye Won Chung · Ji Oon Lee
Oral
Tue Jun 11th 05:05 -- 05:10 PM @ Room 103
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin · Kannan Ramchandran · Peter Bartlett
Oral
Tue Jun 11th 05:10 -- 05:15 PM @ Room 103
Provably efficient RL with Rich Observations via Latent State Decoding
Simon Du · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal · Miroslav Dudik · John Langford
Oral
Tue Jun 11th 05:15 -- 05:20 PM @ Room 103
Information-Theoretic Considerations in Batch Reinforcement Learning
Jinglin Chen · Nan Jiang