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Poster
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Wed 9:00
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Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness
Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang
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Poster
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Tue 14:00
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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser · Steve Hanneke · Nati Srebro
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Poster
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Thu 9:00
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Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
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Poster
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On Batch Teaching with Sample Complexity Bounded by VCD
Farnam Mansouri · Hans Simon · Adish Singla · Sandra Zilles
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Poster
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Thu 9:00
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A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
Idan Attias · Steve Hanneke · Yishay Mansour
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Poster
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Wed 9:00
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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang
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Poster
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Wed 9:00
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Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
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Poster
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Wed 9:00
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The Sample Complexity of One-Hidden-Layer Neural Networks
Gal Vardi · Ohad Shamir · Nati Srebro
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Poster
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Tue 14:00
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Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer
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Poster
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Wed 14:00
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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
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Poster
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Wed 14:00
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Maximizing and Satisficing in Multi-armed Bandits with Graph Information
Parth Thaker · Mohit Malu · Nikhil Rao · Gautam Dasarathy
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Poster
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Tue 9:00
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A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park · Sangdoo Yun · Sanghyuk Chun
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