Preprint
Distribution-dependent Generalization Bounds for Tuning Linear Regression Across Tasks
Algorithm Configuration for Structured Pfaffian Settings
LEARNING FROM WEAK LABELERS AS CONSTRAINTS
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets
How Much Data Is Sufficient to Learn High-Performing Algorithms?