
Title |
|---|
![]() Entropy, concentration, and learning: a statistical mechanics primer Akshay Balsubramani |
![]() An Adaptive Method for Weak Supervision with Drifting DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
![]() Losses over Labels: Weakly Supervised Learning via Direct Loss
ConstructionAAAI Conference on Artificial Intelligence (AAAI), 2022 Dylan Sam J. Zico Kolter |
![]() Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with
AttributesNeural Information Processing Systems (NeurIPS), 2022 |
![]() Minimax risk classifiers with 0-1 lossJournal of machine learning research (JMLR), 2022 |
![]() Learning from Multiple Noisy Partial LabelersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |