Optimal Binary Classifier Aggregation for General Losses
Papers citing "Optimal Binary Classifier Aggregation for General Losses"
9 / 9 papers shown
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 Reliable Programmatic Weak Supervision with Confidence Intervals for Label ProbabilitiesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 |
 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 |
 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 |
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