Showing 1–20 of 30 results
/ Date/ Name
Sep 6, 2019Optimizing Generalized Rate Metrics through Game EquilibriumFeb 13, 2021Distilling Double DescentJul 9, 2021Training Over-parameterized Models with Non-decomposable ObjectivesJun 12, 2019Pairwise Fairness for Ranking and RegressionFeb 20, 2020Optimizing Black-box Metrics with Adaptive SurrogatesJan 29, 2023Plugin estimators for selective classification with out-of-distribution detectionMay 13, 2016Support Vector Algorithms for Optimizing the Partial Area Under the ROC CurveJan 1, 2015Consistent Classification Algorithms for Multi-class Non-Decomposable Performance MetricsMay 29, 2024Faster Cascades via Speculative DecodingJun 12, 2017Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsJul 23, 2021Implicit Rate-Constrained Optimization of Non-decomposable ObjectivesMay 29, 2024Cascade-Aware Training of Language ModelsJun 23, 2020Fair Performance Metric ElicitationMay 27, 2018Metric-Optimized Example WeightsMay 26, 2015Surrogate Functions for Maximizing Precision at the TopJun 4, 2021Churn Reduction via DistillationMay 26, 2015Optimizing Non-decomposable Performance Measures: A Tale of Two ClassesJul 6, 2023When Does Confidence-Based Cascade Deferral Suffice?Feb 21, 2020Robust Optimization for Fairness with Noisy Protected GroupsFeb 18, 2021Optimizing Black-box Metrics with Iterative Example Weighting