probabilistic classification

Learning to Learn in Interactive Constraint Acquisition AAAI 2024 From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023 Mandarin classifier systems optimize to accommodate communicative pressures EMNLP 2023 Predictive Multiplicity in Probabilistic Classification AAAI 2023 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification NeurIPS 2022 A Discriminative Gaussian Mixture Model with Sparsity ICLR 2021 Optimized Score Transformation for Consistent Fair Classification JMLR 2021 Evaluating model calibration in classification AISTATS 2019 A Report on the Complex Word Identification Shared Task 2018 NAACL 2018 Deep Learning Architecture for Complex Word Identification NAACL 2018 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013 Fast Probabilistic Labeling of City Maps RSS 2008