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Classification

15,805 papers

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Papers

Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees JMLR 2023
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023
MMD Aggregated Two-Sample Test JMLR 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Minimax Risk Classifiers with 0-1 Loss JMLR 2023
Random Forests for Change Point Detection JMLR 2023
RankSEG: A Consistent Ranking-based Framework for Segmentation JMLR 2023
Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023
Selection by Prediction with Conformal p-values JMLR 2023
Graph Attention Retrospective JMLR 2023
Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023
Learning to Rank under Multinomial Logit Choice JMLR 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023
Random Feature Amplification: Feature Learning and Generalization in Neural Networks JMLR 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis JMLR 2023
Bandit problems with fidelity rewards JMLR 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
A Unified Theory of Diversity in Ensemble Learning JMLR 2023
Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023
Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023
Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023