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Classification

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Provable local learning rule by expert aggregation for a Hawkes network AISTATS 2024
Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024
Sparse and Faithful Explanations Without Sparse Models AISTATS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures AISTATS 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms AISTATS 2024
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection AISTATS 2024
Online Learning of Decision Trees with Thompson Sampling AISTATS 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Mixed Models with Multiple Instance Learning AISTATS 2024
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024
Faster Recalibration of an Online Predictor via Approachability AISTATS 2024
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention AISTATS 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024