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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Proper Scoring Rules for Survival Analysis ICML 2023
Learning Functional Distributions with Private Labels ICML 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023
A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023
Tilted Sparse Additive Models ICML 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023
On the Estimation of Gaussian Mixture Copula Models ICML 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023
Kernel QuantTree ICML 2023
Improving Expert Predictions with Conformal Prediction ICML 2023
Statistical Learning under Heterogeneous Distribution Shift ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
Explainability as statistical inference ICML 2023
Fast and scalable score-based kernel calibration tests UAI 2023
Probabilistically robust conformal prediction UAI 2023
In- or out-of-distribution detection via dual divergence estimation UAI 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023
Is the volume of a credal set a good measure for epistemic uncertainty? UAI 2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023
Validation of composite systems by discrepancy propagation UAI 2023