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Statistical Learning

4076 directly classified papers

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Papers

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Autoregressive Bandits AISTATS 2024
Piecewise-Stationary Bandits with Knapsacks NIPS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Transductive conformal inference with adaptive scores AISTATS 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024
On the Expected Size of Conformal Prediction Sets AISTATS 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures AISTATS 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM NIPS 2024
False discovery proportion envelopes with m-consistency JMLR 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Differentially Private Conditional Independence Testing AISTATS 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles AISTATS 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
Auditing Fairness under Unobserved Confounding AISTATS 2024
Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Online Consistency of the Nearest Neighbor Rule NIPS 2024
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NIPS 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024