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Statistical Learning

4,117 papers

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Papers

Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023
Transport Reversible Jump Proposals AISTATS 2023
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics AISTATS 2023
Thresholded linear bandits AISTATS 2023
Risk-aware linear bandits with convex loss AISTATS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Pointwise sampling uncertainties on the Precision-Recall curve AISTATS 2023
Principled Approaches for Private Adaptation from a Public Source AISTATS 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023
Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
Domain Adaptation under Missingness Shift AISTATS 2023
Probabilities of Causation: Role of Observational Data AISTATS 2023
Influence Diagnostics under Self-concordance AISTATS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023
DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023