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Statistical Learning

4076 directly classified papers

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Papers

Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
Spread Flows for Manifold Modelling AISTATS 2023
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Iterative Approximate Cross-Validation ICML 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023
Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
Principled Approaches for Private Adaptation from a Public Source AISTATS 2023
Domain Adaptation under Missingness Shift AISTATS 2023
Distribution-Free Statistical Dispersion Control for Societal Applications NIPS 2023
An information-theoretic quantification of the content of communication between brain regions NIPS 2023
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Bootstrap in High Dimension with Low Computation ICML 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023