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Statistical Learning

4076 directly classified papers

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Papers

Derandomized novelty detection with FDR control via conformal e-values NIPS 2023
More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Proper Scoring Rules for Survival Analysis ICML 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023
Conformal Prediction Sets for Ordinal Classification NIPS 2023
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023
Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023
Influence Diagnostics under Self-concordance AISTATS 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023