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Statistical Learning

4076 directly classified papers

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Papers

Domain Adaptation under Missingness Shift AISTATS 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 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
Model-agnostic Measure of Generalization Difficulty 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
Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023
Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023
Sharing Pattern Submodels for Prediction with Missing Values AAAI 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
Selective Nonparametric Regression via Testing ACML 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Adaptive Data Depth via Multi-Armed Bandits JMLR 2023
Generalization error bounds for multiclass sparse linear classifiers JMLR 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023