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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023
Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023
Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
Double-Weighting for Covariate Shift Adaptation ICML 2023
Deterministic equivalent and error universality of deep random features learning ICML 2023
Multi-Agent Best Arm Identification with Private Communications ICML 2023
DRCFS: Doubly Robust Causal Feature Selection ICML 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
The Statistical Scope of Multicalibration ICML 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023
Nonparametric Density Estimation under Distribution Drift ICML 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023
Influence Diagnostics under Self-concordance AISTATS 2023