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Statistical Learning

4076 directly classified papers

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Papers

A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025
Towards Improved Risk Bounds for Transductive Learning IJCAI 2025
On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025
Substitute Adjustment via Recovery of Latent Variables JMLR 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
Certified Machine Unlearning Under High Dimensional Regime JMLR 2025
On Inference for the Support Vector Machine JMLR 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025
Uplift Model Evaluation with Ordinal Dominance Graphs JMLR 2025
Causal Effect of Functional Treatment JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests JMLR 2025
Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation JMLR 2025
Frontiers to the learning of nonparametric hidden Markov models JMLR 2025
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection JMLR 2025
Assumption-lean and data-adaptive post-prediction inference JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data JMLR 2025
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025