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statistical learning

350 papers

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learning theory (518) sample complexity (1158) generalization bound (649) convergence rate (606) empirical risk minimization (348) information theory (489) bayesian inference (1904) hypothesis testing (254) differential privacy (1010) statistical learning theory (82)

Papers

Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation INTERSPEECH 2024
Information-theoretic Limits of Online Classification with Noisy Labels NIPS 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NIPS 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NIPS 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NIPS 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NIPS 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
Model Collapse Demystified: The Case of Regression NIPS 2024
Stability and L2-penalty in Model Averaging JMLR 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections IJCAI 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NIPS 2024
Gender and age based f0-variation in the German Plapper Corpus INTERSPEECH 2024
Robust Sparse Regression with Non-Isotropic Designs NIPS 2024
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees ICML 2023