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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

Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective AAAI 2026
Statistical Foundations of DIME: Risk Estimation for Practical Index Selection EACL 2026
Variance Reduction via Resampling and Experience Replay AAAI 2026
Measuring Model Performance in the Presence of an Intervention AAAI 2026
BabyLM’s First Words: Word Segmentation as a Phonological Probing Task CONLL 2025
Population Normalization for Federated Learning CVPR 2025
Neural Networks Perform Sufficient Dimension Reduction AAAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025
Contrastive Functional Principal Component Analysis AAAI 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Composite Goodness-of-fit Tests with Kernels JMLR 2025
Generalizing Constraint Models in Constraint Acquisition AAAI 2025
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections IJCAI 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Gender and age based f0-variation in the German Plapper Corpus INTERSPEECH 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
On the Concentration of the Minimizers of Empirical Risks JMLR 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NIPS 2024
Stability and L2-penalty in Model Averaging JMLR 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024