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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

Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels CVPR 2023
Derandomized novelty detection with FDR control via conformal e-values NIPS 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NIPS 2023
A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023
An Ordinal Latent Variable Model of Conflict Intensity ACL 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NIPS 2023
A Theory of Multimodal Learning NIPS 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees ICML 2023
A Fair Generative Model Using LeCam Divergence AAAI 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
Class based Influence Functions for Error Detection ACL 2023
Change point detection and inference in multivariate non-parametric models under mixing conditions NIPS 2023
Average case analysis of Lasso under ultra sparse conditions AISTATS 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023
Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Weakly Supervised Regression with Interval Targets ICML 2023
Proper Scoring Rules for Survival Analysis ICML 2023
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NIPS 2023