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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

Average case analysis of Lasso under ultra sparse conditions AISTATS 2023
Weakly Supervised Regression with Interval Targets ICML 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
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023
A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023
Statistical Learning under Heterogeneous Distribution Shift ICML 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023
Data Structures for Density Estimation ICML 2023
Demystifying the Optimal Performance of Multi-Class Classification NIPS 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Bias-Variance Decompositions for Margin Losses AISTATS 2022
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support NIPS 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NIPS 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators NIPS 2022
Robust Model Selection and Nearly-Proper Learning for GMMs NIPS 2022
On the generalization of learning algorithms that do not converge NIPS 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NIPS 2022
Characterization of Excess Risk for Locally Strongly Convex Population Risk NIPS 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
What is a Good Metric to Study Generalization of Minimax Learners? NIPS 2022
MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022