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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

The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NIPS 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022
Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022
Bias-Variance Decompositions for Margin Losses AISTATS 2022
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
Faster Rates of Private Stochastic Convex Optimization ALT 2022
Feature selection using e-values ICML 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022
On the Role of Channel Capacity in Learning Gaussian Mixture Models COLT 2022
On the generalization of learning algorithms that do not converge NIPS 2022
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NIPS 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NIPS 2022
Robust Model Selection and Nearly-Proper Learning for GMMs NIPS 2022
What is a Good Metric to Study Generalization of Minimax Learners? NIPS 2022
Characterization of Excess Risk for Locally Strongly Convex Population Risk NIPS 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support NIPS 2022
Robust Estimation for Random Graphs COLT 2022
Out-of-Distribution Generalization in Kernel Regression NIPS 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NIPS 2021
Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021
A statistical perspective on distillation ICML 2021