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Statistical Learning

4,076 papers

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Papers

On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
Testing Product Distributions: A Closer Look ALT 2021
Precise Minimax Regret for Logistic Regression with Categorical Feature Values ALT 2021
Statistical guarantees for generative models without domination ALT 2021
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model ALT 2021
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021
Functions with average smoothness: structure, algorithms, and learning COLT 2021
Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent COLT 2021
Learning and testing junta distributions with sub cube conditioning COLT 2021
Query complexity of least absolute deviation regression via robust uniform convergence COLT 2021
The Sample Complexity of Robust Covariance Testing COLT 2021
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021
Source Identification for Mixtures of Product Distributions COLT 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021
Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021
Group testing and local search: is there a computational-statistical gap? COLT 2021
On the Minimal Error of Empirical Risk Minimization COLT 2021
Learning with invariances in random features and kernel models COLT 2021
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021
Conditional Bures Metric for Domain Adaptation CVPR 2021
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021