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Statistical Learning

4,076 papers

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Papers

Learning from Weakly Dependent Data under Dobrushin’s Condition COLT 2019
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019
Statistical Learning with a Nuisance Component COLT 2019
When can unlabeled data improve the learning rate? COLT 2019
Sample complexity of partition identification using multi-armed bandits COLT 2019
Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019
On Mean Estimation for General Norms with Statistical Queries COLT 2019
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance COLT 2019
VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon COLT 2019
Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019
Estimation of smooth densities in Wasserstein distance COLT 2019
Spectral Metric for Dataset Complexity Assessment CVPR 2019
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019
A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation CVPR 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling CVPR 2019
Combining 3D Morphable Models: A Large Scale Face-And-Head Model CVPR 2019
Show Your Work: Improved Reporting of Experimental Results EMNLP 2019
Distributionally Robust Language Modeling EMNLP 2019