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Statistical Learning

4,117 papers

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Papers

Universal consistency and minimax rates for online Mondrian Forests NIPS 2017
Multi-way Interacting Regression via Factorization Machines NIPS 2017
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features NIPS 2017
On the Distribution of Lexical Features at Multiple Levels of Analysis ACL 2017
Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017
Minimax Gaussian Classification & Clustering AISTATS 2017
Consistent and Efficient Nonparametric Different-Feature Selection AISTATS 2017
Minimax Density Estimation for Growing Dimension AISTATS 2017
Learning Theory for Conditional Risk Minimization AISTATS 2017
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation AISTATS 2017
Attributing Hacks AISTATS 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017
A Learning Theory of Ranking Aggregation AISTATS 2017
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere AISTATS 2017
Fast rates with high probability in exp-concave statistical learning AISTATS 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017
Universality of Bayesian mixture predictors ALT 2017
Hypotheses testing on infinite random graphs ALT 2017
Tight Bounds on $\ell_1$ Approximation and Learning of Self-Bounding Functions ALT 2017
Dealing with Range Anxiety in Mean Estimation via Statistical Queries ALT 2017
Learning from Networked Examples ALT 2017
Rates of estimation for determinantal point processes COLT 2017
Testing Bayesian Networks COLT 2017
Thresholding Based Outlier Robust PCA COLT 2017