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Statistical Learning

4,117 papers

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Papers

Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NIPS 2014
(Almost) No Label No Cry NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Minimax-optimal Inference from Partial Rankings NIPS 2014
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NIPS 2014
On the Information Theoretic Limits of Learning Ising Models NIPS 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014
Sparse PCA with Oracle Property NIPS 2014
Estimation with Norm Regularization NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
PAC-Bayesian Theory for Transductive Learning AISTATS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014
PAC-Bayesian Collective Stability AISTATS 2014
On the Testability of Models with Missing Data AISTATS 2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Learning without concentration COLT 2014
Optimal learners for multiclass problems COLT 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014
On the Complexity of A/B Testing COLT 2014
Elicitation and Identification of Properties COLT 2014