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Statistical Learning

4,117 papers

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Papers

Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015
Fast Rates in Statistical and Online Learning JMLR 2015
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation JMLR 2015
Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015
On Linearly Constrained Minimum Variance Beamforming JMLR 2015
Existence and Uniqueness of Proper Scoring Rules JMLR 2015
Agnostic Insurability of Model Classes JMLR 2015
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies JMLR 2015
A General Framework for Fast Stagewise Algorithms JMLR 2015
A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior JMLR 2015
A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015
The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015
Graphical Models via Univariate Exponential Family Distributions JMLR 2015
From Stochastic Mixability to Fast Rates NIPS 2014
Active Regression by Stratification NIPS 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Cone-Constrained Principal Component Analysis NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Exponential Concentration of a Density Functional Estimator NIPS 2014