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Statistical Learning

4,117 papers

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100
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Papers

Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
Active Comparison of Prediction Models NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
Transelliptical Graphical Models NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012
Transelliptical Component Analysis NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Density-Difference Estimation NIPS 2012
Conditional Validity of Inductive Conformal Predictors ACML 2012
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012
Minimax rates for homology inference AISTATS 2012
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012
Sample Complexity of Composite Likelihood AISTATS 2012