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Regression

5,004 papers

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Papers

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Matrix Completion From any Given Set of Observations NIPS 2013
Lasso Screening Rules via Dual Polytope Projection NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Dirty Statistical Models NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NIPS 2013
Sketching Structured Matrices for Faster Nonlinear Regression NIPS 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Which Space Partitioning Tree to Use for Search? NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
One-shot learning and big data with n=2 NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NIPS 2013
Firing rate predictions in optimal balanced networks NIPS 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013