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Regression

4964 directly classified papers

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Papers

Random Utility Theory for Social Choice NIPS 2012
Memorability of Image Regions NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
Optimal aggregation of affine estimators COLT 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011
CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011
Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011
Estimating Probabilities in Recommendation Systems AISTATS 2011
A Simpler Approach to Matrix Completion JMLR 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Sparse recovery by thresholded non-negative least squares NIPS 2011
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NIPS 2011