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Regression

5,004 papers

Papers per year

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Papers

Learning with Target Prior NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Memorability of Image Regions NIPS 2012
Projection Retrieval for Classification NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Pointwise Tracking the Optimal Regression Function NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
History-alignment models for bias-aware prediction of virological response to HIV combination therapy AISTATS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
High-Rank Matrix Completion AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012