Regression

SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Understanding the Intrinsic Memorability of Images NeurIPS 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Union Support Recovery in Multi-task Learning JMLR 2011 Accounting for network effects in neuronal responses using L1 regularized point process models NeurIPS 2010 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Regularization Approach to Nonlinear Variable Selection AISTATS 2010 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010 A unified model of short-range and long-range motion perception NeurIPS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010