Mathematics & Optimization

Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Sparsity Regret Bounds for Individual Sequences in Online Linear Regression COLT 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Statistical Tests for Optimization Efficiency NeurIPS 2011 Stochastic convex optimization with bandit feedback NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Structure Learning for Optimization NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011