Convex Optimization

An interior-point stochastic approximation method and an L1-regularized delta rule NeurIPS 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Estimating vector fields using sparse basis field expansions NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Mind the Duality Gap: Logarithmic regret algorithms for online optimization NeurIPS 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 Robust Regression and Lasso NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 Adaptive Online Gradient Descent NeurIPS 2007 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Hierarchical Penalization NeurIPS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007