Skip to content
conftrace_

convex optimization

1,445 papers

CO

Papers

On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Robust Regression and Lasso NeurIPS 2008 Sparse Online Learning via Truncated Gradient NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Tighter Bounds for Structured Estimation 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 New View of Automatic Relevance Determination NeurIPS 2007 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007 A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 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 Euclidean Embedding of Co-occurrence Data JMLR 2007 Hierarchical Penalization NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007