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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
On the Efficient Minimization of Classification Calibrated Surrogates NIPS 2008
Estimating Robust Query Models with Convex Optimization NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
Mind the Duality Gap: Logarithmic regret algorithms for online optimization NIPS 2008
Fast Rates for Regularized Objectives NIPS 2008
Convex Relaxations of Latent Variable Training NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007
Convex Learning with Invariances NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Bundle Methods for Machine Learning NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007
A New View of Automatic Relevance Determination NIPS 2007
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Progressive mixture rules are deviation suboptimal NIPS 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007