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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

Learning Convex QP Relaxations for Structured Prediction ICML 2013
Intersecting singularities for multi-structured estimation ICML 2013
Quadruplet-Wise Image Similarity Learning ICCV 2013
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach NIPS 2012
Classification Calibration Dimension for General Multiclass Losses NIPS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
A quasi-Newton proximal splitting method NIPS 2012
Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012
Regularized Off-Policy TD-Learning NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Stochastic Gradient Descent with Only One Projection NIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Sparse Prediction with the $k$-Support Norm NIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012