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Continuous Optimization

3,907 papers

Papers per year

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Papers

Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Linear Time Solver for Primal SVM ICML 2014
Coding for Random Projections ICML 2014
Fast Computation of Wasserstein Barycenters ICML 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Local Ordinal Embedding ICML 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
Finito: A faster, permutable incremental gradient method for big data problems ICML 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Riemannian Pursuit for Big Matrix Recovery ICML 2014
Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm ICML 2014
Multiresolution Matrix Factorization ICML 2014
Asynchronous Distributed ADMM for Consensus Optimization ICML 2014
Spectral Regularization for Max-Margin Sequence Tagging ICML 2014
Nonnegative Sparse PCA with Provable Guarantees ICML 2014
Saddle Points and Accelerated Perceptron Algorithms ICML 2014
Universal Matrix Completion ICML 2014
Exponential Family Matrix Completion under Structural Constraints ICML 2014
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014