conftrace_

coordinate descent

147 papers

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Also known as

CD

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) convergence rate (607) optimization algorithm (148) empirical risk minimization (352) l1 regularization (87) sparse optimization (246) linear convergence (158) feature selection (649) stochastic gradient descent (1091)

Papers

Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems ACML 2017
Data sparse nonparametric regression with $ε$-insensitive losses ACML 2017
Safe Adaptive Importance Sampling NIPS 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017
Asynchronous Coordinate Descent under More Realistic Assumptions NIPS 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization NIPS 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions NIPS 2017
Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NIPS 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NIPS 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems NIPS 2017
Approximate Steepest Coordinate Descent ICML 2017
Improved Bounded Matrix Completion for Large-Scale Recommender Systems IJCAI 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
Multiplicative Multitask Feature Learning JMLR 2016
Coordinate-wise Power Method NIPS 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016