Co-occurring keywords · papers mentioning both
Papers
Coordinate Descent with Bandit Sampling
NeurIPS 2018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
ICML 2018
Faster Training Algorithms for Structured Sparsity-Inducing Norm
IJCAI 2018
On Matching Pursuit and Coordinate Descent
ICML 2018
Revisiting Decomposable Submodular Function Minimization with Incidence Relations
NeurIPS 2018
SEGA: Variance Reduction via Gradient Sketching
NeurIPS 2018
Stochastic Spectral and Conjugate Descent Methods
NeurIPS 2018
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
IJCAI 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
NeurIPS 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization
ICML 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
JMLR 2017
Approximate Steepest Coordinate Descent
ICML 2017
Asynchronous Coordinate Descent under More Realistic Assumptions
NeurIPS 2017
Data sparse nonparametric regression with $ε$-insensitive losses
ACML 2017
Distributed Accelerated Proximal Coordinate Gradient Methods
IJCAI 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
ICML 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
NeurIPS 2017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
NeurIPS 2017
Faster Coordinate Descent via Adaptive Importance Sampling
AISTATS 2017
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization
IJCAI 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties
JMLR 2017
Improved Bounded Matrix Completion for Large-Scale Recommender Systems
IJCAI 2017
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
ACML 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
NeurIPS 2017
Safe Adaptive Importance Sampling
NeurIPS 2017