Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Distributed Coordinate Descent Method for Learning with Big Data
Parallel Coordinate Descent Methods for Big Data Optimization
convex optimization for big data : scalable , randomized , and parallel algorithms for big data analytics .
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
A coordinate gradient descent method for ℓ1-regularized convex minimization
Optimization Methods for Large-Scale Machine Learning
A Comparison of Lasso-type Algorithms on Distributed Parallel Machine Learning Platforms
Accelerated Mini-batch Randomized Block Coordinate Descent Method
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
A stochastic coordinate descent primal-dual algorithm and applications
Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
On the Convergence of Decentralized Gradient Descent
Stochastic, Distributed and Federated Optimization for Machine Learning
Let ’ s Make Block Coordinate Descent Go Fast !
Broadcast-based distributed alternating direction method of multipliers
A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
Memory-Efficient Adaptive Optimization for Large-Scale Learning
Sparse Online Learning via Truncated Gradient
Accelerated Gradient Method for Multi-task Sparse Learning Problem
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies
Joint auto-encoders: a flexible multi-task learning framework
Quality of life in patients with severe malocclusion before treatment.
Correlation filters with limited boundaries