Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox
AIDE: Fast and Communication Efficient Distributed Optimization
Communication Complexity of Distributed Convex Learning and Optimization
Adaptive subgradient methods for online learning and stochastic optimization
A delayed proximal gradient method with linear convergence rate
amortized proximal optimization .
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Stochastic Gradient Push for Distributed Deep Learning
An augmented Lagrangian method for distributed optimization
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Sparsified SGD with Memory
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization
Semi-proximal Mirror-Prox for Nonsmooth Composite Minimization
Communication-Efficient Distributed Dual Coordinate Ascent
Variance Reduction for Stochastic Gradient Optimization
Fast asynchronous parallel stochastic gradient descent: a lock-free approach with convergence guarantee
Control approach to distributed optimization
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
A Scalable Global Model for Summarization
LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus
Communication Complexity of Distributed Convex Learning and Optimization
Traffic Modeling and prediction using ARIMA/GARCH model
Learning and transferring movie styles