Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: On the Generalization Ability of Online Strongly Convex Programming Algorithms
Logarithmic regret algorithms for online convex optimization
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization
Accelerated gradient methods for stochastic optimization and online learning
Self-scaled conjugate gradient training algorithms
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms.
Accelerated, Parallel and Proximal Coordinate Descent
Distributed Optimization of Convex Sum of Non-Convex Functions
linear convergence of gradient and proximal - gradient methods under the polyak - łojasiewicz condition .
A New Approach to Strongly Polynomial Linear Programming
A coordinate gradient descent method for ℓ1-regularized convex minimization
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
Accelerated Alternating Direction Method of Multipliers
A randomized Kaczmarz algorithm with exponential convergence
On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
The Asynchronous PALM Algorithm for Nonsmooth Nonconvex Problems
Optimal Algorithms for Distributed Optimization
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Large Margin Methods for Structured and Interdependent Output Variables
Data Driven Analysis on the Effect of Online Judge System
Classifying medical notes into standard disease codes using Machine Learning
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
artificial intelligence and deep learning - radiology ' s next frontier ? .