Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Geometric descent method for convex composite minimization
A geometric alternative to Nesterov's accelerated gradient descent
First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
A Variational Perspective on Accelerated Methods in Optimization
On the convergence of stochastic bi-level gradient methods
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Stochastic Convex Optimization with Multiple Objectives
Optimizing Star-Convex Functions
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems
Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity
A Combinatorial, Primal-Dual Approach to Semidefinite Programs
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization
Distributed Optimization Using the Primal-Dual Method of Multipliers
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
An accelerated gradient method for trace norm minimization
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Nonconvex optimization by fast simulated annealing
Fast Approximation Algorithms for a Class of Non-convex QCQP Problems Using First-Order Methods
Dynamic Programming with Convexity, Concavity, and Sparsity
Context-driven Business Process Modelling
PCGAN: Partition-Controlled Human Image Generation
a fast iterative shrinkage - thresholding algorithm for linear inverse problems .
Hyper-parameter selection in non-quadratic regularization-based radar image formation
Distance based modeling of interactions in structured regression