Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Nonconvex optimization by fast simulated annealing
Algorithms and matching lower bounds for approximately-convex optimization
Stochastic Optimization Using a Trust-Region Method and Random Models
The BOBYQA algorithm for bound constrained optimization without derivatives
Communication Complexity of Distributed Convex Learning and Optimization
Introductory lectures on stochastic optimization
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization
DC Proximal Newton for Nonconvex Optimization Problems
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Low-rank optimization with convex constraints
Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
A coordinate gradient descent method for ℓ1-regularized convex minimization
On the convergence of stochastic bi-level gradient methods
iteration complexity of feasible descent methods for convex optimization .
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization
Viden: Attacker Identification on In-Vehicle Networks
A Hybrid Approach to Segmentation of Diseased Lung Lobes
Stochastic synapse reinforcement learning (SSRL)
Mining massive fine-grained behavior data to improve predictive analytics
Logarithmic regret algorithms for online convex optimization