math.OC

Provably training overparameterized neural network classifiers with non-convex constraints
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Gradient-Variation Bound for Online Convex Optimization with Constraints
Local AdaGrad-type algorithm for stochastic convex-concave optimization
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians
L-SVRG and L-Katyusha with Adaptive Sampling
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
A Fast Temporal Decomposition Procedure for Long-horizon Nonlinear Dynamic Programming
Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator