We consider solving equality-constrained nonlinear, nonconvex optimizati...
We propose a trust-region stochastic sequential quadratic programming
al...
We apply a stochastic sequential quadratic programming (StoSQP) algorith...
We consider minimizing a smooth and strongly convex objective function u...
We study nonlinear optimization problems with stochastic objective and
d...
We consider the problem of solving nonlinear optimization programs with
...
We propose a novel neural network architecture, called
autoencoder-const...
We present an overlapping Schwarz decomposition algorithm for solving
no...
Graph representation learning is a ubiquitous task in machine learning w...
We develop a one-Newton-step-per-horizon, online, lag-L, model predictiv...
In this paper, we study the sensitivity of discrete-time dynamic program...
Differential graphical models are designed to represent the difference
b...
In this paper, we propose a heuristic recommendation system for interact...
In this paper, we consider estimating the parametric components of index...
We study the parameter estimation problem for a single-index varying
coe...
In this paper, we propose a couple of new Stochastic Strictly Contractiv...