Sen Na | DeepAI

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∙ 05/28/2023

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching

We consider solving equality-constrained nonlinear, nonconvex optimizati...

0 Ilgee Hong, et al. ∙

∙ 11/29/2022

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems

We propose a trust-region stochastic sequential quadratic programming al...

0 Yuchen Fang, et al. ∙

∙ 05/27/2022

Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming

We apply a stochastic sequential quadratic programming (StoSQP) algorith...

0 Sen Na, et al. ∙

∙ 04/20/2022

Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence

We consider minimizing a smooth and strongly convex objective function u...

0 Sen Na, et al. ∙

∙ 09/23/2021

Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming

We study nonlinear optimization problems with stochastic objective and d...

0 Sen Na, et al. ∙

∙ 02/10/2021

An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians

We consider the problem of solving nonlinear optimization programs with ...

0 Sen Na, et al. ∙

∙ 07/03/2020

AEGCN: An Autoencoder-Constrained Graph Convolutional Network

We propose a novel neural network architecture, called autoencoder-const...

2 Mingyuan Ma, et al. ∙

∙ 05/14/2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control

We present an overlapping Schwarz decomposition algorithm for solving no...

0 Sen Na, et al. ∙

∙ 03/02/2020

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees

Graph representation learning is a ubiquitous task in machine learning w...

13 Sen Na, et al. ∙

∙ 01/11/2020

Superconvergence of Online Optimization for Model Predictive Control

We develop a one-Newton-step-per-horizon, online, lag-L, model predictiv...

0 Sen Na, et al. ∙

∙ 12/13/2019

Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming

In this paper, we study the sensitivity of discrete-time dynamic program...

0 Sen Na, et al. ∙

∙ 09/12/2019

Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity

Differential graphical models are designed to represent the difference b...

0 Sen Na, et al. ∙

∙ 11/30/2018

The Graph-based Broad Behavior-Aware Recommendation System for Interactive News

In this paper, we propose a heuristic recommendation system for interact...

0 Mingyuan Ma, et al. ∙

∙ 11/27/2018

High-dimensional Index Volatility Models via Stein's Identity

In this paper, we consider estimating the parametric components of index...

0 Sen Na, et al. ∙

∙ 10/16/2018

High-dimensional Varying Index Coefficient Models via Stein's Identity

We study the parameter estimation problem for a single-index varying coe...

0 Sen Na, et al. ∙

∙ 11/14/2017

Stochastic Strictly Contractive Peaceman-Rachford Splitting Method

In this paper, we propose a couple of new Stochastic Strictly Contractiv...

0 Sen Na, et al. ∙

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