Simultaneous Direct Approaches for Inverse Optimal Control Problems and Their Application to Model-Based Analysis of Cerebral Palsy Gait

Solution and Sensitivity Generation for Differential Equations with State-Dependent Switches -- an Application-Oriented Approach

Kinetic Parameter Estimation Based on Spectroscopic Data and Its Application to Drug Manufacturing Processes

Multi-composite Nonconvex Optimization for Learning Deep Neural Network

A majorized proximal point dual Newton algorithm for nonconvex statistical optimization problems

Distributed inference over networks: geometrically convergent algorithms and statistical guarantees

Landscape of Over-parameterized Networks

On the convergence of a class of adam-type algorithms for non-convex optimization

Optimization for GANs via Sliced Distance

Constructing and analyzing sufficient matrices

Interior point algorithms for general linear complementarity problems

On sufficient properties for sufficient matrices

Linear-quadratic multi-leader-follower games in Hilbert spaces

Algorithms for generalized Nash games in semi-infinite programming

Algorithms for Flowpipe Approximation using Sum-of-Squares

Computing polynomial controlled invariant sets using Sum-of-Squares Programming

Nonsymmetric conic optimization algorithms and applications

Polyhedral Approximations of the Semidefinite Cone and Their Applications

A centering ADMM for SDP and its application to QAP

A Cone Decomposition Method with Sparse Matrix for Mixed-Integer SOCP problem

Quantum graph parameters and noncommutative polynomial optimization

Compatibility of quantum measurements and inclusion constants for free spectrahedra

Polynomial optimization on the sphere and entanglement testing

A globalized semismooth Newton method for nonsmooth nonconvex optimization

Quadratic convergence of SQP-like methods for convex-composite optimzation

On the Fenchel conjugate of convex-composite functions

Extensions of the randomized Kaczmarz method: sparsity and mismatched adjoints

A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints

Minibatch stochastic first order methods for convex optimization

Dimensionality reduction techniques for global optimization

Manifold Sampling for Composite Nonconvex Nonsmooth Optimization

The use of second order cone programs in constrained derivative-free optimization

A multi-objective optimal design of experiments framework for online model identification platforms

Inverse multiobjective optimization: Inferring decision criteria from data

A Generalized Nash Game for Computation Offloading

Analysis of the BFGS Method with Errors

Newton-MR: Newton's Method Without Smoothness or Convexity

NonOpt: Nonsmooth Optimization Solver

A method for degenerate convex quadratic programming

Newton-like approaches for approximately solving systems of nonlinear equations arising in interior-point methods

Experimental results with Algorithm NCL for constrained optimization

Discrete material optimization for the wave equation

Domain decomposition of systems of hyperbolic equations

Penalty-approaches for partial minima in mixed-integer optimal control

HJB approach to optimal control problems with free initial conditions

Optimal control of diseases in jailed populations

Links between sustainability standards, maximin, and viability: methods and applications

Bilevel Optimal Parameters Selection in Nonlocal Image Denoising

Several Applications of Bilevel Programming in Image Processing

Generating structure non-smooth priors for image reconstruction

Sparse optimal control for a nonlinear parabolic equation with mixed control-state constraints

AFEM for quasilinear magnetostatic phenomena

Hyperbolic Maxwell variational inequalities of the second kind

First-order methods for solving robust optimization problems

Solving hard non-robust optimization problems by Robust Optimization

Data-Driven Two-Stage Linear Optimization: Feasibility and Approximation Guarantees

New Results for Contextual Stochastic Optimization

Wasserstein distributionally robust two-stage convex optimization with discrete uncertainty

A Semidefinite Programming Based Kernel Clustering Algorithm for Gaussian Mixture Models with Outliers

Inconsistent Nonconvex Feasibility: algorithms and quantitative convergence results

Novel Proximal Gradient Methods for Sparsity Constrained Nonnegative Matrix Factorization

Recent Advances in Proximal Methods for Composite Minimization

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning

On Generalized Bellman Equations and Temporal-Difference (TD) Learning for Policy Evaluation in MDPs

Global Convergence of Policy Gradient Methods: A Nonconvex Optimization Perspective