A Game Theoretical Approach for Improving the Operational Efficiencies of Less-than-truckload Carriers Through Load Exchanges

Decision support for ship routing in dynamic and stochastic ice conditions

Ordering from Capacitated Suppliers under Cycle Time Limitation

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms

LAG: Lazily Aggregated Gradient is Communication-Efficient in Distributed and Decentralized Optimization

Algorithmic approaches for Nonparametric Function estimation with Shape Constraints

Learning Hierarchical Interactions at Scale

Human Activity Recognition using Intuitionistic Fuzzy Proximal Support Vector Machines

Online Optimization for Time Series of Parametrizable Objective Functions

A data-driven model-based method for quantitative MRI

Approximation of Nash equilibria via continuous optimization

Simulating electrical circuits with diodes and transistors

An Exact Penalty Method over Discrete Sets

A conic-bundle approach to solve semidefinite relaxations of Alternating Current Optimal Power Flow problems

Exploiting Completely Positive Projection Heuristics

Nonnegative matrix factorization over polynomial signals via a sum-of-squares approach

Noisy Euclidean Distance Matrix Completion with A Single Missing Node

An adaptive LP-Newton method for second-order cone optimization

Exact relaxations of non convex trust region subproblems with an additional quadratic constraint.

Higher-Order Cone Programming

The cyclic Douglas–Rachford algorithm with r-sets-Douglas–Rachford operators

Combining duality and splitting proximal point methods

A Stochastic Primal Dual Fixed Point Method for Composited Convex Optimization

Bi-objective simulation optimization on integer lattices using the epsilon-constraint method in a retrospective approximation framework

A global optimization approach for solving non-monotone equilibrium problems

[moved] Optimal stochastic gradient-free methods with inexact oracle

The proximal gradient method for the subproblem of trust region method

Firm expansion: how to invest? A MINLP model and B\&B and heuristic procedures to deal with it

Parameter estimations of finite mixture models with particular optimization tools

Cutting planes for robust multi-objective optimization

Multiobjective Optimization Under Uncertainty: A Robust Regret Approach

Q-Stochastic Gradient Descent: a New Stochastic First-Order Method for Ordered Empirical Loss Minimization

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

A Doubly-Randomized Block-Coordinate Primal-Dual Method for Large-scale Convex-Concave Saddle Point Problems: Acceleration via Variance-Reduction

Elementary proofs of a Karush-Kuhn-Tucker Theorem

Amenable cones, error bounds and algorithms

Sequential optimality conditions for mathematical problems with complementarity constraints

An Inexact Proximal Point Method for Multiobjective Optimization on Riemannian Manifolds

Accelerated proximal-type method for DC functions in Hadamard manifolds

Gradient Method for Optimization on Riemannian Manifolds with Lower Bound Curvature

Multiphase Mixed-Integer Nonlinear Optimal Control of Hybrid Electric Vehicles

Mixed Integer PDE-constrained optimization with scalable software

Mixed-Integer PDE Constrained Optimization for Design of Electromagnetic Cloaking

A primal-dual algorithm for convex nonsmooth optimization on Riemannian manifolds

Bilevel optimization in imaging with application to fingerprint analysis

The convex geometry of matrix completion

Optimal Neumann boundary control of the vibrating string with uncertain initial data

Risk-Averse Control of Fractional Diffusion

PDE-constrained optimization under uncertainty using a quasi-Monte Carlo method

Distributionally robust multi-objective optimization

Robust Active Preference Learning

Robust Optimization for Response Supply Chain Design Against Bioattacks

Fast Gradient Methods for Symmetric Nonnegative Matrix Factorization

A Tractable ADMM Scheme for Computing KKT Points and Local Minimizers for l0 Minimization Problems

Minimizers in Robust Regression Adjusted for Sparsity

On the interplay between generalized concavity and chance constraints

Generalized gradients for probabilistic/robust (probust) constraints