Optimal Execution Strategy Under Price and Volume Uncertainty

MINLP to Support Plant Operators in Energy Flexibilization

Core-Selecting Stochastic Auctions

Communication Efficient Variants of SGD for Distributed Training

Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample

Stochastic Gradient Push for Distributed Deep Learning

A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization

On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models

Large-scale optimization of structured prediction models by inf-convolution smoothing of max-margin inference

A Semismooth Inverse Mapping Theorem via Tilt Stability and Its Applications in the Newton Method

On semismooth sets and mappings

On a semismooth Newton method for generalized equations

New SDP upper bounds for the maximum k-colorable subgraph problem

Convexification by means of monomial patterns

New Dependencies of Hierarchies in Polynomial Optimization

Recent progress in primal-dual algorithms for convex optimization

Self-concordance and matrix monotonicity with applications to quantum entanglement problem

On Sufficient and Necessary Conditions for Rank-1 Generatedness Property of Cones

Speeding up basis-pursuit denoise: hybrid quasi-Newton and beyond

A stochastic quasi-Newton extragradient method for nonsmooth nonconvex optimization

A hybrid semismooth quasi-Newton method for large-scale structured nonsmooth optimization

Performance estimation of stochastic first-order methods

Accelerated Proximal Point Method for Maximally Monotone Operators

On the Worst-Case of the Fixed-Step Gradient Method for Arbitrary Stepsizes

Direct search applied to computation of penetration depth between two polytopes arising from discretized geometry models

Kriging based optimization of a complex simulator with mixed variables: A randomized exploration of the categorical variables in the Expected Improvement sub-optimization

Optimization of district heating networks using a grey-box MINLP approach

Gaining and losing perspective

Handling separable non-convexities with disjunctive cuts

Random projections for quadratic optimization

Stability of the directional regularity

Directional Pareto efficiency

Directional minimality concepts in vector optimization

A Rewriting System for Convex Optimization Problems

Exploiting Circulant Properties of Matrices in Structured Optimization Problems

[moved] Minimizing Total Tardiness in a No-Wait Flowshop Scheduling Problem with Separate Setup Times with bounded Makespan

3D acoustic shape optimization including visco-thermal boundary-layer losses

A shape optimization algorithm for cellular composites

Shape optimization for interface identification in nonlocal models

A higher-order maximum principle for impulsive optimal control problem

On optimal control problems with irregular mixed constraints

Handling Uncertainty in Optimal Control

Economic Models with Nonlocal Operators

Controllability of fractional heat equations under positivity constraints

A nonlocal variational model in image processing associated to the spatially variable fractional Laplacian

Distributionally Robust Performance Analysis with Martingale Constraints

Distributional Robustness, Uniform Predictions, and applications in Machine Learning

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Using RO for Simulation Optimization using the Method of Types

The Supermodularity in Two-Stage Distributionally Robust Optimization

Beyond Worst Case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization

Distributionally Robust Linear and Discrete Optimization with Marginals

Robust risk aggregation with neural networks

Stability analysis of optimization problems with distributionally robust dominance constraints induced by full random recourse

An advanced initialization procedure for the simplex algorithm

Global Optimization for Sparse Solution of Least Squares Problems

Call Center's Optimization Problem

Regularized Tensor Methods for Minimizing Functions with Hölder Continuous Higher-Order Derivatives

Alternating Direction Method of Multipliers to Solve Two Continuous Models for Graph-based Clustering