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