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Stream 1a: Nonlinear Programming I
WC829 — Nonlinear Programming I 3
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Analysis of Optimization Methods via non-convex Performance Estimation
Nizar Bousselmi, Uclouvain -
Stochastic ISTA/FISTA Adaptive Step Search Algorithms for Convex Composite Optimization
Huyen Trang Tran, Cornell University -
Numerical design of optimized first-order methods
Yassine Kamri, Uclouvain
Stream 1c: Nonsmooth Optimization
WC45 — Large-scale Iterative Optimization
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Improving the Geometry of (Conic) Linear Optimization Problems for the Primal-Dual Hybrid Gradient Method (PDHG)
Robert Freund, MIT Sloan School Of Management -
The role of sparsity in differentially-private optimization
Cristóbal Guzmán, Pontificia Universidad Catolica De Chile -
Density Separation with Tensor Factorization
Naomi Graham, University of British Columbia
Stream 1d: Semi-Definite Programming
WC835 — Semi-Definite Programming 2
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Minimal Sparsity for Second-Order Moment-SOS Relaxations of the AC-OPF Problem
Manuel Ruiz, RTE France -
Rational Dual Certificates for Weighted Sums-of-Squares Polynomials: Algorithms and Complexity Bounds
David Papp, North Carolina State University
Stream 1g: Derivative-free and Simulation-based Optimization
WC323 — Recent Progresses in DFO 2
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Improving MADS search step with a quadratic programming solver
Christophe Tribes, Polytechnique Montréal -
Advancing derivative-free optimization: exploring logarithmic barrier and exterior penalty in direct search
Andrea Brilli, Sapienza University of Rome -
A hybrid direct search and projected simplex gradient method for convex constrained optimization
Ana Luisa Custodio, Nova School Of Science And Technology
Stream 2a: Mixed Integer Linear Programming
WC160 — Network Design
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ML-based Algorithm for Solving the Transmission Network Expansion Planning Problem
Pablo Felipe Oteíza, University of Santa Maria Chile -
Optimizing Electric Vehicle Fleet Operations for Sustainable Last-mile Delivery Under Uncertainty
Jaehee Jeong, Ivey Business School -
Discrete Location Problem with Probabilistic Service Level Constraints
Navneet Vidyarthi, Concordia University And Cirrelt
Stream 2b: Mixed Integer Nonlinear Programming
WC346 — MINLP meets Machine Learning
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Outlier Detection in Regression: Conic Quadratic Formulations
José Neto, Télécom Sudparis, Institut Polytechnique De Paris -
Optimization over trained graph neural networks: mixed-integer formulations, symmetry breaking, and optimal molecular design
Shiqiang Zhang, Imperial College London -
ML-based Clique Merging Algorithms to Solve Semidefinite Relaxations of Optimal Power Flow Problems
Emiliano Traversi, Université De Montpellier
Stream 2c: Combinatorial Optimization and Graph Theory
WC353 — Combinatorial Optimisation
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Recent heuristic development for the quadratic knapsack problem
Franklin Djeumou Fomeni, UQAM -
Critical infrastructures location via submodular maximization
Fabio Furini, Sapienza University of Rome -
Processual programming - Using business process models to formulate mathematical programs
Asvin Goel, Kühne Logistics University
Stream 2d: Machine Learning and Discrete Optimization
WC203 — Machine Learning and Combinatorial Optimization
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Valid Inequalities for Verification of Binarized Neural Networks
Jim Luedtke, University of Wisconsin Madison -
Slimming down and beefing up: MILP Multi-Objective Optimization and Training for Few-Bit Neural Networks
Simone Milanesi, University of Pavia -
Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
Bartolomeo Stellato, Princeton University
Stream 2f: Computational Discrete and Integer Optimization
WC266 — Certified Optimization
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An SMT-based checker for VIPR certificates of MILP results
Jonad Pulaj, Davidson College -
Certificates of Correctness for Presolving Binary Programs
Alexander Hoen, Zuse Institute Berlin -
The Four-Color Ramsey Multiplicity of Triangles
Aldo Kiem, Zuse Institute Berlin, Technische Universität Berlin
Stream 2g: Constraint Programming
WC241 — CPAIOR at ISMP: Mathematical Programming, Constraint Programming, and Hybrid Methods
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A reinterpretation of cutting planes
John Hooker, Carnegie Mellon University -
A Constraint-Programming-Based Branch-and-Check Approach for Stochastic Consistent Home Health Care Routing and Scheduling Problem
Seyede Saeede Hosseini, Polytechnique Montreal -
C++DDOpt : A Modeling and Solving Interface for Decision Diagram-based Optimization.
Laurent Michel, U. Of Connecticut
Stream 3a: Continuous Stochastic Programming
WC258 — Theory and Algorithms for Chance Constrained Optimization
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Joint chance-constrained optimization with continuous distributions
Daniela Bernhard, Friedrich Alexander Universität Erlangen Nürnberg -
Self-Structured Importance Sampling for Chance-Constrained Optimization
Sai Rakshith, PSG College Of Technology -
Chance-Constrained Optimization for Uncertain Contact-Rich Systems
Yuki Shirai, Mitsubishi Electric Research Laboratories
Stream 3d: Multi-stage Stochastic Programming and Reinforcement learning
WC328 — Advances in Multi-stage Stochastic Programming and Reinforcement learning
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Policy Mirror Descent Inherently Explores Action Space
Yan Li, Georgia Institute of Technology -
Nonconvex Landscape of Policy Optimization for A Class of Finite Horizon Markov Decision Processes and Applications in Operations Models
Xin Chen, Georgia Institute of Technology -
Adversarially Robust Optimal Control with Causal Transport Distance
Yizhe Huang, University of Texas at Austin
Stream 4a: Networks and Telecom
WC212 — Telecommunication Network Optimization
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Robust optimization for the Segment Routing Traffic Engineering Problem
Bernard Fortz, HEC Liège Management School Of The University of Liège -
Joint Optimization of inter- and intra-frequency events in Multi-Carrier Scenarios with UE Mobility in Radio Networks
Pegah Alizadeh, Ericsson Research Center Paris -
Stochastic Lagrangian-based method and application to multi-constrained network design
Dimitri Papadimitriou, ULB
Stream 3e: Data-driven optimization
WC867 — Data-driven optimization 2
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Metric Learning to Accelerate Convergence of Operator Splitting Methods
James Kotary, University of Virginia -
It's All in the Mix: Wasserstein Machine Learning with Mixed Features
Mohammad Reza Belbasi, Imperial College London -
Differentially Private Linear Optimization for Multi-Party Resource Sharing
Nursen Aydin, Associate Professor
Stream 4d: Energy and Environment
WC171 — Optimization of Energy Communities
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Optimal Participation of Energy Communities in Electricity Markets under Uncertainty. A Multi-Stage Stochastic Programming Approach
Albert Solà Vilalta, Polytechnic University of Catalonia -
Hierarchical optimization of cooperative distributed energy resource aggregations in power distribution systems
Loreley Sepho, Student -
Interdependent Network Optimization Modelling for Energy Network Design to Support Post Disaster Services
Kristen Schell, Carleton University
Stream 5c: Special sessions
WC81 — In memory of Jean-Louis Goffin 3: A tribute to J-L Goffin's academic influence
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The value of structure and decomposition in large scale optimization
Fatma Gzara, University of Waterloo -
Beyond Academia: Remembering the Human Essence of a Great Scholar
Mohammad Oskoorouchi, CSUSM -
The power transition: optimization meets policy
Michel Denault, HEC Montréal -
An Analytic Center self-Concordant Cut method for the Convex Feasibility Problem
Faranak Mokhtarian, John Abbott College
WC819 — Wednesday
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