PGMODAYS 2026: PGMODAYS 2026

A
Affognon, Steeven Belvinos	Stochastic Inflows and Seasonal Water Value at Manantali
Agrachev, Andrei	Approximate Controllability of Volume-preserving Diffeomorphisms
Agrachev, Andrei	Second-order optimality conditions in geometric optimal control
Al Kostit, Malak	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
Alami Ouazzani, Asmae	Combining Optimal LEZ scheduling and EV Purchase Incentives for Transport Policy Backcasting
Aldea, Emanuel	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
Allamigeon, Xavier	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Andreeva, Ekaterina	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization
Andrianesis, Panagiotis	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
Anjos, Miguel	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
Antipov, Denis	Online Algorithm Selection: from Foundations to Applications
Araldo, Andrea	SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention Market Equilibrium based Co-Opetitive Infrastructure Sharing EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies Online Design of Dynamic Networks
Artigues, Christian	Piecewise linear approximation for the hydro unit commitment problem
Arvis, Hélène	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Arvy, Pierre	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Asmatullah, Laiba	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Aubin, Pierre-Cyril	Using statistical learning in Operations Research: Generalization Bounds and Diffusion Models
Auricchio, Gennaro	Aperiodic Tiling Rhythmic Canons
Azema, Mathis	Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables
B
Ballif, Guillaume	Stochastic analysis of an emergency service with two levels sharing the servers
Bavoil, Antonin	Generating electricity with a kite -- optimization and bifurcation analysis
Bazgan, Cristina	Parameterized Complexity for Segment Routing
Beaude, Olivier	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Ben Ahmed, Hamid	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Ben Salem, Adle	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
Bendotti, Pascale	Piecewise linear approximation for the hydro unit commitment problem Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
Benito, Inès	A Fresh Look at Lamarckian Evolution and the Baldwin Effect
Berg, Daniel	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback Simple Proofs, and How to Find Them
Bernardo Estévez, Laura	Optimal control under uncertainty for relative guidance during orbital rendezvous
Berterottière, Lucas	Lagrangian heuristic for a food lot-sizing problem
Berterottière, Lucas	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Bessin, Nicolas	Pricing for Deliveries Pooling
Bianchi, Pascal	Consensus-Based Optimization Beyond Finite-Time Analysis
Blavette, Anne	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation Online Combinatorial Learning with Causal Rescheduling for EV Charging
Bochkarev, Alexey	Quantum Approaches to Multi-Objective Optimization
Bokanowski, Olivier	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations
Bokanowski, Olivier	Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
Bolte, Jérôme	The adjoint state method for parametric definable optimization without smoothness or uniqueness Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
Bombardelli, Martin	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
Bonnet-Weill, Benoît	Quadratically Regularised Wasserstein Medians
Bouhtou, Mustapha	Combinatorial Optimization for Energy-Efficient In-Network Learning
Bouilloud, Marie	Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Bourreau, Eric	Quantum Genetic Algorithms for Combinatorial Optimization
Boutueil, Virginie	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
Bouvier, Louis	Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints
Boyer, Claire	Attention based mechanisms in clustering and PCA
Bresciano, Matias	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Brotcorne, Luce	Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
Brudner, Amir	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
Brunod Indrigo, Luca	Anchor Robustness and Resource Leveling in Project Scheduling
Buchheim, Christoph	Combinatorial Optimization in Function Space
Buchholtzer, Thomas	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
Bulaich Mehamdi, Abdellah	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
C
Caffier, François	Decomposition of Convex Large Scale Stochastic Optimization Problems
Calandrini, Enrico	BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods A New Bi-Objective View of Bundle Methods
Camilleri, Guy	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation Online Combinatorial Learning with Causal Rescheduling for EV Charging
Capgras, Justin	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Capitanescu, Florin	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Caputo, Jean Guy	Optimal Power flow in Transmission Networks: a Spectral Graph Theory approach
Cartis, Coralia	On Stochastic Nonconvex Bilevel Optimization
Carvalho, Margarida	Competitive Menu Pricing for Electric Vehicle Charging Stations
Cavarretta, Bastien	Black-box adversarial attacks on SPD Networks
Chahed, Tijani	Market Equilibrium based Co-Opetitive Infrastructure Sharing
Chakori, Haitam	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Charousset, Sandrine	Stochastic Inflows and Seasonal Water Value at Manantali
Chassagneux, Jean-François	Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
Chassagneux, Jean-François	Numerical bounds for European option prices in uncertainty volatility model
Chaufour, Pierre	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
Cheimonidis, Vasileios	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
Chen, Yiyuan	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Chiu, Carolina	Probability Maximization via Marginal Assesment of Joint Uncertainties
Chiu, Yu-Cheng	Geometric Routing in Geometric Inhomogeneous Random Graphs
Chopin, Morgan	Parameterized Complexity for Segment Routing
Chotard, Alexandre	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Chu, Yi	ProbLiM: A Julia Toolbox for Linear Problems with Chance Constraints
Chzhen, Evgenii	On convergence rates of subgradient descent on semialgebraic functions
Cohen, Samuel	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Colliard, Valentin	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Cortild, Daniel	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps On Stochastic Nonconvex Bilevel Optimization
Corvol, Nicolas	Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints
Cosson, Romain	Collective Algorithms for Exploration and Decision-Making
Costa, Luciano	Optimizing Hospital Procurement Decisions: The Case of a University Hospital
Cousinou, Axelle	Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
Cuenca, Juan J.	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
D
D'Ambrosio, Claudia	A mathematical programming formulation for generalized supply chains Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms Optimization of the energy consumption of buildings Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
Dahi, Zakaria Abdelmoiz	Quantum Approaches to Multi-Objective Optimization
Dalle, Guillaume	Pricing for Deliveries Pooling Solving Minimum-Cost Flows on GPUs
Dang, Nguyen	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
Daniels, Ezra	Scheduling of Nuclear Power Plant Outages under Duration Uncertainty
Datar, Mandar	Market Equilibrium based Co-Opetitive Infrastructure Sharing
David, Alexis	Decision-Focused Policies for Microgrid Energy Management
Davini, Andrea	From Random Games to Deterministic Limits: A Differential-Game Approach to Homogenization
De Carvalho, Nathan	Trading with market resistance and concave price impact
de Feo, Filippo	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
De Lara, Michel	What Makes Information More Valuable? An Answer With Convex Analysis
de Oliveira, Welington	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination Probability Maximization via Marginal Assesment of Joint Uncertainties ProbLiM: A Julia Toolbox for Linear Problems with Chance Constraints
de Surrel, Thibault	Black-box adversarial attacks on SPD Networks
Delannoy-Pavy, Solène	A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance
Delbos, Sébastien	Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
Demaria, Lorenzo	Surrogate-Based Optimization for Adversarial Sonar Placement
Demassey, Sophie	Spectral-Gauge Cuts for Semidefinite Optimization Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
Descormier, Natello	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Didier, Aussel	Computing Projected solutions of Nash games : from theory to electricity markets
Dieuleveut, Aymeric	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback Simple Proofs, and How to Find Them
Djete, Mao Fabrice	On the notion of Wasserstein BSDE and its applications
Doerr, Benjamin	A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh Full-Dimensional Many-Objective Benchmarks for Discrete Multi-Objective Optimization Specification of the GDEMO-II Variant for Box Archiving
Doerr, Carola	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning Online Algorithm Selection: from Foundations to Applications
Dragomir, Radu-Alexandru	Consensus-Based Optimization Beyond Finite-Time Analysis
Dupont-Bouillard, Alexandre	Graph powers for robust optimization
E
Edorh, Prince	Optimal control under uncertainty for relative guidance during orbital rendezvous
El-Yacoubi, Mounim	Online Design of Dynamic Networks
Elloumi, Sourour	Target-Volume Formulations in the Hydro Unit Commitment Problem
Elmoutassim, Moaad	Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh
Enaieh, Ikhlas	On the Explainability of Max-Plus Neural Networks
Ennaji, Hamza	Monotone Inclusions for Decision-Dependent Stochastic Problems
Esteve-Yagüe, Carlos	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations When does residual minimization solve a differential equation?
F
Fabi, Michele	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Fabi, Michele	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Fadili, Jalal	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
Fercoq, Olivier	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption Controlled Screening for Smooth Objectives On the Explainability of Max-Plus Neural Networks
Fermanian, Adeline	Lagrangian heuristic for a food lot-sizing problem
Ferrarini, Luca	Aperiodic Tiling Rhythmic Canons
Flayac, Emilien	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Fleury, Gerard	A mixer for minimization of function with constraint
Fouilhoux, Pierre	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Fournié, Michel	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Fraizier, Jules	Specification of the GDEMO-II Variant for Box Archiving
Frangioni, Antonio	BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods A New Bi-Objective View of Bundle Methods
Fricker, Christine	Stochastic analysis of an emergency service with two levels sharing the servers Large-Scale Analysis of Multi-Scale Queuing Networks for Car-Sharing Systems
Féraud, Raphaël	Online Combinatorial Learning with Causal Rescheduling for EV Charging
G
Gao, Yao	A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization
Garcia-Pedrero, Angel Mario	On the Explainability of Max-Plus Neural Networks
Garrigos, Guillaume	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps
Garrisi, Charles	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination
Gast, Nicolas	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Gaubert, Stéphane	Through the G-Polymatroid Glass and What Unit Commitment Finds There Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Gaujal, Bruno	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Geiersbach, Caroline	Adjoint-based Optimality Conditions for a Probability Maximization Problem
Gerbaux, Juliette	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Gervasi, Carlo Antonio Maria	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
Ghaddar, Bissan	Sparse Relaxations and Learned Structure for Large-Scale Polynomial Optimization Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
Giabicani, Eymeric	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Gicquel, Céline	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
Girardin, Oskar	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Glineur, François	Limited-Memory First-Order Methods and H-Duality Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
Goaoc, Xavier	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Goomanee, Salvish	A Unified alpha-Procrustes geometry for finite- and infinite-dimensional positive operators
Gorini, Luca	Topology optimization of PEMFC channels using a deshomogenization method
Goudiaby, Omar	Stochastic Inflows and Seasonal Water Value at Manantali
Gouffault, Emilien	A Branch&Check approach for Selecting Multi-Site Balancing Entities
Goujaud, Baptiste	Simple Proofs, and How to Find Them
Goyens, Florentin	Trust-region methods for Burer-Monteiro factorizations of phase retrieval problems
Grange, Camille	Aperiodic Tiling Rhythmic Canons
Gribonval, Rémi	Path-conditioned training: a principled way to rescale ReLU neural networks Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities
Grüne, Lars	Performance of Deterministic and Stochastic Model Predictive Control
Guillemin, Fabrice	Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting
Guo, Zihao	EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems
Gupta, Dhruv	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game
Gutiérrez Concha, Aldo	Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions
Guyon, Julien	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
Gérard, Garance	Combinatorial Optimization for Energy-Efficient In-Network Learning
H
Halffmann, Pascal	Quantum Approaches to Multi-Objective Optimization
Hallermeyer, Cyrian	Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
Hansen, Nikolaus	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Hayel, Yezekael	Competitive Menu Pricing for Electric Vehicle Charging Stations
Hebner, Jackson	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Heintzmann, Alexandre	Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
Henrion, Didier	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Henrion, Rene	Chance-constrained Linear Complementarity Problems
Hertz, Alain	A Clustered Team Orienteering Problem with Synchronization
Hihat, Massil	Pricing for Deliveries Pooling Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Horvath, Kea	Piecewise linear approximation for the hydro unit commitment problem
Hudry, Olivier	On the Complexity of some Unicity Problems
Hérissé, Bruno	Optimal control under uncertainty for relative guidance during orbital rendezvous
I
Iannelli, Andrea	opt-syn: Analysis and Synthesis of First-Order Algorithms
Iutzeler, Franck	Around distributional robustness and generalization in stochastic optimization
J
Jacquet, Quentin	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility Interior-point methods for large-scale equilibrium problems
Jakob, Fabian	opt-syn: Analysis and Synthesis of First-Order Algorithms
Janin, Jean-Marc	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Jauny,	Computing Projected solutions of Nash games : from theory to electricity markets
Jean, Frédéric	Optimal control under uncertainty for relative guidance during orbital rendezvous
Jimenez, Tania	Competitive Menu Pricing for Electric Vehicle Charging Stations
Jorquera-Bravo, Natalia	Matrix-based Scenario Aggregation for Two-Stage Stochastic Programs: From Partitions to Subspaces
K
Kaddah, Rim	Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
Kassaoui, Adil	Quantum Genetic Algorithms for Combinatorial Optimization
Kaufmann, Marc	Geometric Routing in Geometric Inhomogeneous Random Graphs
Kazandjian, Bettina	Approximate Controllability of Volume-preserving Diffeomorphisms
Kebe, Cheikh Mouhamed Fadel	Stochastic Inflows and Seasonal Water Value at Manantali
Kedad-Sidhoum, Safia	Target-Volume Formulations in the Hydro Unit Commitment Problem Combinatorial Optimization for Energy-Efficient In-Network Learning Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound Lagrangian heuristic for a food lot-sizing problem
Kedad-Sidhoum, Safia	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Ketels, Lucas	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps
Korda, Milan	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Koseoglu, Mesut Can	Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks
Krejca, Martin S.	Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh Full-Dimensional Many-Objective Benchmarks for Discrete Multi-Objective Optimization Specification of the GDEMO-II Variant for Box Archiving
Kronqvist, Jan	Surrogate-Based Optimization for Adversarial Sonar Placement
Kärrolm, Axel	Surrogate-Based Optimization for Adversarial Sonar Placement
L
Labbi, Safwan	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization
Lacomme, Philippe	A mixer for minimization of function with constraint
Lacomme, Philippe	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
Lafeuillade, Marguerite	Target-Volume Formulations in the Hydro Unit Commitment Problem
Lakis, Kostas	Geometric Routing in Geometric Inhomogeneous Random Graphs
Lambert, Amélie	Combinatorial Optimization for Energy-Efficient In-Network Learning Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Laporte, Michaël	Optimization of the energy consumption of buildings
Lavigne, Pierre	A conditional gradient approach to regularized mean field optimization problems
Lazarev, Alexey	Convergence rates for the moment-SoS hierarchy
Le, Phong	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
Le, Quoc Tung	Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
Le, Tam	Convergence of empirical subgradients for optimal transport-based objectives
Le Digabel, Sébastien	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
Le Franc, Adrien	Some curiosities about the convergence of the Moment-SOS hierarchy
Le Goff Latimier, Roman	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Le Riche, Rodolphe	On $\ell_0$-Regularized Sparse Multiple Kernel Learning for Feature Selection
Lebarbé, Charlie	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Lebeurrier, Arthur	Path-conditioned training: a principled way to rescale ReLU neural networks Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities
Leclere, Vincent	Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance
Legat, Benoît	Interior-point methods for large-scale equilibrium problems
Legros, Aymeric	A Clustered Team Orienteering Problem with Synchronization
Leloup, Baptiste	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Leroux, Baptiste	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
Lesage-Landry, Antoine	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
Liberti, Leo	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms Graph powers for robust optimization
Lindegaard, Tanguy	Statistics and optimization in intraday electricity markets
Lisser, Abdel	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA) Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
Little, Emily	A Branch&Check approach for Selecting Multi-Site Balancing Entities
Lété, Quentin	Interior-point methods for large-scale equilibrium problems
M
Ma, Rui	On $\ell_0$-Regularized Sparse Multiple Kernel Learning for Feature Selection
Madani, Raneem	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)
Magnouche, Ahlam	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization
Maillé, Patrick	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Malisani, Paul	Decomposition of Convex Large Scale Stochastic Optimization Problems Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting
Mangold, Paul	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization
Manso de Zuniga, Alexandre	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
Mansour, Rami	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
Marie, Alban	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
Marié, Alexandre	A Branch&Check approach for Selecting Multi-Site Balancing Entities
Martini, Mattia	On the notion of Wasserstein BSDE and its applications
Mathieu, François	Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
Maulen Soto, Rodrigo	Attention based mechanisms in clustering and PCA
Mayer, Alessa	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
Mendy, Pierre	Stochastic Inflows and Seasonal Water Value at Manantali
Menon, Govind	Implicit Bias of SGD for Overparametrized Models
Meoli, Donato	BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods
Mesnard, Alizée	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Meunier, Frédéric	Pricing for Deliveries Pooling Pricing for Real-Time Ride-Sharing with Random Demand and Supply Optimization of the energy consumption of buildings
Meynard, Charles	Learning controls in mean games and mean field control problems
Miller, Jared	opt-syn: Analysis and Synthesis of First-Order Algorithms
Mota, Cecília	Optimizing Hospital Procurement Decisions: The Case of a University Hospital
Motta, Michele	Second-order optimality conditions in geometric optimal control
Moulines, Eric	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization
Mucherino, Antonio	Graph powers for robust optimization
Mukhammadiev, Ilkhom	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
Mushiata Kibulu, Guy	Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh
Mussabayev, Ravil	Multimodal Optimization of K-means Clustering
Mussabayev, Rustam	Multimodal Optimization of K-means Clustering
N
Nakhla, Michel	Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Ndiaye, Babacar Mbaye	Stochastic Inflows and Seasonal Water Value at Manantali
Neto, Jose	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs
Nguyen, Tai	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
Nichterlein, André	Parameterized Complexity for Segment Routing
O
Oedingen, Marc	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Olsson, Mårten	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
Omont, Nicolas	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Osher, Stanley	When does residual minimization solve a differential equation?
Ouazzani Chahdi, Youssef	Trading with market resistance and concave price impact
Ouillon, Thomas	Stochastic Inflows and Seasonal Water Value at Manantali
Oumedjber, Younes Brahim	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
P
Pacaud, François	Interior-point methods for large-scale equilibrium problems
Pacaud, François	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination
Pagnoncelli, Bernardo	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
Papadimitriou, Dimitri	Quantum Computing for Integer Quadratic Programming
Parmentier, Axel	Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance
Pauwels, Edouard	The adjoint state method for parametric definable optimization without smoothness or uniqueness Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
Payen, Raphaël	Competitive Menu Pricing for Electric Vehicle Charging Stations
Pennanen, Teemu	Convex optimization in intraday electricity markets
Pennec, Julien	Competitive Menu Pricing for Electric Vehicle Charging Stations
Perrot, Nancy	Combinatorial Optimization for Energy-Efficient In-Network Learning
Peypouquet, Juan	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps On Stochastic Nonconvex Bilevel Optimization
Pfeiffer, Laurent	Decomposition of Convex Large Scale Stochastic Optimization Problems
Plaquevent-Jourdain, Baptiste	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
Poirion, Pierre-Louis	Matrix-based Scenario Aggregation for Two-Stage Stochastic Programs: From Partitions to Subspaces
Pontes, Lara	Optimizing Hospital Procurement Decisions: The Case of a University Hospital
Porumbel, Daniel	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Priser, Victor	Consensus-Based Optimization Beyond Finite-Time Analysis
Pérez-Aros, Pedro	Probability Maximization via Marginal Assesment of Joint Uncertainties
Q
Quezada, Franco	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
R
Rakoto Endor, Faniriana	Benign Landscape Of Nonconvex Low-dimensional Relaxation Of Orthogonal Synchronization With Group-symmetric Dual Certificates
Reisinger, Christoph	Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
Reulke, Anne	A New Solution Concept for Games Allowing for Infeasibility
Rey, David	Robotaxi Dispatching with Endogenous En-route Times
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