PGMODAYS 2023: PGMODAYS 2023

A
Abbasi, Malek	Beyond the Fermat Optimality Rules
Absi, Nabil	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
Adje, Assale	Maximum of Reachable Values of Discrete-Time Systems
Adly, Samir	First order inertial optimization algorithms with threshold effects associated with dry friction
Ajami, Mohammad	Moving Horizon Estimation for Anesthesia dynamics
Akhriev, Albert	Quantum Contextual Optimal Transport
Akian, Marianne	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Alamir, Mazen	Moving Horizon Estimation for Anesthesia dynamics
Allaire, Grégoire	Accessibility Constraints in Shape Optimization
Altman, Eitan	Fisher Market Model based Resource Allocation for 5G Network Slicing
Alès, Zacharie	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
Anderson, Eddie	Improving stochastic control by ignoring randomness
Andrianesis, Panagiotis	Optimal Price Menu Design of Electric Vehicle Charging Stations
Angel, Eric	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Anjos, Miguel F.	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
Appriou, Tanguy	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Ardant, Thibaud	Classic-inspired quantum generation scheme for the parallel sequencing problem
Arslan, Ayse-Nur	Safe Peeling for L0-Penalized Problems Screen & Relax for Sparse Support Identification
Attouch, Hedy	First order inertial optimization algorithms with threshold effects associated with dry friction
Aubin-Frankowski, Pierre-Cyril	Gradient descent with a general cost
Aubouin-Pairault, Bob	Moving Horizon Estimation for Anesthesia dynamics
B
Baiou, Mourad	Proportional Fairness for Multi-Objective Optimization A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem
Ballasheni, Erison	The controller placement problem
Bambade, Antoine	QPLayer: efficient differentiation of convex quadratic optimization
Baty, Léo	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Beck, Yasmine	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems
Bellè, Andrea	Column Generation Approaches for the Satellites Constellation Design Problem
Ben Ahmed, Hamid	Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Ben Jedidia, Firas	Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
Ben-Ameur, Walid	The No-Meet Matroid
Bendotti, Pascale	Classic-inspired quantum generation scheme for the parallel sequencing problem
Benjamin, Katherine	Topology of spatiotemporal trajectories
Bentoumi, Isma	Integer linear formulations for the maximum flow blocker problem
Bertsimas, Dimitris	Decarbonizing OCP
Bhulai, Sandjai	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
Biallach, Hanane	The Virtual Network Function Reconfiguration Problem
Biau, Gérard	Physics-informed neural networks, PDE solving, hybrid modeling
Bihr, Martin	Accessibility Constraints in Shape Optimization
Bissuel, Côme	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
Bittar, Thomas	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Blanquero, Rafael	Optimal Trees and Multivariate Functional Data
Blavette, Anne	Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Blondel, Mathieu	Learning Energy Networks with Generalized Fenchel-Young Losses
Blondel, Mathieu	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Blondel, Mathieu	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Bogosel, Beniamin	Accessibility Constraints in Shape Optimization
Bokanowski, Olivier	Neural networks for deterministic two-player games
Born, Jannis	Quantum Contextual Optimal Transport
Bouhtou, Mustapha	The Virtual Network Function Reconfiguration Problem
Bourdais, Thibaut	An entropy penalized approach for stochastic optimal control problems
Bouvier, Louis	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Bouza Allende, Gemayqzel	CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
Boyer, Claire	Physics-informed neural networks, PDE solving, hybrid modeling
Brichet, Mathis	Renault's Forward Logistic Problem
Brotcorne, Luce	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
Bréal, Jean-Baptiste	Optimal Price Menu Design of Electric Vehicle Charging Stations
C
Camilleri, Guy	Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Carlier, Guillaume	Displacement smoothness of entropic optimal transport and applications
Carlinet, Yannick	Latency-Sensitive Service Chaining with Security Isolation Constraints
Carpentier, Justin	QPLayer: efficient differentiation of convex quadratic optimization
Carpentier, Pierre	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Carrizosa, Emilio	Optimal Trees and Multivariate Functional Data
Chambolle, Antonin	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Chancelier, Jean-Philippe	Algorithms in Generalized Convexity
Chancelier, Jean-Philippe	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty Mirror Descent Algorithm in Generalized Convexity Abstract Cutting Plane Method applied to Sparse Optimization
Chizat, Lénaïc	Displacement smoothness of entropic optimal transport and applications
Chouzenoux, Emilie	Variational inference with λ-exponential families
Chouzenoux, Emilie	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
Chu, Feng	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Chwialkowski, Marcel	Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark
Clément, François	Optimal sets for the L-infinity star discrepancy
Cory-Wright, Ryan	Decarbonizing OCP
Couthures, Anthony	A Planning Game for Global Decarbonization Strategies Optimal Carbon Pricing Based on Dynamical Climate Model
Cui, Shisheng	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
D
D'Ambrosio, Claudia	Using regression splines to approximate mixed integer nonlinear optimization models
Dadashi, Robert	Learning Energy Networks with Generalized Fenchel-Young Losses
Dalle, Guillaume	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Dang, Thao	Moving Horizon Estimation for Anesthesia dynamics
Dao, Minh N.	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
Datar, Mandar	Fisher Market Model based Resource Allocation for 5G Network Slicing
Daudin, Samuel	On the Optimal Rate for the Convergence Problem in Mean-Field Control
De Lara, Michel	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty Algorithms in Generalized Convexity Mirror Descent Algorithm in Generalized Convexity Abstract Cutting Plane Method applied to Sparse Optimization
de Oliveira, Welington	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals
Delarue, François	On the Optimal Rate for the Convergence Problem in Mean-Field Control
Delplancke, Claire	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Demassey, Sophie	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Didier, Aussel	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints Multidimensional analysis for the techno-economic study of the CSP plant CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
Dieuleveut, Aymeric	Provable non-accelerations of the heavy-ball method
Digalakis Jr, Vassilis	Decarbonizing OCP
Dinot, Matthieu	Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Djolonga, Josip	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Doerr, Benjamin	Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem Fast Biased Random Key Genetic Algorithm in Target Set Selection Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Doerr, Carola	Per-Class Algorithm Selection for Black-Box Optimisation Optimal sets for the L-infinity star discrepancy
Doumèche, Nathan	Physics-informed neural networks, PDE solving, hybrid modeling
Drobinski, Philippe	Integration of climate variability and climate change in renewable energy planning
Dumas, Annette	Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting
Dupont, Alix	Optimal Price Menu Design of Electric Vehicle Charging Stations
E
Ehrhardt, Matthias J.	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Elghandouri, Mohammed	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
Elloumi, Sourour	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids Optimizing Variational Circuits for Higher-Order Binary Optimization
Elvira, Clément	Safe Peeling for L0-Penalized Problems Screen & Relax for Sparse Support Identification
Elvira, Víctor	Variational inference with λ-exponential families
Emine, Youssouf	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Escribe, Celia	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Essafri, M'Hamed	The l0 Bregman Relaxation
Ezzinbi, Khalil	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
F
Fercoq, Olivier	Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes The Smoothed Duality Gap as a Stopping Criterion
Fest, Jean-Baptiste	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
Festa, Adriano	Hybrid games in route planning for sailing vessels and their mean field limit
Floquet, Julien	Column Generation Approaches for the Satellites Constellation Design Problem
Fornier, Zoé	Accommodating fairness in a shared-energy allocation problem with uncertainties
Frangioni, Antonio	Parallel approaches to large-scale stochastic energy system design problems
Freitas Paulo Da Costa, Bernado	Duality of upper bounds in stochastic dynamic programming
Fricker, Christine	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing
Furini, Fabio	Integer linear formulations for the maximum flow blocker problem
Féraud, Raphaël	Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
G
Gagneux, Anne	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
Garnier, Josselin	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Gaubert, Stéphane	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Gaudrie, David	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Gayon, Jean-Philippe	Pickup and Delivery Problem with Cooperative Robots
Geiersbach, Caroline	A control problem with random state constraints in probabilistic and almost-sure form
Geist, Matthieu	Learning Energy Networks with Generalized Fenchel-Young Losses
Gelareh, Shahin	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks Neural Benders Decomposition for Mixed Integer Programming
Gendreau, Michel	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
Gianatti, Justina	Approximation of deterministic mean field games
Gobet, Emmanuel	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Godoy, Matias	Accessibility Constraints in Shape Optimization
Goemans, Michel	Submodular Functions on Modular Lattices
Gomez, Andres	Outlier Detection in Regression: Conic Quadratic Formulations
Gonzalez Venegas, Felipe	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
Goujaud, Baptiste	Provable non-accelerations of the heavy-ball method
Grad, Sorin-Mihai	Beyond the Fermat Optimality Rules
Griset, Rodolphe	Classic-inspired quantum generation scheme for the parallel sequencing problem
Guerrero, Vanesa	Using regression splines to approximate mixed integer nonlinear optimization models
Guilmeau, Thomas	Variational inference with λ-exponential families
Guyard, Théo	Safe Peeling for L0-Penalized Problems Screen & Relax for Sparse Support Identification
Göttlich, Simone	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
H
Hadj-Hamou, Khaled	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Hall, Julian	A new interior point solver for HiGHS
Hayel, Yezekael	Optimal Price Menu Design of Electric Vehicle Charging Stations
Hennebelle, Ulysse	Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Henrion, Rene	A control problem with random state constraints in probabilistic and almost-sure form
Herzet, Cédric	Safe Peeling for L0-Penalized Problems Screen & Relax for Sparse Support Identification
Hornewall, Jonathan	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
Hussenot, Leonard	Learning Energy Networks with Generalized Fenchel-Young Losses
Huynh, Van Ngai	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
I
Ickstadt, Constantin	Semidefinite Games
Ivan, Tudor	An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II
J
Jackson, Joe	On the Optimal Rate for the Convergence Problem in Mean-Field Control
Janin, Jean-Marc	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Javal, Paul	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Jimenez, Tania	Optimal Price Menu Design of Electric Vehicle Charging Stations
Jorquera, Natalia	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids
Juan, Olivier	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
K
Kedad-Sidhoum, Safia	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization Optimal Allocation for a Fair Distribution of Green Energy in Microgrids
Keehan, Dominic	Improving stochastic control by ignoring randomness
Keller, Merlin	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Klamroth, Kathrin	Optimal sets for the L-infinity star discrepancy
Koskin, Eugene	Quantum Contextual Optimal Transport
Krejca, Martin S.	Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem Fast Biased Random Key Genetic Algorithm in Target Set Selection
Kumar, Akshat	Mean-field games among teams
Kumbria, Kristina	The Virtual Network Function Reconfiguration Problem
Kushik, Natalia	The No-Meet Matroid
L
Laborde, Maxime	Displacement smoothness of entropic optimal transport and applications
Lacroix, Mathieu	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Lan, Leon	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
Lasaulce, Samson	A Planning Game for Global Decarbonization Strategies Optimal Carbon Pricing Based on Dynamical Climate Model
Lasluisa, Daniel	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints Multidimensional analysis for the techno-economic study of the CSP plant
Lavigne, Pierre	A Mean-Field Game Model for Energy Transition
Le, Manh Hung	First order inertial optimization algorithms with threshold effects associated with dry friction
Le Franc, Adrien	Minimal Sparsity for Scalable Moment-SOS Relaxations of the AC-OPF Problem Mirror Descent Algorithm in Generalized Convexity
Le Riche, Rodolphe	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Le Roux, Joseph	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Leclere, Hugo	A Mean-Field Game Model for Energy Transition
Leclere, Vincent	Accommodating fairness in a shared-energy allocation problem with uncertainties Duality of upper bounds in stochastic dynamic programming
Lepaul, Sebastién	CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
Liu, Huikang	Differential Privacy via Distributionally Robust Optimization
Liu, Junqi	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
Liu, Shanqing	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Ljubic, Ivana	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems
Llinares-Lopez, Felipe	Learning Energy Networks with Generalized Fenchel-Young Losses
Lobato, Rafael D.	Parallel approaches to large-scale stochastic energy system design problems
Luca, Calatroni	The l0 Bregman Relaxation
Léger, Flavien	Gradient descent with a general cost
M
M. Sempere, Gregorio	An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
Maculan, Nelson	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
Maddaloni, Alessandro	The No-Meet Matroid
Magron, Victor	Minimal Sparsity for Scalable Moment-SOS Relaxations of the AC-OPF Problem
Mahajan, Aditya	Mean-field games among teams
Mahjoub, Ali Ridha	Integer linear formulations for the maximum flow blocker problem
Malisani, Paul	Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals Interior point methods in optimal control
Mariella, Nicola	Quantum Contextual Optimal Transport
Marin Moreno, Bianca	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
Marié, Alexandre	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
Martin, Sébastien	Integer linear formulations for the maximum flow blocker problem Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Martinez Parra, Camila	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Martini, Mattia	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
Massias, Mathurin	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
Maulén, Juan José	A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping
Mazet, Nathalie	Multidimensional analysis for the techno-economic study of the CSP plant
Mehlitz, Patrick	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
Mencarelli, Luca	Column Generation Approaches for the Satellites Constellation Design Problem
Mikael, Joseph	Classic-inspired quantum generation scheme for the parallel sequencing problem
Mimouni, Daniel	Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals
Modina, Naresh	Fisher Market Model based Resource Allocation for 5G Network Slicing
Mohamed, Hanene	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
Mohamed, Hanene	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing
Molan, Ioana	Learning the Follower's Objective Function in Sequential Bilevel Games
Molero-Río, Cristina	Optimal Trees and Multivariate Functional Data
Mongaillard, Thomas	Optimal Carbon Pricing Based on Dynamical Climate Model
Monnoyer, Gilles	Safe Peeling for L0-Penalized Problems
Morais, Hugo	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Morãrescu, Irinel-Constantin	A Planning Game for Global Decarbonization Strategies
Moschen, Lucas	Optimal Vaccination Strategies for Metropolitan Areas
Moussa, Kaouther	Moving Horizon Estimation for Anesthesia dynamics
Mroué, Bouchra	A Planning Game for Global Decarbonization Strategies
N
Nace, Dritan	The controller placement problem The Virtual Network Function Reconfiguration Problem
Neamatian Monemi, Rahimeh	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
Neamatian Monemi, Rahimeh	Neural Benders Decomposition for Mixed Integer Programming
Nenna, Luca	An ODE characterisation of Entropic Multi-Marginal Optimal Transport Convergence rate of entropy-regularized multi-marginal optimal transport costs
Neto, Jose	Outlier Detection in Regression: Conic Quadratic Formulations The No-Meet Matroid
Nguyen, Chi	Pickup and Delivery Problem with Cooperative Robots
Nguyen, Minh Hieu	Proportional Fairness for Multi-Objective Optimization
Nguyen, Viet Hung	Proportional Fairness for Multi-Objective Optimization A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem Pickup and Delivery Problem with Cooperative Robots
O
Omont, Nicolas	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
Onwunta, Akwum	Complexity analysis of regularization methods for implicitly constrained least squares
Oudjane, Nadia	An entropy penalized approach for stochastic optimal control problems
P
Pacaud, François	Accelerating nonlinear programming with GPUs
Palagi, Laura	Ease-controlled Random Reshuffling Gradient Algorithms for nonconvex finite sum optimization
Paquete, Luís	Optimal sets for the L-infinity star discrepancy
Parmentier, Axel	Decision-Aware Learning with REINFORCE enables new Architectures and Applications Renault's Forward Logistic Problem
Pass, Brendan	An ODE characterisation of Entropic Multi-Marginal Optimal Transport
Payen, Raphael	Exact Algorithm for Decoupled Vehicle-to-Grid Problem Optimal Price Menu Design of Electric Vehicle Charging Stations
Pegon, Paul	Convergence rate of entropy-regularized multi-marginal optimal transport costs
Pelamatti, Julien	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Perlaza, Samir	Statistical Empirical Risk Minimization: The Pursuit of Generalization
Perrot, Nancy	Latency-Sensitive Service Chaining with Security Isolation Constraints
Petit, Quentin	A Mean-Field Game Model for Energy Transition
Peura, Heikki	Randomized Assortment Optimization
Peypouquet, Juan	A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping
Peyré, Gabriel	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Philpott, Andy	Improving stochastic control by ignoring randomness
Pinson, Pierre	Accommodating fairness in a shared-energy allocation problem with uncertainties
Plateau, Agnès	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids
Porumbel, Daniel	Semidefinite programming by projective-cutting-planes
Puigcerver, Joan	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Q
Qi, Yang	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Quilliot, Alain	Lot Sizing, Job Scheduling and Energy Management Pickup and Delivery Problem with Cooperative Robots
R
Rachelson, Emmanuel	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
Rachid, El-Azouzi	Fisher Market Model based Resource Allocation for 5G Network Slicing
Rakotomandimby, Seta	Algorithms in Generalized Convexity Abstract Cutting Plane Method applied to Sparse Optimization
Rapsomaniki, Marianna	Quantum Contextual Optimal Transport
Regnault, Damien	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Rekik, Yacine	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Repetti, Audrey	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
Rigonat, Alessia	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing
Rojo González, Luis	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
Romero Morales, Dolores	Optimal Trees and Multivariate Functional Data
Rottner, Cecile	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
Royer, Clément	Complexity analysis of regularization methods for implicitly constrained least squares
Ruiz, Manuel	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Russo, Francesco	An entropy penalized approach for stochastic optimal control problems
S
Sabir, Essaid	Optimal Carbon Pricing Based on Dynamical Climate Model
Salas, David	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints Multidimensional analysis for the techno-economic study of the CSP plant
Sander, Michael	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Santambrogio, Filippo	Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting
Schiffer, Maximilian	Renault's Forward Logistic Problem
Schillinger, Thomas	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
Schmidt, Martin	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems Learning the Follower's Objective Function in Sequential Bilevel Games
Schramm, Fabian	QPLayer: efficient differentiation of convex quadratic optimization
Schulz, Alexandre	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Schönlieb, Carola-Bibiane	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Selvi, Aras	Differential Privacy via Distributionally Robust Optimization
Shanbhag, Uday	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
Silva Alvarez, Francisco José	Approximation of deterministic mean field games
Simonetto, Andrea	Optimizing Variational Circuits for Higher-Order Binary Optimization
Soledad Aronna, Maria	Optimal Vaccination Strategies for Metropolitan Areas
Soubies, Emmanuel	The l0 Bregman Relaxation Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
Sow, Babacar	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Spencer Trindade, Renan	Using regression splines to approximate mixed integer nonlinear optimization models
Staudigl, Mathias	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
Strang, Paul	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
Subramanian, Jayakumar	Mean-field games among teams
Swaminathan, Bhargav	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Syrtseva, Ksenia	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Sémirat, Stéphan	Convergence of a Two-Player Version of Macqueen's k-means Algorithm
T
Ta, Anh Son	Pickup and Delivery Problem with Cooperative Robots
Tang, Junqi	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Taylor, Adrien	Provable non-accelerations of the heavy-ball method QPLayer: efficient differentiation of convex quadratic optimization
Theobald, Thorsten	Semidefinite Games
Thera, Michel	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces Beyond the Fermat Optimality Rules
Thürauf, Johannes	Learning the Follower's Objective Function in Sequential Bilevel Games
Tomaszewski, Artur	The Virtual Network Function Reconfiguration Problem
Tran, Minh Tam	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Tsigaridas, Elias	Semidefinite Games
U
Ulutas, Berna	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
V
Valeyre, Laurent	Latency-Sensitive Service Chaining with Security Isolation Constraints
van Ackooij, Wim	Parallel approaches to large-scale stochastic energy system design problems
van der Blom, Koen	Per-Class Algorithm Selection for Black-Box Optimisation
van der Sar, Erica	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
Varma, Vineeth	Optimal Carbon Pricing Based on Dynamical Climate Model
Verchère, Zoé	Optimizing Variational Circuits for Higher-Order Binary Optimization
Verdier, Florian	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
Vidal, Thibaut	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Vo, Thi Quynh Trang	A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem
Vu, Hoang Nguyen	Fast Biased Random Key Genetic Algorithm in Target Set Selection
W
Walwil, Iyad	The Smoothed Duality Gap as a Stopping Criterion
Wang, Zhengchao	Randomized Assortment Optimization
Warin, Xavier	Neural networks for deterministic two-player games A Mean-Field Game Model for Energy Transition
Wary, Jean-Philippe	Latency-Sensitive Service Chaining with Security Isolation Constraints
Watel, Dimitri	The No-Meet Matroid
Wiesemann, Wolfram	Differential Privacy via Distributionally Robust Optimization Randomized Assortment Optimization
Will, Sebastian	Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
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