PGMODAYS 2024: PGMODAYS 2024

This page contains an index consisting of author-provided keywords.

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(weak) Pareto efficiency	A Fresh Look at Algorithms for Solving Smooth Multiobjective Optimization Problems
9
9-nodes graph instances	Resolution of a 9-nodes graph coloring instance using a QAOA based approach color instances of graph coloring problem
A
abstract cutting plane method	Capra-Cutting Plane Method Applied to Sparse Optimization
AC optimal power flow	Global optimization of nonlinear semi-infinite programming problems: Applications in power systems and control
Accelerated gradient descent	Inertial Dynamics and Accelerated Gradient Methods for Strongly Convex Functions
Accelerated Methods	Global Optimization Algorithm through High-Resolution Sampling
AdaGrad	A regret minimization approach to fixed point iterations
ADMM	Scenario-Based Decomposition for Optimal Power Curtailment with Priority-Level Producers
advice complexity	Is maze-solving parallelizable?
aFRR activation	Valuation of aFRR Activation in Germany for a Standalone Battery
aFRR Market	Management of a Battery on Short-Term Electricity Markets
Analog quantum computing	Analog Quantum Computing for Combinatorial Optimization Problems
Approximate Dynamic Programming	State Abstraction Discovery for Infinite Horizon Dynamic Programming
Approximation Algorithms	Some Preliminary Insights on Project GAALACTIC: (Provably) Good Approximation ALgorithms for Administrating Curtailments in the Telecommunications Industry Context
asymptotic	Asymptotic log-Sobolev constants and the Polyak-Łojasiewicz gradient domination condition
Auction	Learning in multi-unit uniform price auctions Optimal Strategy against Straightforward Bidding in Clock Auctions
auctions	Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
augmented lagrangian	Safe treatment of infeasible convex optimization problems via the augmented Lagrangian Scenario-Based Decomposition for Optimal Power Curtailment with Priority-Level Producers Block coordination of nonlinear networks and discrete optimization
Automatic differentiation	Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation
Autonomous vehicles	Scheduling Autonomous Buses for On-Demand Transportation with Crossing Constraints
averaging	A doubly nonlinear evolution system with threshold effects associated with dry friction
B
Backstepping	Stabilization and Optimal Control of an Interconnected SDE – Scalar PDE System
Banach Spaces	Generalized Kantorovich-Rubinstein Duality and Applications to Dictionary Learning
Bandit Algorithms	Learning in multi-unit uniform price auctions
Bandits	Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
Barron space	Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs
battery storage system	Optimal Operation of a Battery Energy Storage System Considering Cyclic Degradation and Revamping Strategies: a comparison of two formulations
Battery valuation	Valuation of aFRR Activation in Germany for a Standalone Battery
Bayesian Optimization	Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
BBOB	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Benchmarking	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization BOBILib: Bilevel Optimization (Benchmark) Instance Library
Benders decomposition	Dynamic two-stage programming for the stochastic lot-sizing problem with inventory bounds and lost sales
Bi-level optimization	Smart Charging and Optimization of Personalized Flexibility Services for Electric Vehicles’s Users
Bi-Objective Combinatorial Optimization	On the Kalai-Smorodinsky solutions for Bi-objective Spanning Tree Problem
Bidding Strategy	Optimal Strategy against Straightforward Bidding in Clock Auctions
Bilevel Optimization	The Share of Decarbonization Efforts between French Regions : A Bilevel Optimization Model Rochet-Choné Model, Bi-Level Optimization, and Quantization for Electricity Pricing Block coordination of nonlinear networks and discrete optimization How Difficult is it to Check if a Multilevel Optimization Problem is Unbounded?
Blackwell optimality	Stationary Regimes of Piecewise Linear Dynamical Systems with Priorities
Boosting algorithm	Scenario Tree Reduction via Wasserstein Barycenters
Boundary-Element-Method	Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
Bus scheduling	Scheduling Autonomous Buses for On-Demand Transportation with Crossing Constraints
C
calmness	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
capacity revamping	Optimal Operation of a Battery Energy Storage System Considering Cyclic Degradation and Revamping Strategies: a comparison of two formulations
Chance constraints	Chance-constrained stochastic zero-sum games
chance-constraint optimisation	Continuous-time Optimal Control for Trajectory Planning of Autonomous Vehicles under Uncertainty
Charging station	Smart Charging and Optimization of Personalized Flexibility Services for Electric Vehicles’s Users Dynamic Parking Pricing for Electric Vehicles at public Charging Stations
Chemical Master Equation	Sensitivity Analysis and Optimal Control for the Chemical Master Equation
CMA-ES	Linear convergence of CMA-ES
CMAES	Law-Smooth Update Scheme for the Cross-Entropy Optimization Algorithm and Application
coalition	Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
collective exploration	Is maze-solving parallelizable?
Column generation	Integrated crew management for rail freight A column generation approach for the routing of electricity technicians
Combinatorial optimization	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems Compact Knapsack: a Semidefinite Approach
common noise	On common noise in finite state space mean field games
complementarity constraints	A regularized interior-point method for optimization problems with complementarity constraints
Complexity	Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability
Computational Complexity	How Difficult is it to Check if a Multilevel Optimization Problem is Unbounded?
computational optimal transport	Slicing Unbalanced Optimal Transport
Computational optimization	BOBILib: Bilevel Optimization (Benchmark) Instance Library
Conditional Gradient Algorithm	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms
conditioned McKean-Vlasov diffusion	Making Wasserstein gradient flows noisy with Stochastic Moment Dynamic
conjugate duality	Duality in Convex Stochastic Optimization
Constrained Optimization	A Newton-type Method for Constrained Optimization
Contact dynamics	Optimization-based efficient algorithms for robot dynamics simulation and control
Continuous-time Markov chains	Sensitivity Analysis and Optimal Control for the Chemical Master Equation
continuous-time optimal control	Continuous-time Optimal Control for Trajectory Planning of Autonomous Vehicles under Uncertainty
control theory	Control and Machine Learning
Convergence	Nesterov momentum for convex functions with interpolation: is it faster than Stochastic gradient descent ?
convergence rate	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
convex bodies	Efficient sampling of constraint spaces in practice
Convex optimization	Safe treatment of infeasible convex optimization problems via the augmented Lagrangian A Speed Restart Scheme for an Inertial System with Hessian-Driven Damping and Constant Coefficients Optimal Operation of a Battery Energy Storage System Considering Cyclic Degradation and Revamping Strategies: a comparison of two formulations
cplex	Comparative study of quantum methods in the resolution of track findings instances
Crew rostering	Integrated crew management for rail freight
Crew scheduling	Integrated crew management for rail freight
Cross-Entropy method	Law-Smooth Update Scheme for the Cross-Entropy Optimization Algorithm and Application
crossover	Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Cut Problems	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems
Cuts	Compact Knapsack: a Semidefinite Approach
Cutting-Plane Algorithm	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms
cyclic degradation	Optimal Operation of a Battery Energy Storage System Considering Cyclic Degradation and Revamping Strategies: a comparison of two formulations
D
D-Wave	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems
damped inertial dynamic	A doubly nonlinear evolution system with threshold effects associated with dry friction
damped inertial dynamics	Tikhonov Regularization in Continuous and Discrete Time Optimization
Data centers	Distributed Economic Dispatch in Power Networks Harnessing Data Center Flexibility
Data-driven Methods	Towards Effective Datasets for Training Data-driven Models for Smart Grid Security Assessment
decarbonization	The Share of Decarbonization Efforts between French Regions : A Bilevel Optimization Model
decision making	Is maze-solving parallelizable?
Deep learning	Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation
Deep Neural Networks	Stable Parameters of Mean-Field Neural ODEs
demand response	Witsenhausen Model for Leader-Follower Problems in Energy Management
demographic parity	Demographic parity in regression and classification within the unawareness framework
descent algorithms	A Fresh Look at Algorithms for Solving Smooth Multiobjective Optimization Problems
Deterministic optimization	Valuation of aFRR Activation in Germany for a Standalone Battery
Differential equations	A Speed Restart Scheme for an Inertial System with Hessian-Driven Damping and Constant Coefficients
differential game	Representation results for differential games and related neural-network approximations
Diffusion	Stochastic Localization via Iterative Posterior Sampling
Discrete choice models	Incorporating Discrete Choice Models into Revenue Management Decisions
Discrete optimization	Application of Quantum computing to settle the large number of financial transactions
Discrete-time Systems	Extensions of KL class and Lyapunov Functions for the Maximization of Discrete-time Dynamical System States
Distributionally robust	Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Distributionally Robust Optimization	Comparison between Robust Optimization, Stochastic Programming and Distributionally Robust Optimization for Unit Commitment under uncertainty
Diversity	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Domain-Specific Modelling Language	A Domain-Specific Modelling Language for a Multi-Energy Planning Tool
dry friction	A doubly nonlinear evolution system with threshold effects associated with dry friction
Duality in Convex Optimization	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms
Dynamic Programming	Relative Value Iteration for Infinite-Horizon SDDP: Application to Hydroelectric Problem A column generation approach for the routing of electricity technicians Electricity dispatch and pricing using agent decision rules Dynamic two-stage programming for the stochastic lot-sizing problem with inventory bounds and lost sales Moderate Exponential-time Quantum Dynamic Programming Across the Subsets for Scheduling Problems
Dynamic routing	Traffic Flow Models for Current and Future Mobility Challenges
E
Eckart-Young theorem	Minimal Euclidean Distance degree of Segre-Veronese varieties
economic dispatch	Distributed Economic Dispatch in Power Networks Harnessing Data Center Flexibility
ED degree	Minimal Euclidean Distance degree of Segre-Veronese varieties
Eddy current imaging	Eddy current imaging of defects inside the steam generator with an inverse method
electric vehicle	Dynamic Parking Pricing for Electric Vehicles at public Charging Stations
Electric vehicles	Smart Charging and Optimization of Personalized Flexibility Services for Electric Vehicles’s Users
electricity markets	Optimal Operation and Valuation of Electricity Storages Electricity dispatch and pricing using agent decision rules
electricity storage	Operating a battery at minimum cost under reserve commitment constraints
emergency organizations	Stationary Regimes of Piecewise Linear Dynamical Systems with Priorities
energy	Witsenhausen Model for Leader-Follower Problems in Energy Management An Introduction to Witsenhausen Model and Games in Product Form
Energy Storage Systems	Management of a Battery on Short-Term Electricity Markets
Entropic regularization	Regularized Optimal Transport: disentangling suboptimality and entropy
enumerative formula	An enumerative formula for the spherical cap discrepancy
EV Charging	Online Moment Constrained Optimal Transport applied to Electric Vehicle Charging
Evolutionary Algorithms	Evolutionary Algorithms Are Robust to Noise out of the Box Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
experimental analysis of algorithms	Efficient sampling of constraint spaces in practice
F
fast convex optimization	A doubly nonlinear evolution system with threshold effects associated with dry friction
feedback controls	Representation results for differential games and related neural-network approximations
finance	Application of Quantum computing to settle the large number of financial transactions
Finite adaptability	Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability
First-order methods	A Speed Restart Scheme for an Inertial System with Hessian-Driven Damping and Constant Coefficients Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation
fishery management	A mean-field-game approach to overfishing
Fixed points	A regret minimization approach to fixed point iterations
flexibility	Distributed Economic Dispatch in Power Networks Harnessing Data Center Flexibility
Foward backward algos
Frank-Wolfe Algorithm	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms
free boundary problem	Stochastic Approximation with the Two-Norm Discrepancy
Free-Form-Deformation	Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
Frobenius product	Minimal Euclidean Distance degree of Segre-Veronese varieties
Functional Inequalities	Stable Parameters of Mean-Field Neural ODEs Asymptotic log-Sobolev constants and the Polyak-Łojasiewicz gradient domination condition
Future Mobility Challenges	Traffic Flow Models for Current and Future Mobility Challenges
G
game theory	The Share of Decarbonization Efforts between French Regions : A Bilevel Optimization Model
games in product form	An Introduction to Witsenhausen Model and Games in Product Form
Generalized conditional gradient algorithm	Mean field optimal control with piecewise deterministic Markov processes
generalized convexity	Capra-Cutting Plane Method Applied to Sparse Optimization H_0 Couplings and the l_0 Pseudonorm
Generation and Transmission Expansion Planning	A Domain-Specific Modelling Language for a Multi-Energy Planning Tool
genetic algorithms	Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Geometric Graphs	Strategic geometric graphs through mean field games
Global optimization	Global Optimization Algorithm through High-Resolution Sampling Minimal sparsity for scalable moment-SOS relaxations of the AC-OPF problem A Derivative-Free Method for Chance-Constrained Problems with Right-Hand Side Uncertainty Global optimization of nonlinear semi-infinite programming problems: Applications in power systems and control
Gradient descent	Stable Parameters of Mean-Field Neural ODEs Eddy current imaging of defects inside the steam generator with an inverse method
Graph coloring	Resolution of a 9-nodes graph coloring instance using a QAOA based approach color instances of graph coloring problem
grid-connected mini-grids	Comparing Deterministic and Chance Constrained Models for Renewable-Powered Mini-Grids in Unreliable Grid Conditions
Growth Optimization	Escape Rate Games and Competitive Spectral Radii
H
Hessian-driven damping	A doubly nonlinear evolution system with threshold effects associated with dry friction Tikhonov Regularization in Continuous and Discrete Time Optimization
Heuristics	A heuristics for Pickup and Delivery Problem with Cooperative Robots
Hierarchical Optimization	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities
high dimensions	Efficient sampling of constraint spaces in practice
Higher Order Methods	A Newton-type Method for Constrained Optimization
hyperbolic systems	On common noise in finite state space mean field games
Hyperspectral	Law-Smooth Update Scheme for the Cross-Entropy Optimization Algorithm and Application
I
Implicit differentiation	Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation
incremental learning	Incremental Learning in Diagonal Linear Networks
indifference pricing	Optimal Operation and Valuation of Electricity Storages
inertial system	Inertial Dynamics and Accelerated Gradient Methods for Strongly Convex Functions
Infeasibility	Safe treatment of infeasible convex optimization problems via the augmented Lagrangian
Inference	Sampling and Estimating the Set of Pareto Optimal Solutions in Stochastic Multi-Objective Optimization
Infinite Horizon	Relative Value Iteration for Infinite-Horizon SDDP: Application to Hydroelectric Problem
Inflow prediction	Machine Learning-Driven Inflow Forecasting for Optimizing Hydropower Maintenance Scheduling
Information Structure	A Domain-Specific Modelling Language for a Multi-Energy Planning Tool
Instance library	BOBILib: Bilevel Optimization (Benchmark) Instance Library
Integer Programming	Quantum Computing for Integer Quadratic Programming
Interconnected energy system modelling	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
Interconnection	Stabilization and Optimal Control of an Interconnected SDE – Scalar PDE System
interior-point method	A regularized interior-point method for optimization problems with complementarity constraints
Intraday	Management of a Battery on Short-Term Electricity Markets
intraday market	Operating a battery at minimum cost under reserve commitment constraints Valuation of aFRR Activation in Germany for a Standalone Battery
Inventory control	Online Inventory Problems: Theory and Practice
Inverse problem	Eddy current imaging of defects inside the steam generator with an inverse method
Inverse problems	Generalized Kantorovich-Rubinstein Duality and Applications to Dictionary Learning
irreversible investment	A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy
Iteration-Complexity	A Search-Free O(1/k^{3/2}) Homotopy Inexact Proximal-Newton Extragradient Algorithm for Monotone Variational Inequalities
J
Jacobi Principle	Stable Parameters of Mean-Field Neural ODEs
Joint Spectral Radius	Escape Rate Games and Competitive Spectral Radii
Jump benchmark	Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
K
Kalai-Smorodinsky solution	On the Kalai-Smorodinsky solutions for Bi-objective Spanning Tree Problem
Kantorovich duality	The dual charge method for the multimarginal optimal transport with Coulomb cost
KL stability theory	Extensions of KL class and Lyapunov Functions for the Maximization of Discrete-time Dynamical System States
Knapsack	Compact Knapsack: a Semidefinite Approach
Krasnoselskii-Mann Iteration	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities
L
l0 pseudonorm	H_0 Couplings and the l_0 Pseudonorm The Geometry of Sparsity-Inducing Balls
L1 minimization	Optimal Control for Linear Systems with L1-norm cost
Lagrangian decomposition	Distributed Economic Dispatch in Power Networks Harnessing Data Center Flexibility
Langevin Dynamics	The Stochastic Central Path : Sampling the Optimal Solution of a Convex Program with Random Parameters Global Optimization Algorithm through High-Resolution Sampling
Language models	Moshi: a real-time spoken dialogue model
Law-Smooth update	Law-Smooth Update Scheme for the Cross-Entropy Optimization Algorithm and Application
leader-follower	Witsenhausen Model for Leader-Follower Problems in Energy Management
Level-set method	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms Eddy current imaging of defects inside the steam generator with an inverse method
Linear bilevel programming	Random Cell Exploration and its applications to linear bilevel programming
linear convergence	Linear convergence of CMA-ES
linear networks	Incremental Learning in Diagonal Linear Networks
Linear program	Smart Charging and Optimization of Personalized Flexibility Services for Electric Vehicles’s Users
Linear Systems	Optimal Control for Linear Systems with L1-norm cost
Load Curtailments	Some Preliminary Insights on Project GAALACTIC: (Provably) Good Approximation ALgorithms for Administrating Curtailments in the Telecommunications Industry Context
log-Sobolev	Asymptotic log-Sobolev constants and the Polyak-Łojasiewicz gradient domination condition
Logarithmic Barrier	The Stochastic Central Path : Sampling the Optimal Solution of a Convex Program with Random Parameters
Logarithmic Sobolev Inequality	Global Optimization Algorithm through High-Resolution Sampling
Long-Term Water Management	Relative Value Iteration for Infinite-Horizon SDDP: Application to Hydroelectric Problem
Lyapunov analysis	Defining Lyapunov functions as the solution of a performance estimation saddle point problem
Lyapunov functions	Extensions of KL class and Lyapunov Functions for the Maximization of Discrete-time Dynamical System States
M
machine learning	Machine Learning-Driven Inflow Forecasting for Optimizing Hydropower Maintenance Scheduling Nesterov momentum for convex functions with interpolation: is it faster than Stochastic gradient descent ? Control and Machine Learning
Maintenance scheduling	Machine Learning-Driven Inflow Forecasting for Optimizing Hydropower Maintenance Scheduling
Many-objective optimization	Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
market concentration	A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy
Markov chain	Linear convergence of CMA-ES Dynamic Parking Pricing for Electric Vehicles at public Charging Stations
Markov Decision Processes	Stationary Regimes of Piecewise Linear Dynamical Systems with Priorities
master equation	On common noise in finite state space mean field games
maximum independent set	Towards Graph Encoding for Quantum Computing with Neutral Atoms
Mean field	Mean field optimal control with piecewise deterministic Markov processes
Mean Field Control	Online Moment Constrained Optimal Transport applied to Electric Vehicle Charging
mean field game	A mean-field-game approach to overfishing
Mean Field Games	On common noise in finite state space mean field games Mean Field Games in a Stackelberg problem with an informed major player Strategic geometric graphs through mean field games
Mean-Field	Equilibrium in Functional Stochastic Games with Mean-Field Interaction
Mean-Field Neural ODEs	Stable Parameters of Mean-Field Neural ODEs
mean-field stationary equilibrium	A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy
Mean-Payoff Games	Escape Rate Games and Competitive Spectral Radii
metric regularity	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
metric subregularity	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
metrical task systems	Is maze-solving parallelizable?
Micro-swimmer	Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
MILP	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems
minimum eigenvalue function	Restoring definiteness by advancing towards an inner SDP solution (at the edge of the SDP cone)
Minimum Spanning Tree Problem	On the Kalai-Smorodinsky solutions for Bi-objective Spanning Tree Problem
Mixed integer linear bilevel optimization	BOBILib: Bilevel Optimization (Benchmark) Instance Library
Mixed-integer optimization	A Derivative-Free Method for Chance-Constrained Problems with Right-Hand Side Uncertainty
mixed-integer programming	Scenario-Based Decomposition for Optimal Power Curtailment with Priority-Level Producers
Model-based	State Abstraction Discovery for Infinite Horizon Dynamic Programming
Moment-SOS relaxations	Minimal sparsity for scalable moment-SOS relaxations of the AC-OPF problem
Monotone Inclusions	A Search-Free O(1/k^{3/2}) Homotopy Inexact Proximal-Newton Extragradient Algorithm for Monotone Variational Inequalities
Monte Carlo algorithms	Efficient sampling of constraint spaces in practice
Monte Carlo Markov Chains	The Stochastic Central Path : Sampling the Optimal Solution of a Convex Program with Random Parameters
Multi-Agent	Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids
Multi-Energy Systems	A Domain-Specific Modelling Language for a Multi-Energy Planning Tool
multi-marginal transport	Particle Methods for High-dimensional Multi-marginal Optimal transport
Multi-modal distribution	Stochastic Localization via Iterative Posterior Sampling
Multi-modal Optimization	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Multi-objective optimization	Runtime Analysis of the SMS-EMOA for Many-Objective Optimization Sampling and Estimating the Set of Pareto Optimal Solutions in Stochastic Multi-Objective Optimization
Multi-stage stochastic lot-sizing	Dynamic two-stage programming for the stochastic lot-sizing problem with inventory bounds and lost sales
Multilevel Optimization	How Difficult is it to Check if a Multilevel Optimization Problem is Unbounded?
Multimarginal optimal transport	The dual charge method for the multimarginal optimal transport with Coulomb cost
Multiobjective optimization	A Fresh Look at Algorithms for Solving Smooth Multiobjective Optimization Problems
multistade stochastic optimization	Duality in Convex Stochastic Optimization
N
Nash equilibrium	Equilibrium in Functional Stochastic Games with Mean-Field Interaction
neural networks	Representation results for differential games and related neural-network approximations
neural ODEs	Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs
Newsvendor problem	Online Inventory Problems: Theory and Practice
Newton-type Methods	A Newton-type Method for Constrained Optimization
Niching	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Noisy Optimization	Evolutionary Algorithms Are Robust to Noise out of the Box
Non convex constraint functions	SDP Relaxations for polynomial Single-Leader-Multi-Follower Games
non-anticipative strategies	Representation results for differential games and related neural-network approximations
Non-expansive Mappings	Escape Rate Games and Competitive Spectral Radii
nonconvex MINLP	Block coordination of nonlinear networks and discrete optimization
nonlinear networks	Block coordination of nonlinear networks and discrete optimization
nonlinear programming	A regularized interior-point method for optimization problems with complementarity constraints
nonlinear system	Continuous-Time Optimal Control Problem under Signal Temporal Logic Constraints
Nonsmooth convex optimization	Tikhonov Regularization in Continuous and Discrete Time Optimization
Nonsmooth non- convex optimization	Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation
Nonsmooth Optimization	On the Duality between Frank-Wolfe and Cutting-Plane Algorithms
NSGA-II	Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
O
On-demand transportation	Scheduling Autonomous Buses for On-Demand Transportation with Crossing Constraints
online algorithms	Is maze-solving parallelizable?
Online convex optimization	Online Inventory Problems: Theory and Practice
Online learning	Online Inventory Problems: Theory and Practice Learning in multi-unit uniform price auctions
Operations Research	A heuristics for Pickup and Delivery Problem with Cooperative Robots
Operator Splitting	A Newton-type Method for Constrained Optimization
Optimal control	Stabilization and Optimal Control of an Interconnected SDE – Scalar PDE System Sensitivity Analysis and Optimal Control for the Chemical Master Equation Representation results for differential games and related neural-network approximations Optimization-based efficient algorithms for robot dynamics simulation and control Optimal Control for Linear Systems with L1-norm cost Continuous-Time Optimal Control Problem under Signal Temporal Logic Constraints Optimal Strategy against Straightforward Bidding in Clock Auctions Mean field optimal control with piecewise deterministic Markov processes
Optimal power flow	Minimal sparsity for scalable moment-SOS relaxations of the AC-OPF problem
Optimal Transport	Online Moment Constrained Optimal Transport applied to Electric Vehicle Charging Generalized Kantorovich-Rubinstein Duality and Applications to Dictionary Learning Scenario Tree Reduction via Wasserstein Barycenters Regularized Optimal Transport: disentangling suboptimality and entropy Demographic parity in regression and classification within the unawareness framework
Optimal Use of Batteries	Some Preliminary Insights on Project GAALACTIC: (Provably) Good Approximation ALgorithms for Administrating Curtailments in the Telecommunications Industry Context
optimality conditions	Duality in Convex Stochastic Optimization
Optimization	Hybrid Quantum Search on Complex Networks: Noisy Spatial Search with Quantum Stochastic Walks Quantum Optimization with Permutation Group-Structrure Ansatze Slicing Unbalanced Optimal Transport
Optimization problems	Analog Quantum Computing for Combinatorial Optimization Problems
optimization under uncertainty	Comparison between Robust Optimization, Stochastic Programming and Distributionally Robust Optimization for Unit Commitment under uncertainty Stochastic Approximation with the Two-Norm Discrepancy
OR	Incorporating Discrete Choice Models into Revenue Management Decisions
orthant-monotonic norm	The Geometry of Sparsity-Inducing Balls
orthant-strict monotonicity	H_0 Couplings and the l_0 Pseudonorm
P
parking pricing	Dynamic Parking Pricing for Electric Vehicles at public Charging Stations
partial differential equations	Stabilization and Optimal Control of an Interconnected SDE – Scalar PDE System A mean-field-game approach to overfishing
Partial Information	Mean Field Games in a Stackelberg problem with an informed major player
partial optimal transport	Particle Methods for High-dimensional Multi-marginal Optimal transport
Performance estimation problem	Defining Lyapunov functions as the solution of a performance estimation saddle point problem
Permutations	Quantum Optimization with Permutation Group-Structrure Ansatze
Pickup and Delivery Problem	A heuristics for Pickup and Delivery Problem with Cooperative Robots
Piecewise deterministic Markov processes	Mean field optimal control with piecewise deterministic Markov processes
Piecewise linearity	Random Cell Exploration and its applications to linear bilevel programming
Piecewise-linear dynamics	Stationary Regimes of Piecewise Linear Dynamical Systems with Priorities
Polyak-Lojasiewicz Condition	Stable Parameters of Mean-Field Neural ODEs
Polyak-Łojasiewicz inequality	Asymptotic log-Sobolev constants and the Polyak-Łojasiewicz gradient domination condition
Polyhedral geometry	Random Cell Exploration and its applications to linear bilevel programming
polynomial non-negativity	Rational SOS certificates of any polynomial over its zero-dimensional gradient ideal
POMDP	Optimal Strategy against Straightforward Bidding in Clock Auctions
Portfolio optimization	Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
positive semidefinite (SDP) matrix	Restoring definiteness by advancing towards an inner SDP solution (at the edge of the SDP cone)
Price menu design	Smart Charging and Optimization of Personalized Flexibility Services for Electric Vehicles’s Users
prices	Electricity dispatch and pricing using agent decision rules
Pricing	Rochet-Choné Model, Bi-Level Optimization, and Quantization for Electricity Pricing
Probability functions	Comparing Deterministic and Chance Constrained Models for Renewable-Powered Mini-Grids in Unreliable Grid Conditions
Problem instances	BOBILib: Bilevel Optimization (Benchmark) Instance Library
Prox-Penalization	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities
Proximal Point Algorithm	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
Proximal-Newton Algorithm	A Search-Free O(1/k^{3/2}) Homotopy Inexact Proximal-Newton Extragradient Algorithm for Monotone Variational Inequalities
Q
Quadratic optimization	Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Quadratic Programming	Quantum Computing for Integer Quadratic Programming
Quantization	Rochet-Choné Model, Bi-Level Optimization, and Quantization for Electricity Pricing
Quantum Annealing	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems
Quantum chemistry	The dual charge method for the multimarginal optimal transport with Coulomb cost
quantum computing	Quantum Optimization with Permutation Group-Structrure Ansatze Towards Graph Encoding for Quantum Computing with Neutral Atoms Quantum Computing for Integer Quadratic Programming Moderate Exponential-time Quantum Dynamic Programming Across the Subsets for Scheduling Problems Application of Quantum computing to settle the large number of financial transactions
quantum resolution	Comparative study of quantum methods in the resolution of track findings instances Resolution of a 9-nodes graph coloring instance using a QAOA based approach color instances of graph coloring problem
Quantum Walks	Hybrid Quantum Search on Complex Networks: Noisy Spatial Search with Quantum Stochastic Walks
QUBO Hybrid Solvers	Comparative Analysis of Quantum Annealing and Quantum-Classical Hybrid Solver on Cut Problems
R
R-continuity	Explicit Convergence Rate of the Proximal Point Algorithm under R-Continuity
Rail freight	Integrated crew management for rail freight
Random Cell Exploration	Random Cell Exploration and its applications to linear bilevel programming
Random rewards	Chance-constrained stochastic zero-sum games
Random Walks	Hybrid Quantum Search on Complex Networks: Noisy Spatial Search with Quantum Stochastic Walks
Randomized optimization algorithms	Defining Lyapunov functions as the solution of a performance estimation saddle point problem
rank-1 approximation problem	Minimal Euclidean Distance degree of Segre-Veronese varieties
rational univariate representation	Rational SOS certificates of any polynomial over its zero-dimensional gradient ideal
reachability	Representation results for differential games and related neural-network approximations
reaction diffusion	A mean-field-game approach to overfishing
regime-switching	A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy
Regret analysis	Online Inventory Problems: Theory and Practice
Regret minimization	A regret minimization approach to fixed point iterations
Reinforcement Learning	State Abstraction Discovery for Infinite Horizon Dynamic Programming Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids
Renewable Energy	Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids
reserve commitment	Operating a battery at minimum cost under reserve commitment constraints
Revenue Management	Incorporating Discrete Choice Models into Revenue Management Decisions
Riemannian manifolds	Strategic geometric graphs through mean field games
Rigid-body dynamics	Optimization-based efficient algorithms for robot dynamics simulation and control
risk management	Particle Methods for High-dimensional Multi-marginal Optimal transport
Robust Optimization	Comparison between Robust Optimization, Stochastic Programming and Distributionally Robust Optimization for Unit Commitment under uncertainty
Rochet-Choné Model	Rochet-Choné Model, Bi-Level Optimization, and Quantization for Electricity Pricing
run time analysis	Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Runtime analysis	Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem Evolutionary Algorithms Are Robust to Noise out of the Box Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Rydberg atom arrays	Towards Graph Encoding for Quantum Computing with Neutral Atoms
Rydberg atoms	Analog Quantum Computing for Combinatorial Optimization Problems
S
Sampling	Stochastic Localization via Iterative Posterior Sampling Efficient sampling of constraint spaces in practice
Sampling Algorithms	Global Optimization Algorithm through High-Resolution Sampling
Scenario reduction	Scenario Tree Reduction via Wasserstein Barycenters On problem-based scenario reductions
scenario tree	Scenario Tree Reduction via Wasserstein Barycenters
scenario/dual decomposition	Scenario-Based Decomposition for Optimal Power Curtailment with Priority-Level Producers
scheduling	Moderate Exponential-time Quantum Dynamic Programming Across the Subsets for Scheduling Problems
Schrödinger problem	Regularized Optimal Transport: disentangling suboptimality and entropy
SDDP	Optimal Operation and Valuation of Electricity Storages
SDG-7	Comparing Deterministic and Chance Constrained Models for Renewable-Powered Mini-Grids in Unreliable Grid Conditions
SDP error	Restoring definiteness by advancing towards an inner SDP solution (at the edge of the SDP cone)
SDP programming	SDP Relaxations for polynomial Single-Leader-Multi-Follower Games
Security Assessment	Towards Effective Datasets for Training Data-driven Models for Smart Grid Security Assessment
Segre variety	Minimal Euclidean Distance degree of Segre-Veronese varieties
semi-infinite programming	Global optimization of nonlinear semi-infinite programming problems: Applications in power systems and control
Semidefinite programming	Compact Knapsack: a Semidefinite Approach
shape optimization	Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques Stochastic Approximation with the Two-Norm Discrepancy Eddy current imaging of defects inside the steam generator with an inverse method
signal temporal logic	Continuous-Time Optimal Control Problem under Signal Temporal Logic Constraints
Single-Leader-Multi-Follower games	SDP Relaxations for polynomial Single-Leader-Multi-Follower Games
sliced divergences	Slicing Unbalanced Optimal Transport
small temperature	Asymptotic log-Sobolev constants and the Polyak-Łojasiewicz gradient domination condition
Smart charging	Mean field optimal control with piecewise deterministic Markov processes
Smart grid	Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids
Smart Grids	Towards Effective Datasets for Training Data-driven Models for Smart Grid Security Assessment
sparse optimization	Capra-Cutting Plane Method Applied to Sparse Optimization
Sparsity	Minimal sparsity for scalable moment-SOS relaxations of the AC-OPF problem The Geometry of Sparsity-Inducing Balls
Spatial decomposition	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
Spatial Search	Hybrid Quantum Search on Complex Networks: Noisy Spatial Search with Quantum Stochastic Walks
Speech-to-speech generation	Moshi: a real-time spoken dialogue model
Speed restart scheme	A Speed Restart Scheme for an Inertial System with Hessian-Driven Damping and Constant Coefficients
speed-up	Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
spherical cap discrepancy	An enumerative formula for the spherical cap discrepancy
Spoken dialogue system	Moshi: a real-time spoken dialogue model
Stackelberg Games	Mean Field Games in a Stackelberg problem with an informed major player
State Abstraction	State Abstraction Discovery for Infinite Horizon Dynamic Programming
state constraints	Representation results for differential games and related neural-network approximations
statistical fairness	Demographic parity in regression and classification within the unawareness framework
Stochastic Approximation	Sampling and Estimating the Set of Pareto Optimal Solutions in Stochastic Multi-Objective Optimization
stochastic control	Operating a battery at minimum cost under reserve commitment constraints
Stochastic convex optimization	Nesterov momentum for convex functions with interpolation: is it faster than Stochastic gradient descent ?
Stochastic Dual Dynamic Programming	Relative Value Iteration for Infinite-Horizon SDDP: Application to Hydroelectric Problem
Stochastic Dynamic Programming	Management of a Battery on Short-Term Electricity Markets
Stochastic Fredholm Equation	Equilibrium in Functional Stochastic Games with Mean-Field Interaction
Stochastic games	Chance-constrained stochastic zero-sum games Equilibrium in Functional Stochastic Games with Mean-Field Interaction
Stochastic gradient descent with momentum	Nesterov momentum for convex functions with interpolation: is it faster than Stochastic gradient descent ?
stochastic gradient method	Stochastic Approximation with the Two-Norm Discrepancy
Stochastic hydropower optimization	Machine Learning-Driven Inflow Forecasting for Optimizing Hydropower Maintenance Scheduling
Stochastic Localization	Stochastic Localization via Iterative Posterior Sampling
stochastic modelling	Continuous-time Optimal Control for Trajectory Planning of Autonomous Vehicles under Uncertainty
Stochastic multistage optimization	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
stochastic optimal power flow	Scenario-Based Decomposition for Optimal Power Curtailment with Priority-Level Producers
Stochastic Optimization	On problem-based scenario reductions Making Wasserstein gradient flows noisy with Stochastic Moment Dynamic Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity Comparing Deterministic and Chance Constrained Models for Renewable-Powered Mini-Grids in Unreliable Grid Conditions Nonsmooth calculus and optimization for machine learning: first-order sampling and implicit differentiation Sampling and Estimating the Set of Pareto Optimal Solutions in Stochastic Multi-Objective Optimization
stochastic PDE	Making Wasserstein gradient flows noisy with Stochastic Moment Dynamic
Stochastic programming	Comparison between Robust Optimization, Stochastic Programming and Distributionally Robust Optimization for Unit Commitment under uncertainty The Stochastic Central Path : Sampling the Optimal Solution of a Convex Program with Random Parameters A Derivative-Free Method for Chance-Constrained Problems with Right-Hand Side Uncertainty
Stochastic systems	Stabilization and Optimal Control of an Interconnected SDE – Scalar PDE System
storage management	Optimal Operation and Valuation of Electricity Storages
strong convergence	Tikhonov Regularization in Continuous and Discrete Time Optimization
strongly convex functions	Inertial Dynamics and Accelerated Gradient Methods for Strongly Convex Functions
sum of squares	Rational SOS certificates of any polynomial over its zero-dimensional gradient ideal
supervised learning	Control and Machine Learning
T
Theory	Evolutionary Algorithms Are Robust to Noise out of the Box
Theory of computing	Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
theory of neural networks	Incremental Learning in Diagonal Linear Networks
Tikhonov regularization	Tikhonov Regularization in Continuous and Discrete Time Optimization
time scaling	A doubly nonlinear evolution system with threshold effects associated with dry friction
Track finding	Comparative study of quantum methods in the resolution of track findings instances
Traffic Flow Models	Traffic Flow Models for Current and Future Mobility Challenges
Training Data	Towards Effective Datasets for Training Data-driven Models for Smart Grid Security Assessment
Trajectories maximization	Extensions of KL class and Lyapunov Functions for the Maximization of Discrete-time Dynamical System States
trajectory planning	Continuous-time Optimal Control for Trajectory Planning of Autonomous Vehicles under Uncertainty
transport equations	Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs
Traveling Salesman Problem	A heuristics for Pickup and Delivery Problem with Cooperative Robots
two-norm discrepancy	Stochastic Approximation with the Two-Norm Discrepancy
two-player game	Representation results for differential games and related neural-network approximations
Two-stage robust optimization	Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability
Two-stage stochastic optimization	On problem-based scenario reductions
U
uniform spherical point sets	An enumerative formula for the spherical cap discrepancy
Unit Commitment	Comparison between Robust Optimization, Stochastic Programming and Distributionally Robust Optimization for Unit Commitment under uncertainty
unit-disk graph encoding	Towards Graph Encoding for Quantum Computing with Neutral Atoms
universal approximation	Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs
V
value of economic stability	A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy
Variational Algorithm	Quantum Optimization with Permutation Group-Structrure Ansatze
Variational Inequalities	A Search-Free O(1/k^{3/2}) Homotopy Inexact Proximal-Newton Extragradient Algorithm for Monotone Variational Inequalities
vehicle autonomous systems	Continuous-time Optimal Control for Trajectory Planning of Autonomous Vehicles under Uncertainty
Vehicle routing	A column generation approach for the routing of electricity technicians
W
Warehouse	A heuristics for Pickup and Delivery Problem with Cooperative Robots
Wasserstein barycenter	Scenario Tree Reduction via Wasserstein Barycenters
Wasserstein gradient descent	Making Wasserstein gradient flows noisy with Stochastic Moment Dynamic
Witsenhausen intrinsic model	An Introduction to Witsenhausen Model and Games in Product Form
Z
zero-dimensional ideal	Rational SOS certificates of any polynomial over its zero-dimensional gradient ideal

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