PGMODAYS 2023: PGMODAYS 2023

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

5
5G network slicing	The Virtual Network Function Reconfiguration Problem
A
abstract convexity	Abstract Cutting Plane Method applied to Sparse Optimization
abstract cutting plane method	Abstract Cutting Plane Method applied to Sparse Optimization
AC-OPF	Minimal Sparsity for Scalable Moment-SOS Relaxations of the AC-OPF Problem
Acceleration	Provable non-accelerations of the heavy-ball method
accesibility	Accessibility Constraints in Shape Optimization
Adaptive step sizes	Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes
adaptive step-sizes	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
additive manufacturing	Accessibility Constraints in Shape Optimization
algorithm	Algorithms in Generalized Convexity
Algorithm selection	Per-Class Algorithm Selection for Black-Box Optimisation
almost-sure constraints	A control problem with random state constraints in probabilistic and almost-sure form
Alternating direction method of multipliers	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
alternating minimization	Gradient descent with a general cost
Anesthesia Dynamics	Moving Horizon Estimation for Anesthesia dynamics
approximate information state	Mean-field games among teams
approximate Markov perfect equilibrium	Mean-field games among teams
Approximation algorithms	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Approximation of equilibria	Approximation of deterministic mean field games
attraction model	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
B
Backward Kolmogorov equations	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
Balanced optimization	A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem
Benders decomposition	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
Bi-level problem	Integer linear formulations for the maximum flow blocker problem
biased random-key genetic algorithms	Fast Biased Random Key Genetic Algorithm in Target Set Selection
Bilevel optimization	Learning the Follower's Objective Function in Sequential Bilevel Games Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems
Bimatrix game	Semidefinite Games
Black-box model	Multidimensional analysis for the techno-economic study of the CSP plant
Black-box optimisation	Per-Class Algorithm Selection for Black-Box Optimisation
Blocker	Integer linear formulations for the maximum flow blocker problem
bound tightening	Safe Peeling for L0-Penalized Problems
Branch-and-bound	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
branch-and-cut	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem
Bregman	The l0 Bregman Relaxation
Bregman distance	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
Bundle methods	An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
C
c-concavity	Gradient descent with a general cost
car-sharing	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
carbon pricing	Optimal Carbon Pricing Based on Dynamical Climate Model
Chance-constrained OPF	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
charging station	Optimal Price Menu Design of Electric Vehicle Charging Stations
Circuit compilation	Optimizing Variational Circuits for Higher-Order Binary Optimization
Classification techniques	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
climate	Optimal Carbon Pricing Based on Dynamical Climate Model
Climate Change	A Planning Game for Global Decarbonization Strategies Integration of climate variability and climate change in renewable energy planning
clustering	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
Column Generation	The Virtual Network Function Reconfiguration Problem Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems Column Generation Approaches for the Satellites Constellation Design Problem
Combinatorial multi-armed bandits	Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Combinatorial optimisation	Optimizing Variational Circuits for Higher-Order Binary Optimization
Combinatorial optimization	Integer linear formulations for the maximum flow blocker problem Fast Biased Random Key Genetic Algorithm in Target Set Selection Neural Benders Decomposition for Mixed Integer Programming Decision-Aware Learning with REINFORCE enables new Architectures and Applications Submodular Functions on Modular Lattices
Commuting	Optimal Vaccination Strategies for Metropolitan Areas
Complexity	The No-Meet Matroid
Complexity analysis	Complexity analysis of regularization methods for implicitly constrained least squares
composite optimization problem	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
Computational Geometry	Optimal sets for the L-infinity star discrepancy
computed tomography	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Concentrated solar power plant	Multidimensional analysis for the techno-economic study of the CSP plant
Constrained affine optimal control problem	Optimal Vaccination Strategies for Metropolitan Areas
Control-affine dynamics	Approximation of deterministic mean field games
Controllers placement	The controller placement problem
Convergence Problem	On the Optimal Rate for the Convergence Problem in Mean-Field Control
Convergence results	Approximation of deterministic mean field games
convex analysis	Convergence rate of entropy-regularized multi-marginal optimal transport costs
Convex optimization	A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping The Smoothed Duality Gap as a Stopping Criterion
Coordinated charging	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
COVID-19	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
critical intervals detection	Optimal Trees and Multivariate Functional Data
Cross-docking	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
Curse of dimensionality	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Cycles	The No-Meet Matroid
D
Dantzig game	Semidefinite Games
Decarbonization	A Planning Game for Global Decarbonization Strategies Decarbonizing OCP
Decentralized learning	Fisher Market Model based Resource Allocation for 5G Network Slicing
Decomposition	Neural Benders Decomposition for Mixed Integer Programming
Deep learning	Ease-controlled Random Reshuffling Gradient Algorithms for nonconvex finite sum optimization
Deterministic mean field games	Approximation of deterministic mean field games
deterministic optimal control	Neural networks for deterministic two-player games
difference of functions	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
Difference-of-Convex	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Differentiable Optimization	QPLayer: efficient differentiation of convex quadratic optimization
differentiable programming	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Differential equations on spaces of measures	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
Differential Privacy	Differential Privacy via Distributionally Robust Optimization
Discrepancy	Optimal sets for the L-infinity star discrepancy
Discrete-time system	Maximum of Reachable Values of Discrete-Time Systems
displacement smoothness	Displacement smoothness of entropic optimal transport and applications
distance functions	Accessibility Constraints in Shape Optimization
distributional robustness	Improving stochastic control by ignoring randomness
Distributionally Robust Optimization	Differential Privacy via Distributionally Robust Optimization
double-floor single-row facility layout problem	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
Douglas-Rachford Method	Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals
dry friction	First order inertial optimization algorithms with threshold effects associated with dry friction
Dual Dynamic Programming	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
dual-channel	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Duality	Duality of upper bounds in stochastic dynamic programming
Dynamic Programming	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
dynamic programming principle	Neural networks for deterministic two-player games
E
Ecological Transition	A Mean-Field Game Model for Energy Transition
Edge Cloud	Latency-Sensitive Service Chaining with Security Isolation Constraints
Edge Computing	Latency-Sensitive Service Chaining with Security Isolation Constraints
Electric vehicles	Optimal Price Menu Design of Electric Vehicle Charging Stations Electric Vehicle Coordinated Charging through Hierarchical Optimization models Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Electricity markets	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Empirical Risk Minimization	Statistical Empirical Risk Minimization: The Pursuit of Generalization
Energy Aggregator	Accommodating fairness in a shared-energy allocation problem with uncertainties
Energy analytics	Decarbonizing OCP
Energy efficiency
Energy management	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids Lot Sizing, Job Scheduling and Energy Management
energy networks	Learning Energy Networks with Generalized Fenchel-Young Losses
Energy planning	Integration of climate variability and climate change in renewable energy planning
Energy system design	Parallel approaches to large-scale stochastic energy system design problems
Energy system modelling	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
entropic optimal transport	Displacement smoothness of entropic optimal transport and applications
entropic regularization	Convergence rate of entropy-regularized multi-marginal optimal transport costs An ODE characterisation of Entropic Multi-Marginal Optimal Transport
Epi-convergence	An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
Epidemic Model	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
Epidemiology	Optimal Vaccination Strategies for Metropolitan Areas
estimation-of-distribution algorithms	Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
EV charging	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints
evolutionary algorithms	Fast Biased Random Key Genetic Algorithm in Target Set Selection An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
evolutionary optimization	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Exact Methods	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
Exact relaxations	The l0 Bregman Relaxation
F
f-Divergences	Statistical Empirical Risk Minimization: The Pursuit of Generalization
facility planning and design	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
Fair Allocation	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids
Fairness	Accommodating fairness in a shared-energy allocation problem with uncertainties
fast evolution algorithm	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
Feature-free algorithm selection	Per-Class Algorithm Selection for Black-Box Optimisation
Fermat optimality conditions	Beyond the Fermat Optimality Rules
First-order methods	A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping
Fisher Market	Fisher Market Model based Resource Allocation for 5G Network Slicing
five-point property	Gradient descent with a general cost
Fleet Optimization Problem	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing
fleet size optimisation	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
fluid limit	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
front propagation	Neural networks for deterministic two-player games
G
Game Theory	A Planning Game for Global Decarbonization Strategies
games among teams	Mean-field games among teams
Gaussian processes	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Generalization Error	Statistical Empirical Risk Minimization: The Pursuit of Generalization
generalized conjugates	Learning Energy Networks with Generalized Fenchel-Young Losses
generalized convexity	Mirror Descent Algorithm in Generalized Convexity Abstract Cutting Plane Method applied to Sparse Optimization Algorithms in Generalized Convexity
Generalized subdifferential	Variational inference with λ-exponential families
Generation Schema	Classic-inspired quantum generation scheme for the parallel sequencing problem
genetic drift	Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
Gibbs Probability Measures	Statistical Empirical Risk Minimization: The Pursuit of Generalization
GPU	Accelerating nonlinear programming with GPUs
gradient descent	Gradient descent with a general cost
gradient flows	Displacement smoothness of entropic optimal transport and applications
Gradient methods	Ease-controlled Random Reshuffling Gradient Algorithms for nonconvex finite sum optimization
Graph Convolution Networks	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Graphs	The No-Meet Matroid
Grover Search	Classic-inspired quantum generation scheme for the parallel sequencing problem
Gröbner bases	Topology of spatiotemporal trajectories
H
Hamel basis	Beyond the Fermat Optimality Rules
Hamilton-Jacobi-Bellman Equation	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Heavy Ball	Provable non-accelerations of the heavy-ball method
Hessian-driven damping	First order inertial optimization algorithms with threshold effects associated with dry friction A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping
Hierarchical Games	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
Hierarchical optimization	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
High-performance computing	Accelerating nonlinear programming with GPUs
Hybrid modelling	Physics-informed neural networks, PDE solving, hybrid modeling
Hybrid systems	Hybrid games in route planning for sailing vessels and their mean field limit
Hyperbolic geometry	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
I
imaging	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
impatience	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
Implicit constraints	Complexity analysis of regularization methods for implicitly constrained least squares
Impulsive Epidemic Model	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
incentive algorithm	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
inertial methods	First order inertial optimization algorithms with threshold effects associated with dry friction
infinite-server queue	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
Information Measures	Statistical Empirical Risk Minimization: The Pursuit of Generalization
Information structure	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
Interdiction	Integer linear formulations for the maximum flow blocker problem
Interior point method	A new interior point solver for HiGHS
interior point methods	Interior point methods in optimal control
Interior-point methods	Accelerating nonlinear programming with GPUs
inventory	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Inverse KKT method	Learning the Follower's Objective Function in Sequential Bilevel Games
Inverse optimization	Learning the Follower's Objective Function in Sequential Bilevel Games
isotonic optimization	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
K
k-means algorithm	Convergence of a Two-Player Version of Macqueen's k-means Algorithm
Karush-Kuhn-Tucker	The Smoothed Duality Gap as a Stopping Criterion
Knapsack interdiction	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems
Knapsack Problem	The Virtual Network Function Reconfiguration Problem
Kuratowski-continuity	Beyond the Fermat Optimality Rules
Kurdyka-Lojasiewicz property	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
L
L0 optimization	The l0 Bregman Relaxation
L0-norm	Safe Peeling for L0-Penalized Problems
Lagrangian decomposition	Parallel approaches to large-scale stochastic energy system design problems
Lagrangian equilibrium	Approximation of deterministic mean field games
Large scale analysis	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
Large scale combinatorial optimization	Renault's Forward Logistic Problem
large-scale optimization	Accelerating nonlinear programming with GPUs Parallel approaches to large-scale stochastic energy system design problems
Latency-sensitive Service	Latency-Sensitive Service Chaining with Security Isolation Constraints
LeadingOnes benchmark	Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
least quantile regression	Outlier Detection in Regression: Conic Quadratic Formulations
least trimmed squares	Outlier Detection in Regression: Conic Quadratic Formulations
linear constraints	Minimizing a Separable Sum Coupled by a Difference of Functions and Linear Constraints
Linear optimization	A new interior point solver for HiGHS
loss functions	Learning Energy Networks with Generalized Fenchel-Young Losses
Lot sizing	Lot Sizing, Job Scheduling and Energy Management
Low carbon energies	Integration of climate variability and climate change in renewable energy planning
Lyapunov functions	Maximum of Reachable Values of Discrete-Time Systems
M
machine learning	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks Decision-Aware Learning with REINFORCE enables new Architectures and Applications QPLayer: efficient differentiation of convex quadratic optimization
Makespan	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Market Equilibrium	Fisher Market Model based Resource Allocation for 5G Network Slicing
Markov Chain Model	Randomized Assortment Optimization
Markov perfect equilibrium	Mean-field games among teams
Mathematical Modeling	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
Matroids	The No-Meet Matroid
Maximal coverage	The controller placement problem
Maximum flow	Integer linear formulations for the maximum flow blocker problem
Maximum likelihood	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Mean Field Games	Hybrid games in route planning for sailing vessels and their mean field limit Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Mean-field	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
Mean-Field Control	On the Optimal Rate for the Convergence Problem in Mean-Field Control
Mean-Field Game	A Mean-Field Game Model for Energy Transition
mean-field games	Mean-field games among teams
Measure-valued processes	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
MILP	Column Generation Approaches for the Satellites Constellation Design Problem Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
MILP modeling	A Machine Learning based Branch-Cut-and-Benders for Dock Assignment and Truck Scheduling Problem in Cross-Docks
mirror descent	Mirror Descent Algorithm in Generalized Convexity
mixed constraints	Interior point methods in optimal control
Mixed Integer Nonlinear Programming	Using regression splines to approximate mixed integer nonlinear optimization models
Mixed Integer Programming	Neural Benders Decomposition for Mixed Integer Programming
mixed-integer linear programming	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
Mixed-Integer Programming	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization Safe Peeling for L0-Penalized Problems
model predictive control	Improving stochastic control by ignoring randomness
Modeling	A Planning Game for Global Decarbonization Strategies
Modular lattices	Submodular Functions on Modular Lattices
Moment-SOS hierarchy	Minimal Sparsity for Scalable Moment-SOS Relaxations of the AC-OPF Problem
Moreau-Rockafellar subdifferential	Beyond the Fermat Optimality Rules
Moving Horizon Estimation	Moving Horizon Estimation for Anesthesia dynamics
Multi-agent reinforcement learning	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks Decentralized Smart Charging of Large-Scale EV Fleets using Adaptive Multi-Agent Multi-Armed Bandits
Multi-Commodity Network Flow	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Multi-Criteria Decision Making	Proportional Fairness for Multi-Objective Optimization
multi-marginal optimal transport	Convergence rate of entropy-regularized multi-marginal optimal transport costs
multi-marginal OT	An ODE characterisation of Entropic Multi-Marginal Optimal Transport
Multi-objective optimization	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise Proportional Fairness for Multi-Objective Optimization
Multi-Scale Markov Processes	Large Scale Analysis of a Stochastic Model for Free-Floating Car-Sharing
Multicommodity flow	Renault's Forward Logistic Problem
Multinomial Logit Model	Randomized Assortment Optimization
Multiparameter persistent homology	Topology of spatiotemporal trajectories
Multiplicative weight update	Learning the Follower's Objective Function in Sequential Bilevel Games
Multistage Optimization	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Multistage Stochastic Programming	Duality of upper bounds in stochastic dynamic programming
multivariate functional data	Optimal Trees and Multivariate Functional Data
N
N-body System	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Nash equilibrium	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Network attacks	The controller placement problem
Network design	Renault's Forward Logistic Problem
Network resilience	The controller placement problem
Network slicing	Fisher Market Model based Resource Allocation for 5G Network Slicing
Network Topology Optimization	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
neural networks	Neural networks for deterministic two-player games
noisy optimization	Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Non-convex	The l0 Bregman Relaxation
Non-convexity	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
Non-Linear programming	Optimal sets for the L-infinity star discrepancy
Non-zero sum games	Hybrid games in route planning for sailing vessels and their mean field limit
Nonconvex optimization	Ease-controlled Random Reshuffling Gradient Algorithms for nonconvex finite sum optimization
nonconvexity	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
nonlinear programming	Optimal Trees and Multivariate Functional Data
nonnegative cross-curvature	Gradient descent with a general cost
Nonsmooth and nonconvex optimization	An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
Number of Nash equilibria	Semidefinite Games
Numerical Simulations	A Mean-Field Game Model for Energy Transition
O
Open-source software	A new interior point solver for HiGHS
Operations Research	Pickup and Delivery Problem with Cooperative Robots
Optimal control	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization Interior point methods in optimal control Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
Optimal design	Multidimensional analysis for the techno-economic study of the CSP plant
Optimal location	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints
Optimal Power Flow	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
optimal randomized regression trees	Optimal Trees and Multivariate Functional Data
optimal trajectories	Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting
Optimal Trajectory	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Optimal Transport	Convergence rate of entropy-regularized multi-marginal optimal transport costs An ODE characterisation of Entropic Multi-Marginal Optimal Transport Quantum Contextual Optimal Transport Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals
Optimality gap and Feasibility error	The Smoothed Duality Gap as a Stopping Criterion
optimization	Optimal Price Menu Design of Electric Vehicle Charging Stations Optimal Carbon Pricing Based on Dynamical Climate Model An entropy penalized approach for stochastic optimal control problems
Ordinary Differential Equations	Optimal Control for General Impulsive VS-EIAR Epidemics Models with Application to COVID-19
Orientation	The No-Meet Matroid
Outer/upper/inner-semicontinuity	Beyond the Fermat Optimality Rules
outlier detection	Outlier Detection in Regression: Conic Quadratic Formulations
P
Parallel machine Scheduling	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Parallel optimization	Parallel approaches to large-scale stochastic energy system design problems
Pareto optimal	Proportional Fairness for Multi-Objective Optimization
PDE solving	Physics-informed neural networks, PDE solving, hybrid modeling
PDE-constrained optimization	Complexity analysis of regularization methods for implicitly constrained least squares
PDEs in the Space of Probability Measures	On the Optimal Rate for the Convergence Problem in Mean-Field Control
Per-class algorithm selection	Per-Class Algorithm Selection for Black-Box Optimisation
Performance estimation	Provable non-accelerations of the heavy-ball method
permutahedron	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
perturbation	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
Pharmacodynamic	Moving Horizon Estimation for Anesthesia dynamics
Physics-informed machine learning	Physics-informed neural networks, PDE solving, hybrid modeling
Pickup and Delivery Problem	Pickup and Delivery Problem with Cooperative Robots
piecewise constant	Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting
Potential game	A Planning Game for Global Decarbonization Strategies
Power iterations	Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes
Power modulation and curtailment	Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
Power systems reliability	Advanced Optimization Techniques for Grid Design and Real-Time Operations in Power Networks
Preference Ranking Model	Randomized Assortment Optimization
price design	Optimal Price Menu Design of Electric Vehicle Charging Stations
pricing	Pricing strategy for dual-channel retailing using a stochastic attraction-demand model
Primal-Dual algorithm	Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Privacy-Accuracy Trade-Off	Differential Privacy via Distributionally Robust Optimization
probabilistic state constraints	A control problem with random state constraints in probabilistic and almost-sure form
Production Planning	Optimal Allocation for a Fair Distribution of Green Energy in Microgrids
Projective Cutting Planes	Semidefinite programming by projective-cutting-planes
Proportional Fairness	Proportional Fairness for Multi-Objective Optimization
Proximal gradient	The l0 Bregman Relaxation
proximal-gradient algorithms	First order inertial optimization algorithms with threshold effects associated with dry friction
Q
Quadratic Programming	QPLayer: efficient differentiation of convex quadratic optimization
Quantum	Quantum Contextual Optimal Transport
Quantum computation	Classic-inspired quantum generation scheme for the parallel sequencing problem
Quantum computing	Optimizing Variational Circuits for Higher-Order Binary Optimization
Quantum Machine Learning	Quantum Contextual Optimal Transport
R
Randomization	Randomized Assortment Optimization
real-life case	Evolutionary Algorithm Outperforms MILP Solver on the Double-Floor Single-Row Facility Layout Problem
regularity	CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS Existence and Lipschitz regularity of the trajectories minimizing the total variation in a congested setting
regularization	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
REINFORCE gradient	Decision-Aware Learning with REINFORCE enables new Architectures and Applications
Reinforcement learning	Hyperbolic deep reinforcement learning for repeated exact combinatorial optimization
Relative entropy	An entropy penalized approach for stochastic optimal control problems
Relaxing tests	Screen & Relax for Sparse Support Identification
Remedial Actions Optimisation	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
reneging	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
Renewable energy	A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Renewable energy integration	Decarbonizing OCP
reservation in advance	A Model for Dimensioning Ressources in a Car-Sharing System with Booking in Advance and Cancellation
Resource allocation	Fisher Market Model based Resource Allocation for 5G Network Slicing
Restart	A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping
Risk measures	Duality of upper bounds in stochastic dynamic programming
risk-averse PDE constrained optimization	A control problem with random state constraints in probabilistic and almost-sure form
Robots Reconfiguration	Pickup and Delivery Problem with Cooperative Robots
Robust Assortment Optimization	Randomized Assortment Optimization
robust linear regression	Outlier Detection in Regression: Conic Quadratic Formulations
robust optimization	An Extension of the Bertsimas & Sim Result for Discrete, Linear, and Gamma-Robust Min-Max Problems Decarbonizing OCP
Route planning	Hybrid games in route planning for sailing vessels and their mean field limit
runtime analysis	An Improved Tie-Breaking Rule for the Non-Dominated Sorting Genetic Algorithm II Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Rényi dimension	Convergence rate of entropy-regularized multi-marginal optimal transport costs
S
sample average approximation	Improving stochastic control by ignoring randomness
Satellites constellation design problem	Column Generation Approaches for the Satellites Constellation Design Problem
Scheduling	Lot Sizing, Job Scheduling and Energy Management
Scheduling Problem	Classic-inspired quantum generation scheme for the parallel sequencing problem
Schrödinger problem	Convergence rate of entropy-regularized multi-marginal optimal transport costs
Screening tests	Screen & Relax for Sparse Support Identification
SDDP	Duality of upper bounds in stochastic dynamic programming
Security	Latency-Sensitive Service Chaining with Security Isolation Constraints
Security analysis	Coordinated cross-border capacity calculation through the FARAO open-source toolbox
Security Isolation	Latency-Sensitive Service Chaining with Security Isolation Constraints
semi geostrophic equations	Displacement smoothness of entropic optimal transport and applications
Semiconcavity	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
Semidefinite game	Semidefinite Games
Semidefinite programming	Minimal Sparsity for Scalable Moment-SOS Relaxations of the AC-OPF Problem Maximum of Reachable Values of Discrete-Time Systems Semidefinite programming by projective-cutting-planes Semidefinite Games
sender-receiver games	Convergence of a Two-Player Version of Macqueen's k-means Algorithm
sensitivity analysis	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
Separation Sub Problem	Semidefinite programming by projective-cutting-planes
Sequences suprema	Maximum of Reachable Values of Discrete-Time Systems
Sequential games	Learning the Follower's Objective Function in Sequential Bilevel Games
Service Chain	Latency-Sensitive Service Chaining with Security Isolation Constraints
sets of points optimization	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
shape optimization	Accessibility Constraints in Shape Optimization
single-crossing	Convergence of a Two-Player Version of Macqueen's k-means Algorithm
Single-Leader-Multi-Follower game	Optimal location of charging station: a Single-Leader-Multi-Follower approach with cardinality constraints
single-leader-multi-followers games with common constraints	CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
slope	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
Smart Charging	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
Smoothed Duality Gap	The Smoothed Duality Gap as a Stopping Criterion
smoothing	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
SMS++ software framework	Parallel approaches to large-scale stochastic energy system design problems
soft thresholding	First order inertial optimization algorithms with threshold effects associated with dry friction
Software-Defined Networking (SDN)	The controller placement problem
Sparse numerical linear algebra	A new interior point solver for HiGHS
sparse optimization	Mirror Descent Algorithm in Generalized Convexity Abstract Cutting Plane Method applied to Sparse Optimization Algorithms in Generalized Convexity
Sparse problems	Safe Peeling for L0-Penalized Problems Screen & Relax for Sparse Support Identification
sparsity	Improving Sparse Penalties with Nonconvexity and Coefficient Clustering
Splines	Using regression splines to approximate mixed integer nonlinear optimization models
SPOT market	Multidimensional analysis for the techno-economic study of the CSP plant
stability	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
state constraints	Neural networks for deterministic two-player games Interior point methods in optimal control
stationary points	CHARACTERIZATION OF THE SOLUTIONS OF SINGLE-LEADER-MULTI-FOLLOWERS GAMES WITH COMMON CONSTRAINTS
stochastic algorithm	Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
Stochastic algorithms	A new version of the Kurdyka-Lojasiewicz property to better study the convergence of stochastic optimization algorithms in a non-convex framework
Stochastic control	An entropy penalized approach for stochastic optimal control problems Improving stochastic control by ignoring randomness A Mean Field Game Model for Renewable Investment under Long-Term Uncertainty and Risk Aversion
Stochastic Dual Dynamic Programming	Parallel approaches to large-scale stochastic energy system design problems
Stochastic filtering	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
Stochastic multistage optimization	A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation in Energy Systems Under Uncertainty
stochastic network	Mean Field Analysis of an Incentive Policy on the Regulation of Free-Floating Car-Sharing Systems
Stochastic optimal control with partial observation	Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
Stochastic Optimization	Parallel approaches to large-scale stochastic energy system design problems Accommodating fairness in a shared-energy allocation problem with uncertainties
stochastic processes	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
Stochastic Variational Inequalities	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
Stopping criterion	The Smoothed Duality Gap as a Stopping Criterion
Submodular optimization	Submodular Functions on Modular Lattices
Sup-subdifferential	Beyond the Fermat Optimality Rules
Supervised Learning	Learning Sparsified Networks in Column Generation: Applications to Multi-Commodity Network Flow Problems
Supervized Machine Learning	Statistical Empirical Risk Minimization: The Pursuit of Generalization
Surrogate modeling	An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
Surrogate models	Using regression splines to approximate mixed integer nonlinear optimization models
T
Taxonomy	Electric Vehicle Coordinated Charging through Hierarchical Optimization models
theory	Expected Runtime of the Compact Genetic Algorithm on the LeadingOnes Benchmark
Thermochemical storage	Multidimensional analysis for the techno-economic study of the CSP plant
tilt stability	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
top-k	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Topological data analysis	Topology of spatiotemporal trajectories
Total completion time	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem
Trading post mechanism	Fisher Market Model based Resource Allocation for 5G Network Slicing
transport equations	Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
Traveling Salesman Problem	Pickup and Delivery Problem with Cooperative Robots A Branch-and-Cut algorithm for the Balanced Traveling Salesman Problem
Tropical Numerical Method	Semiconcave Dual Dynamic Programming and Its Application to N-body Problems
two-player games	Neural networks for deterministic two-player games
U
Uncertainties	Accommodating fairness in a shared-energy allocation problem with uncertainties
Uncertainty	Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow modelling the DSO Power Modulation Lever for Distribution Networks
univariate marginal distribution algorithm	Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
Unknown follower data	Learning the Follower's Objective Function in Sequential Bilevel Games
V
Vaccination	Optimal Vaccination Strategies for Metropolitan Areas
Variance Reduction	A regularized variance-reduced modified extragradient method for stochastic hierarchical games
variational analysis	Nonlinear Sharp Minimum and the Stability of a Local Minimum on Metric Spaces
Variational inference	Variational inference with λ-exponential families
Vehicle-to-Grid	Exact Algorithm for Decoupled Vehicle-to-Grid Problem
VNFs reconfiguration	The Virtual Network Function Reconfiguration Problem
W
Warehouse	Pickup and Delivery Problem with Cooperative Robots
Wasserstein barycenter	Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
Wassertein Barycenters	Computing Wasserstein Barycenter via operator splitting: the Method of Averaged Marginals
Weighted Sum Method	Proportional Fairness for Multi-Objective Optimization
λ
λ-exponential families	Variational inference with λ-exponential families

Disclaimer | Powered by EasyChair Smart Program