PGMODAYS 2019: PGMODAYS 2019

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

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$s-t$ cut	On the minimum $s-t$ cut problem with budget constraints
5
5G	Routing and Slot Allocation in 5G Hard Slicing
A
AC OPF	Chance Constrained AC Optimal Power Flow with Sparse Polynomial Chaos Expansion
adaptive algorithms	An adaptive stochastic optimization algorithm for resource allocation
Adaptive design of experiments	Bayesian Optimization Under Uncertainty for Chance Constrained Problems
Adaptive therapy	The logic of containing tumors
Addtive Manufacturing	Topology optimization of support structures for thermo-mechanical constraints in powder bed additive manufacturing
adjacency matrix eigenvalues	Spectral Bounds For Graph Partitioning Problems
adjacency matrix eigenvectors	Spectral Bounds For Graph Partitioning Problems
advice complexity	Online Computation with Untrusted Advice
Aggregator	Economical assessment of different usage of microgrid battery storage in the UK market context
Air Pollution	Generating Specialized Biased Experts for Electricity and Pollution Forecasting using Online Mixture
Air Separation Unit	On facing demand forecast uncertainties by means of Robust Optimization
algorithmic configuration	Algorithmic configuration by learning and optimization
analysis l1-regularization	The Geometry of Sparse Analysis Regularization
Ancillary services	Economical assessment of different usage of microgrid battery storage in the UK market context
approximation algorithm	On the minimum $s-t$ cut problem with budget constraints
arbitrage	Arbitrage with Power Factor Correction using Energy Storage
Artificial intelligence	Artificial Intelligence and optimal policies for prosumer integration
Augmented lagrangian algorithm	Unconstrained nonlinear relaxations in global optimization
Autocovariance	Principal Component Analysis for a Bundle of Functional Time Series and its Application in Prediction
Automated Algorithm Configuration	Expressiveness, Robustness and Stability of Landscape Features
availability	Design of optimal maintenance strategies using piecewise deterministic Markov processes Improvement of condition-based maintenance for a guaranteed level of service on a fleet of equipment
B
battery	Arbitrage with Power Factor Correction using Energy Storage
bayesian optimization	Bayesian Optimization in Reduced Eigenbases Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient
Bi-level optimization	Optimal Resource Allocation in Micro-organisms: the Dynamics of Photoacclimation in Microalgae as a Case Study (Oracle Project)**Cancelled**
Bi-level programming	Minimizing Energy and Link capacity Utilization in ISP Backbone Networks: Bi-level approach
Big-M	There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization
bilevel	Near-Optimal Robust Bilevel Optimization
Bilevel optimization	Multiple Decision-Makers in a Collective Self-consumption context: Bilevel optimization There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization A Multi-Leader-Follower Game for Demand-Side Management Bilevel optimization applied to strategic pricing in electricity markets and extension to markets with massive entry of renewable energies and distributed generation Strategic bidding in Price Coupled Regions - ****CANCELLED****
Bilevel Programming	The Rank Pricing Problem with Ties
Binary programming	The Impact of Quadratization in Convexification-Based Resolution of Polynomial Binary Optimization
Black-Box Optimization	Expressiveness, Robustness and Stability of Landscape Features An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
bounded jitter	Routing in deterministic networks
bounded rationality	Near-Optimal Robust Bilevel Optimization
Bounding polyhedra	There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization
Branch & Bound	Optimal Design of a District Cooling System Design by Mixed Integer Linear Programming
Branch-and-Bound	Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound
Branch-and-Cut	Minimizing Energy and Link capacity Utilization in ISP Backbone Networks: Bi-level approach
Branch-and-Price	Extended formulations for the Virtual Network Functions Placement and Routing Problem
Branching Heuristic	A Graph-based Heuristic for Variable Selection in Mixed Integer Linear Programming
C
Capacity expansion	Optimizing Network Investments and Designing of Offers for a Telecommunication Operator
Case study	A DSS based on hybrid metaheuristic for waste collection routing problem with time windows
Chance Constrained Capacitated Vehicle Scheduling Problem	Learning to Price: Structured Learning to scale up Column Generation
Chance constrained optimization	Bayesian Optimization Under Uncertainty for Chance Constrained Problems
Chance Constrains	Chance Constrained AC Optimal Power Flow with Sparse Polynomial Chaos Expansion
Chance-constrained programming	Design of a charging infrastructure for electric vehicles under a stochastic driving range
Charging stations	Design of a charging infrastructure for electric vehicles under a stochastic driving range
Clique Decomposition	Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
Co-clustering	Co-Clustering for multivariate functional data for the Analysis of Electric Power Consumption
Collective self-consumption	Multiple Decision-Makers in a Collective Self-consumption context: Bilevel optimization
column generation	Routing and Slot Allocation in 5G Hard Slicing Learning to Price: Structured Learning to scale up Column Generation
Combinatorial optimization	Extended formulations for the Virtual Network Functions Placement and Routing Problem
Combinatorics	Combinatorial Matrix Theory in Multivariate Statistics: the Case of Structural Equation Models
competitive analysis	Online Computation with Untrusted Advice
complementarity problem	Polyhedral Newton-Min Algorithms for Complementarity Problems
condition-based maintenance	Improvement of condition-based maintenance for a guaranteed level of service on a fleet of equipment
Conflict Graph	New Results for the Flow Shop problem with Conflict Graph
Conjugate gradient	Newton-Conjugate Gradient Methods with Complexity Guarantees
Constant piecewise step sizes	Online Restart Strategies for SGD
Container Technology	New Containers Scheduling Strategy based on a Multi-Criteria Decision Algorithm
continuous black-box optimization	Towards Dynamic Algorithm Selection
convex optimisation	Bregman Proximal Methods Revisited for Solving Variational Inequalities with Singularities ***Cancelled***
Convex optimization	General Risk Measures for Robust Machine Learning Arbitrage with Power Factor Correction using Energy Storage
Convex relaxation	A Tight-and-Cheap Relaxation for the ACOPF Problem
Convexification	The Impact of Quadratization in Convexification-Based Resolution of Polynomial Binary Optimization
Curtailing Market	Optimizing Battery Usage for a Telecommunications Company Participating in a Curtailing Market
Cutting plane	Minimizing Energy and Link capacity Utilization in ISP Backbone Networks: Bi-level approach
CVaR	Constraint Generation for Risk Averse Two-Stage Stochastic Programs
D
Damage model	TOPOLOGY OPTIMIZATION IN BRITTLE FRACTURE MECHANICS USING LEVEL-SETS
Day-ahead market	Strategic bidding in Price Coupled Regions - ****CANCELLED****
Decision analysis under uncertainty	Constraint Generation for Risk Averse Two-Stage Stochastic Programs
Decision support system	A DSS based on hybrid metaheuristic for waste collection routing problem with time windows
Decomposition	SMS++: a Structured Modelling System for Optimization
decomposition-coordination	A decomposition method by component for the optimization of maintenance scheduling
Deep Learning	Matrix Completion on Graphs: Modeling Interactions An Inertial Newton Algorithm for Deep Learning with Convergence Guarantees
Deep neural networks	Deep learning numerical methods for Hamilton Jacobi equations - ****CANCELLED****
Deflated value iteration	Solving Perfect Information Mean Payoff Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration
delays	Linear–Quadratic optimal control for a class of stochastic Volterra equations: solvability and approximation
Demand forecast	On facing demand forecast uncertainties by means of Robust Optimization
demand response	Pleiad: A Python Framework to Optimize Residential Power Consumption
Demand-Side Management	A Multi-Leader-Follower Game for Demand-Side Management
deterministic latency	Routing in deterministic networks
Dimension Reduction	Bayesian Optimization in Reduced Eigenbases
Discrete total variations	Error estimate for TV denoising
Discrete-time Piecewise Affine Systems	Exact Verification of Piecewise Affine Dynamical Systems
Divergences	General Risk Measures for Robust Machine Learning
duality	Near-Optimal Robust Bilevel Optimization
Dynamic Algorithm Configuration	Self-Adjusting Mutation Rates with Provably Optimal Success Rules
Dynamic Bayesian Network	Delay propagation on a suburban railway network
Dynamic Programming	Tensor Decomposition for High-dimensional Hamilton-Jacobi-Bellman Equations
Dynamic programming decomposition	Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach
Dynamical Systems	An Inertial Newton Algorithm for Deep Learning with Convergence Guarantees
E
eigenanalysis	Principal Component Analysis for a Bundle of Functional Time Series and its Application in Prediction
eigenvalues	Solving sparse polynomial systems using Groebner bases
electric power consumption	Co-Clustering for multivariate functional data for the Analysis of Electric Power Consumption
Electric vehicle	Design of a charging infrastructure for electric vehicles under a stochastic driving range
Electric vehicles	Optimization of the power mix and the remuneration of the electric vehicles with VGI facilites
electrical transport	A Difference-of-Convex Approach for Optimal Power Flow Problems with Probability Constraints
Electricity	Peer-to-peer Electricity Market Analysis: from Variational to Generalized Nash Equilibrium
Electricity Consumption Optimization	Economical assessment of different usage of microgrid battery storage in the UK market context
electricity contract problem	Quasi-Variational Inequality problems over product sets and applications to GNEPs
Electricity Load Forecasting	Generating Specialized Biased Experts for Electricity and Pollution Forecasting using Online Mixture
Energy	A Difference-of-Convex Approach for Optimal Power Flow Problems with Probability Constraints
Energy Management	McKean Stochastic Optimal Control of an Energy Storage System to reduce demand variability Scenario and Stage Decompositions for Planning Energy Investment under Uncertainty ***Cancelled***
Energy management tools	Quantifying the value of flexibility: demand response versus storage
Energy Markets	Bilevel optimization applied to strategic pricing in electricity markets and extension to markets with massive entry of renewable energies and distributed generation
Energy mix	Optimization of the power mix and the remuneration of the electric vehicles with VGI facilites
energy modeling	Stochastic Model for the Uncertainties in the Long-Term Prediction of Run-of-River Hydropower Generation
Energy Optimization	SMS++: a Structured Modelling System for Optimization
Energy policy	Artificial Intelligence and optimal policies for prosumer integration
energy storage	Arbitrage with Power Factor Correction using Energy Storage
Energy Storage Optimization	Optimizing Battery Usage for a Telecommunications Company Participating in a Curtailing Market
energy systems	Pleiad: A Python Framework to Optimize Residential Power Consumption
Energy-aware engineering	Minimizing Energy and Link capacity Utilization in ISP Backbone Networks: Bi-level approach
Ensemble Methods	Generating Specialized Biased Experts for Electricity and Pollution Forecasting using Online Mixture
entropic regularization	Sinkhorn Divergences for Unbalanced Optimal Transport
Equilibrium Theory	A Multi-Leader-Follower Game for Demand-Side Management
Erdos-Renyi correlated graphs	Partial Recovery in the Graph Alignment Problem
Ergodic Control	Representation formulas for limit values of long run stochastic optimal controls
Error estimates	Error estimate for TV denoising
exploratory landscape analysis	Expressiveness, Robustness and Stability of Landscape Features Towards Dynamic Algorithm Selection
Extended formulation	Near-Optimal Robust Bilevel Optimization Extended formulations for the Virtual Network Functions Placement and Routing Problem
extreme solutions	The Geometry of Sparse Analysis Regularization
F
Fairness	Random Allocations, Fairness and Implementability in Stackelberg Security Games
Fenchel-Moreau conjugacy	Variational Formulations for the l0 Pseudonorm and Applications to Sparse Optimization
FFR	Economical assessment of different usage of microgrid battery storage in the UK market context
finite convergence	Polyhedral Newton-Min Algorithms for Complementarity Problems
first hitting times	Solving Perfect Information Mean Payoff Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration
First order methods	Null Space Gradient Flows for Constrained Optimization with Applications to Shape Optimization
flex ethernet	Routing and Slot Allocation in 5G Hard Slicing
Flow Shop	New Results for the Flow Shop problem with Conflict Graph
fractional noise	Linear–Quadratic optimal control for a class of stochastic Volterra equations: solvability and approximation
Fracture mechanics	TOPOLOGY OPTIMIZATION IN BRITTLE FRACTURE MECHANICS USING LEVEL-SETS
frequency reserve	Optimal reserve sizing for frequency regulation
FSO	Modeling transmission link's degradation caused by weather phenomena - the special case of FSO networks
Functional time series	Principal Component Analysis for a Bundle of Functional Time Series and its Application in Prediction
Fuzzy differentiability	Optimality of a multi-variable fuzzy function
Fuzzy functions	Optimality of a multi-variable fuzzy function
Fuzzy Optimisation	Optimality of a multi-variable fuzzy function
G
game theory	Strategic behaviour of risk-averse agents under stochastic market clearing Near-Optimal Robust Bilevel Optimization
Gaussian Processes	Bayesian Optimization in Reduced Eigenbases Bayesian Optimization Under Uncertainty for Chance Constrained Problems
generalized k-support norms	Variational Formulations for the l0 Pseudonorm and Applications to Sparse Optimization
Generalized Nash Equilibrium	Quasi-Variational Inequality problems over product sets and applications to GNEPs Peer-to-peer Electricity Market Analysis: from Variational to Generalized Nash Equilibrium
Generating Functions	Solving linear Diophantine systems through Polyhedral Omega and applications in optimization
Genetic algorithm	A DSS based on hybrid metaheuristic for waste collection routing problem with time windows
global convergence	Polyhedral Newton-Min Algorithms for Complementarity Problems
global minima	L0-Regularized Huber Loss Function - ****CANCELLED****
Global Optimization	A Tight-and-Cheap Relaxation for the ACOPF Problem Unconstrained nonlinear relaxations in global optimization Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound HYBRIDIZING SIMULATED ANNEALING WITH RADIAL BASIS FUNCTION NETWORKS MODEL FOR GLOBAL OPTIMIZATION PROBLEMS***CANCELLED**** Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient
Gobal optimization	A Difference-of-Convex Approach for Optimal Power Flow Problems with Probability Constraints
Gradient flows	Null Space Gradient Flows for Constrained Optimization with Applications to Shape Optimization
Graph Alignment Problem	Partial Recovery in the Graph Alignment Problem
Graph partitioning	Spectral Bounds For Graph Partitioning Problems
Graph Signal Processing	Matrix Completion on Graphs: Modeling Interactions
Graphical models	Combinatorial Matrix Theory in Multivariate Statistics: the Case of Structural Equation Models
Gröbner basis	Solving sparse polynomial systems using Groebner bases
guaranteed tolerance	Mixed Integer Optimization Using Piecewise Linear Function Fitting and JULIA-based library
H
Hamilton Jacobi equations	Deep learning numerical methods for Hamilton Jacobi equations - ****CANCELLED****
Hamilton-Jacobi-Bellman Equations	Tensor Decomposition for High-dimensional Hamilton-Jacobi-Bellman Equations
hard slicing	Routing and Slot Allocation in 5G Hard Slicing
Hardness	There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization
Heuristics	Improving MCTS approaches for Vehicle Routing Problems
High-dimensional Approximation	Tensor Decomposition for High-dimensional Hamilton-Jacobi-Bellman Equations
Huber loss function	L0-Regularized Huber Loss Function - ****CANCELLED****
Hybridizing Metaheuristics	HYBRIDIZING SIMULATED ANNEALING WITH RADIAL BASIS FUNCTION NETWORKS MODEL FOR GLOBAL OPTIMIZATION PROBLEMS***CANCELLED****
Hydro Unit Commitment Problem	A Lagrangian Decomposition for Hydro Unit Commitment Problem With Two Reservoir
hydroelectricity	Evaluation of the Impact of the Power Production Function Approximation on Hydropower Maintenance Scheduling***Cancelled***
hydropower production function	Evaluation of the Impact of the Power Production Function Approximation on Hydropower Maintenance Scheduling***Cancelled***
Hyperparameters optimization	Interior point methods for logistic regression
I
Image denoising	Error estimate for TV denoising
Implementability	Random Allocations, Fairness and Implementability in Stackelberg Security Games
Impulse control	Design of optimal maintenance strategies using piecewise deterministic Markov processes
Influence Maximization	A Graph-based Heuristic for Variable Selection in Mixed Integer Linear Programming
Interior point methods	A new strategy for solving nonlinear complementarity problems arising in thermodynamics of compositional multiphase mixtures
Investments optimization	Optimizing Network Investments and Designing of Offers for a Telecommunication Operator
IRSDI1	Prediction of building epoch from unconstrained images using deep learning: an expert level? Privacy Preserving Synthetic Smart Meters Data Signature-Based Disaggregation of Electricity Demand
IRSDI2	Prediction of building epoch from unconstrained images using deep learning: an expert level? Privacy Preserving Synthetic Smart Meters Data Signature-Based Disaggregation of Electricity Demand
IRSDI3	Prediction of building epoch from unconstrained images using deep learning: an expert level? Privacy Preserving Synthetic Smart Meters Data Signature-Based Disaggregation of Electricity Demand
K
Kinematics	Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator
KKT conditions	Multiple Decision-Makers in a Collective Self-consumption context: Bilevel optimization
L
l0 pseudonorm	Variational Formulations for the l0 Pseudonorm and Applications to Sparse Optimization
L0-norm	L0-Regularized Huber Loss Function - ****CANCELLED****
Lagrangian Decomposition	A Lagrangian Decomposition for Hydro Unit Commitment Problem With Two Reservoir
Lasso	Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso
least-square merit function	Polyhedral Newton-Min Algorithms for Complementarity Problems
level-set method	Coupled optimization of both structure and mechanical connections (location and number) Robust topology optimization of nanophotonic devices
Level-sets	TOPOLOGY OPTIMIZATION IN BRITTLE FRACTURE MECHANICS USING LEVEL-SETS
linear and mixed integer programming	Modeling transmission link's degradation caused by weather phenomena - the special case of FSO networks
Linear Diophantine systems	Solving linear Diophantine systems through Polyhedral Omega and applications in optimization
linear programming	On the minimum $s-t$ cut problem with budget constraints An extended LP formulation for the water pump scheduling problem
linesearch	Polyhedral Newton-Min Algorithms for Complementarity Problems
Local Cooling System	Optimal Design of a District Cooling System Design by Mixed Integer Linear Programming
local minima	L0-Regularized Huber Loss Function - ****CANCELLED****
Logistic regression	Interior point methods for logistic regression
Lot-sizing	Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach
Low-rank	Model Consistency for Learning with Low-complexity Priors
M
machine learning	Algorithmic configuration by learning and optimization Stochastic Model for the Uncertainties in the Long-Term Prediction of Run-of-River Hydropower Generation General Risk Measures for Robust Machine Learning
maintenance scheduling	A decomposition method by component for the optimization of maintenance scheduling Evaluation of the Impact of the Power Production Function Approximation on Hydropower Maintenance Scheduling***Cancelled***
Makespan	New Results for the Flow Shop problem with Conflict Graph
Market equilibrium	Strategic bidding in Price Coupled Regions - ****CANCELLED****
Mathematical oncology	The logic of containing tumors
Mathematical program with equilibrium constraints	Bilevel optimization applied to strategic pricing in electricity markets and extension to markets with massive entry of renewable energies and distributed generation
mathematical programming	Algorithmic configuration by learning and optimization
Matheuristic	Learning to Price: Structured Learning to scale up Column Generation
Matheuristics	New Results for the Flow Shop problem with Conflict Graph
Matrix Completion	Matrix Completion on Graphs: Modeling Interactions
Matrix Factorization	Matrix Completion on Graphs: Modeling Interactions
max k-cut	Spectral Bounds For Graph Partitioning Problems
maximal solutions	The Geometry of Sparse Analysis Regularization
McKean interaction	McKean Stochastic Optimal Control of an Energy Storage System to reduce demand variability
MCTS	Improving MCTS approaches for Vehicle Routing Problems
mean payoff problems	Solving Perfect Information Mean Payoff Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration
Metaheuristics	A DSS based on hybrid metaheuristic for waste collection routing problem with time windows
Microbial growth	Optimal Resource Allocation in Micro-organisms: the Dynamics of Photoacclimation in Microalgae as a Case Study (Oracle Project)**Cancelled**
microgrid	Optimal reserve sizing for frequency regulation
MILP	Optimizing Network Investments and Designing of Offers for a Telecommunication Operator New Results for the Flow Shop problem with Conflict Graph Mixed Integer Optimization Using Piecewise Linear Function Fitting and JULIA-based library
minimum function	Polyhedral Newton-Min Algorithms for Complementarity Problems
MINLP	Mixed Integer Optimization Using Piecewise Linear Function Fitting and JULIA-based library
MIQCP	New Results for the Flow Shop problem with Conflict Graph
Mixed Integer Linear Programming	A Graph-based Heuristic for Variable Selection in Mixed Integer Linear Programming
mixed volume	Solving sparse polynomial systems using Groebner bases
mixed-integer linear optimization	Evaluation of the Impact of the Power Production Function Approximation on Hydropower Maintenance Scheduling***Cancelled***
mixed-integer linear programming	Pleiad: A Python Framework to Optimize Residential Power Consumption
Mixed-integer programming	The Rank Pricing Problem with Ties
Modelling Systems	SMS++: a Structured Modelling System for Optimization
monotone variational inequalities	Bregman Proximal Methods Revisited for Solving Variational Inequalities with Singularities ***Cancelled***
Monte Carlo methods	Improving the convergence of Stochastically perturbed Nesterov's accelerated Forward-Backward
MPCC	Multiple Decision-Makers in a Collective Self-consumption context: Bilevel optimization There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization
multi-commodity flows	Modeling transmission link's degradation caused by weather phenomena - the special case of FSO networks
Multi-criteria optimization	New Containers Scheduling Strategy based on a Multi-Criteria Decision Algorithm
Multi-fidelity	Constrained Multi-Objective Optimization under Uncertainty with Multi-fidelity Approximations
Multi-objective optimization	Constrained Multi-Objective Optimization under Uncertainty with Multi-fidelity Approximations Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient
Multi-objective programming	Quantifying the value of flexibility: demand response versus storage
Multi-stage stochastic process	Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach
multiobjective optimization	On the minimum $s-t$ cut problem with budget constraints
Multiphase flow	A new strategy for solving nonlinear complementarity problems arising in thermodynamics of compositional multiphase mixtures
multivariate functional data	Co-Clustering for multivariate functional data for the Analysis of Electric Power Consumption
Multivariate statistics	Combinatorial Matrix Theory in Multivariate Statistics: the Case of Structural Equation Models
multivariate time series	Principal Component Analysis for a Bundle of Functional Time Series and its Application in Prediction
N
nanophotonics	Robust topology optimization of nanophotonic devices
Nash equilibrium	Bilevel optimization applied to strategic pricing in electricity markets and extension to markets with massive entry of renewable energies and distributed generation
necessary conditions	L0-Regularized Huber Loss Function - ****CANCELLED****
net-lower sign-continuity	Quasi-Variational Inequality problems over product sets and applications to GNEPs
Network Function Virtualization	Extended formulations for the Virtual Network Functions Placement and Routing Problem
network telecommunication	Routing in deterministic networks
neural networks	Learning step sizes for unfolded sparse coding
Neuroimaging Applications	Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso
Newton method	A new strategy for solving nonlinear complementarity problems arising in thermodynamics of compositional multiphase mixtures
Newton polytope	Solving sparse polynomial systems using Groebner bases
noisy optimization	Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient
non markovian	Linear–Quadratic optimal control for a class of stochastic Volterra equations: solvability and approximation
Non-linear programming	Interior point methods for logistic regression
Nonconvex Optimization	Newton-Conjugate Gradient Methods with Complexity Guarantees An Inertial Newton Algorithm for Deep Learning with Convergence Guarantees
Nonlinear complementarity problem	A new strategy for solving nonlinear complementarity problems arising in thermodynamics of compositional multiphase mixtures
Nonlinear constrained optimization	Null Space Gradient Flows for Constrained Optimization with Applications to Shape Optimization
nonlinear optimization	Evaluation of the Impact of the Power Production Function Approximation on Hydropower Maintenance Scheduling***Cancelled***
Nonlinear PDEs	A moment approach for entropy solutions to scalar conservation laws
Nonlinear programming	Unconstrained nonlinear relaxations in global optimization The Impact of Quadratization in Convexification-Based Resolution of Polynomial Binary Optimization
Nonsmooth Optimization	An Inertial Newton Algorithm for Deep Learning with Convergence Guarantees
nonsmooth reformulation	Polyhedral Newton-Min Algorithms for Complementarity Problems
NRPA	Improving MCTS approaches for Vehicle Routing Problems
numerical approximation	Design of optimal maintenance strategies using piecewise deterministic Markov processes
Numerical simulation	A moment approach for entropy solutions to scalar conservation laws
O
online algorithm selection and configuration	Towards Dynamic Algorithm Selection
Online Combinatorial Optimization	Sequential Learning in Resource Allocation Games as Path Planning Problems with Side-Observations
Online computation	Online Computation with Untrusted Advice
Online convergence diagnostics	Online Restart Strategies for SGD
online learning	An adaptive stochastic optimization algorithm for resource allocation
optimal control	Representation formulas for limit values of long run stochastic optimal controls The logic of containing tumors Optimal Probabilistic Control of the Vibrating String under Random Initial Conditions Deep learning numerical methods for Hamilton Jacobi equations - ****CANCELLED****
Optimal design	Optimal Design of a District Cooling System Design by Mixed Integer Linear Programming
Optimal Feedback Control	Tensor Decomposition for High-dimensional Hamilton-Jacobi-Bellman Equations
optimal mini-batch	Towards closing the gap between the theory and practice of SVRG
Optimal Power Flow	A Tight-and-Cheap Relaxation for the ACOPF Problem Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound
optimal transport	Sinkhorn Divergences for Unbalanced Optimal Transport
Optimality conditions	Optimality of a multi-variable fuzzy function
Optimization	Self-Adjusting Mutation Rates with Provably Optimal Success Rules Routing in deterministic networks An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search Solving linear Diophantine systems through Polyhedral Omega and applications in optimization Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso
Optimization and Optimal Control	Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator
Optimization in Dynamical Systems	Exact Verification of Piecewise Affine Dynamical Systems
optimization solver	Algorithmic configuration by learning and optimization
Optimization under uncertainty	Constrained Multi-Objective Optimization under Uncertainty with Multi-fidelity Approximations
OR for telecommunications	Optimizing Network Investments and Designing of Offers for a Telecommunication Operator
orthant-strictly monotonic norms	Variational Formulations for the l0 Pseudonorm and Applications to Sparse Optimization
P
P-matrix	Polyhedral Newton-Min Algorithms for Complementarity Problems
Parameter Selection	Self-Adjusting Mutation Rates with Provably Optimal Success Rules
Partial Recovery	Partial Recovery in the Graph Alignment Problem
Partial sample approximation	Design of a charging infrastructure for electric vehicles under a stochastic driving range
Path Planning Problem	Sequential Learning in Resource Allocation Games as Path Planning Problems with Side-Observations
Path problem	Learning to Price: Structured Learning to scale up Column Generation
PDE constrained optimization	Optimal Probabilistic Control of the Vibrating String under Random Initial Conditions
Peer-to-Peer market	Peer-to-peer Electricity Market Analysis: from Variational to Generalized Nash Equilibrium
Perturbed MM algorithms	Improving the convergence of Stochastically perturbed Nesterov's accelerated Forward-Backward
Pharmacoresistance	The logic of containing tumors
piecewise linear functions	Mixed Integer Optimization Using Piecewise Linear Function Fitting and JULIA-based library
Piecewise Quadratic Lyapunov Functions	Exact Verification of Piecewise Affine Dynamical Systems
Polyhedral Geometry	Solving linear Diophantine systems through Polyhedral Omega and applications in optimization
polyhedral Newton-min algorithm	Polyhedral Newton-Min Algorithms for Complementarity Problems
Polynomial Chaos Expansion	Chance Constrained AC Optimal Power Flow with Sparse Polynomial Chaos Expansion
Polynomial optimization	A moment approach for entropy solutions to scalar conservation laws
Pontryagin's maximum principle	Optimal Resource Allocation in Micro-organisms: the Dynamics of Photoacclimation in Microalgae as a Case Study (Oracle Project)**Cancelled**
power factor correction	Arbitrage with Power Factor Correction using Energy Storage
Power systems	A Tight-and-Cheap Relaxation for the ACOPF Problem
Pricing Problems	The Rank Pricing Problem with Ties
Principal Component Analysis	Bayesian Optimization in Reduced Eigenbases Principal Component Analysis for a Bundle of Functional Time Series and its Application in Prediction
probabilistic constraints	Optimal Probabilistic Control of the Vibrating String under Random Initial Conditions
probabilistic programming	Delay propagation on a suburban railway network
Progressive Hedging Algorithm	Scenario and Stage Decompositions for Planning Energy Investment under Uncertainty ***Cancelled***
project scheduling	Anchor-Robust Solutions for the Resource-Constrained Project Scheduling Problem
Prosumers	Peer-to-peer Electricity Market Analysis: from Variational to Generalized Nash Equilibrium
proximal algorithm	Learning step sizes for unfolded sparse coding
pump scheduling	An extended LP formulation for the water pump scheduling problem
Pyro	Delay propagation on a suburban railway network
python	Pleiad: A Python Framework to Optimize Residential Power Consumption
Q
QCP	Multiple Decision-Makers in a Collective Self-consumption context: Bilevel optimization
Quadratic Reformulation	Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound
Quadratization	The Impact of Quadratization in Convexification-Based Resolution of Polynomial Binary Optimization
Quasi-variational inequalities	Quasi-Variational Inequality problems over product sets and applications to GNEPs
quasimonotone operators	Quasi-Variational Inequality problems over product sets and applications to GNEPs
R
Radial Basis Function Network	HYBRIDIZING SIMULATED ANNEALING WITH RADIAL BASIS FUNCTION NETWORKS MODEL FOR GLOBAL OPTIMIZATION PROBLEMS***CANCELLED****
randomized search heuristics	Towards Dynamic Algorithm Selection
Redundant Robots	Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator
Regret-Minimization	Sequential Learning in Resource Allocation Games as Path Planning Problems with Side-Observations
Remanufacturing	Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach
resilient and survivable networks	Modeling transmission link's degradation caused by weather phenomena - the special case of FSO networks
resource allocation	An adaptive stochastic optimization algorithm for resource allocation
Resource Allocation Game	Sequential Learning in Resource Allocation Games as Path Planning Problems with Side-Observations
resource constraints	Anchor-Robust Solutions for the Resource-Constrained Project Scheduling Problem
Restarts	An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
Risk	Strategic behaviour of risk-averse agents under stochastic market clearing
Risk aversion	Constraint Generation for Risk Averse Two-Stage Stochastic Programs
Risk measures	General Risk Measures for Robust Machine Learning
robust	Near-Optimal Robust Bilevel Optimization
robust algorithms	Online Computation with Untrusted Advice
robust optimization	Anchor-Robust Solutions for the Resource-Constrained Project Scheduling Problem Modeling transmission link's degradation caused by weather phenomena - the special case of FSO networks On facing demand forecast uncertainties by means of Robust Optimization Optimal reserve sizing for frequency regulation
Robust statistics	General Risk Measures for Robust Machine Learning
robustness	Robust topology optimization of nanophotonic devices
S
scheduling	Pleiad: A Python Framework to Optimize Residential Power Consumption
Scheduling Strategy	New Containers Scheduling Strategy based on a Multi-Criteria Decision Algorithm
SDDiP	Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach
Semi-Definite Programming	Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound Exact Verification of Piecewise Affine Dynamical Systems
Semidefinite Programming	Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
semismooth Newton	Polyhedral Newton-Min Algorithms for Complementarity Problems
Sensitivity analysis	Quantifying the value of flexibility: demand response versus storage
Sequential Aggregation	Generating Specialized Biased Experts for Electricity and Pollution Forecasting using Online Mixture
shape derivative	A consistent relaxation of optimal design problems for coupling shape and topological derivatives
Shape optimization	Null Space Gradient Flows for Constrained Optimization with Applications to Shape Optimization A consistent relaxation of optimal design problems for coupling shape and topological derivatives
Simulated Annealing	HYBRIDIZING SIMULATED ANNEALING WITH RADIAL BASIS FUNCTION NETWORKS MODEL FOR GLOBAL OPTIMIZATION PROBLEMS***CANCELLED****
simulation optimization	Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient
sinkhorn divergence	Sinkhorn Divergences for Unbalanced Optimal Transport
Small-scale prosumer	Artificial Intelligence and optimal policies for prosumer integration
Smart Grid	A Multi-Leader-Follower Game for Demand-Side Management
Software Defined Networking	Extended formulations for the Virtual Network Functions Placement and Routing Problem
solution stability	Anchor-Robust Solutions for the Resource-Constrained Project Scheduling Problem
sparse coding	Learning step sizes for unfolded sparse coding
sparse optimization	Variational Formulations for the l0 Pseudonorm and Applications to Sparse Optimization
sparse polynomial system	Solving sparse polynomial systems using Groebner bases
Sparsity	L0-Regularized Huber Loss Function - ****CANCELLED**** Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso Chance Constrained AC Optimal Power Flow with Sparse Polynomial Chaos Expansion
Stackelberg Security Games	Random Allocations, Fairness and Implementability in Stackelberg Security Games
state constraints	Deep learning numerical methods for Hamilton Jacobi equations - ****CANCELLED****
Stochastic Control	Representation formulas for limit values of long run stochastic optimal controls Linear–Quadratic optimal control for a class of stochastic Volterra equations: solvability and approximation
Stochastic Equilibrium	Strategic behaviour of risk-averse agents under stochastic market clearing
Stochastic facility location	Design of a charging infrastructure for electric vehicles under a stochastic driving range
stochastic games	Solving Perfect Information Mean Payoff Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration
Stochastic gradient descent	Online Restart Strategies for SGD
Stochastic Optimal Control	McKean Stochastic Optimal Control of an Energy Storage System to reduce demand variability
stochastic optimisation	Bregman Proximal Methods Revisited for Solving Variational Inequalities with Singularities ***Cancelled***
stochastic optimization	Model Consistency for Learning with Low-complexity Priors A decomposition method by component for the optimization of maintenance scheduling An Inertial Newton Algorithm for Deep Learning with Convergence Guarantees SMS++: a Structured Modelling System for Optimization An adaptive stochastic optimization algorithm for resource allocation Improving the convergence of Stochastically perturbed Nesterov's accelerated Forward-Backward Optimal reserve sizing for frequency regulation
stochastic process	Design of optimal maintenance strategies using piecewise deterministic Markov processes Improvement of condition-based maintenance for a guaranteed level of service on a fleet of equipment
Stochastic Programming	Constraint Generation for Risk Averse Two-Stage Stochastic Programs Strategic behaviour of risk-averse agents under stochastic market clearing Scenario and Stage Decompositions for Planning Energy Investment under Uncertainty ***Cancelled***
stochastic variance-reduced methods	Towards closing the gap between the theory and practice of SVRG
Stochastic Vehicle Scheduling Problem	Learning to Price: Structured Learning to scale up Column Generation
STOR	Economical assessment of different usage of microgrid battery storage in the UK market context
Storage	Optimization of the power mix and the remuneration of the electric vehicles with VGI facilites
Structured Learning	Learning to Price: Structured Learning to scale up Column Generation
Structured sparsity	Model Consistency for Learning with Low-complexity Priors
sufficient conditions	L0-Regularized Huber Loss Function - ****CANCELLED****
Supervised learning	Model Consistency for Learning with Low-complexity Priors
Support recovery	Model Consistency for Learning with Low-complexity Priors
SVRG	Towards closing the gap between the theory and practice of SVRG
T
Telecommunications	Optimizing Battery Usage for a Telecommunications Company Participating in a Curtailing Market
Tensor Calculus	Tensor Decomposition for High-dimensional Hamilton-Jacobi-Bellman Equations
Thermo mechanical constraint	Topology optimization of support structures for thermo-mechanical constraints in powder bed additive manufacturing
Topological derivative	A consistent relaxation of optimal design problems for coupling shape and topological derivatives Coupled optimization of both structure and mechanical connections (location and number)
Topology optimization	Null Space Gradient Flows for Constrained Optimization with Applications to Shape Optimization A consistent relaxation of optimal design problems for coupling shape and topological derivatives Coupled optimization of both structure and mechanical connections (location and number) Robust topology optimization of nanophotonic devices TOPOLOGY OPTIMIZATION IN BRITTLE FRACTURE MECHANICS USING LEVEL-SETS Topology optimization of support structures for thermo-mechanical constraints in powder bed additive manufacturing
train delay	Delay propagation on a suburban railway network
Transport	Improving MCTS approaches for Vehicle Routing Problems
Two reservoirs	A Lagrangian Decomposition for Hydro Unit Commitment Problem With Two Reservoir
U
unbalanced OT	Sinkhorn Divergences for Unbalanced Optimal Transport
uncertainties analysis	Stochastic Model for the Uncertainties in the Long-Term Prediction of Run-of-River Hydropower Generation
Uncertainty Quantification	Chance Constrained AC Optimal Power Flow with Sparse Polynomial Chaos Expansion
Unconstrained optimization	Unconstrained nonlinear relaxations in global optimization
Unit commitment	Strategic bidding in Price Coupled Regions - ****CANCELLED****
unsupervised learning	Learning step sizes for unfolded sparse coding
untrusted advice	Online Computation with Untrusted Advice
V
valid inequalities	Routing and Slot Allocation in 5G Hard Slicing
variance reduction	Solving Perfect Information Mean Payoff Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration
Variational Equilibrium	Peer-to-peer Electricity Market Analysis: from Variational to Generalized Nash Equilibrium
variational inference	Delay propagation on a suburban railway network
Vehicle routing problem	A DSS based on hybrid metaheuristic for waste collection routing problem with time windows
Verification	Exact Verification of Piecewise Affine Dynamical Systems
VRP	Improving MCTS approaches for Vehicle Routing Problems
W
Wasserstein distance	General Risk Measures for Robust Machine Learning
water networks	An extended LP formulation for the water pump scheduling problem
Wolfe duality	Unconstrained nonlinear relaxations in global optimization
Worst-case complexity	Newton-Conjugate Gradient Methods with Complexity Guarantees

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