PGMODAYS 2018: PGMODAYS 2018

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

$
$l_0$ ``norm''	Dual Problems for Exact Sparse Optimization
0
0-1 Linear Programming	An optimization approach for balancing maintenance costs and electricity consumption in Cloud Data Centers
A
Acceleration	On variance reduction for stochastic optimization with multiplicative noise
Access Point Selection	Dynamic Access Point Selection and Resource Allocation in Multi-technology Wireless Network
Ad auctions	ROI constrained Auctions
Adaptive solution	A MILP Formulation for Adaptive Solutions in Railway Scheduling
aerospace engineering
aerospace systems	Real-time optimal control of aerospace systems with state-control constraints and delays.
air traffic control	Predicting aircraft type from radar based trajectory measurements
Airline Industry	Worldwide Passenger Flows Estimation
algebraic degree	A lower bound on the positive semidefinite rank of convex bodies
Algorithm Configuration	Towards Online Algorithm Configuration: A Case Study
Algorithms	Efficient Algorithms in Hyperbolic Programming
Alpha Fairness	Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed SDNs
Alternating Directions Method of Multipliers	Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed SDNs
anisotropic eikonal equation	Computation of most threatening trajectories over blindness maps of a radar network
anomaly clustering	A multivariate extreme value theory approach to anomaly clustering and visualization
anomaly detection	A multivariate extreme value theory approach to anomaly clustering and visualization
Approximation algorithms	Some advances and perspectives in the PGMO SOOT project on over-time optimization
asymptotic value	Communicating Zero-Sum Product Stochastic Games
asynchronous algorithms	Asynchronous level bundle methods
Auction theory	ROI constrained Auctions
availability	Optimisation of maintenance strategies with piecewise deterministic Markov processes
B
balancedness	Some new results on generalized additive games
Basis Pursuit	Sparse Recovery via Convex Quadratic Splines
Bayesian optimization	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
benchmarking	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
Bender Decomposition	A Trust Region Algorithm for the DA/ID Problem
Benders decomposition	A multi-stage stochastic integer programming approach for locating electric vehicles recharging stations under demand uncertainty Benders decomposition for the Virtual network function placement and routing problem (VNFP-RP)
Bidding strategy	ROI constrained Auctions
Bilevel optimization	Multi-leader disjoint-follower game: formulation and regularity of stationary points Strategic bidding in Price Coupled Regions
Bilevel programming	How to use tropical geometry to solve bilevel programming problems ? A Rolling Horizon Method for a Bilevel Demand Side Management Problem
Birkoff-James orthogonality	New hints on Campanato’s nearness condition
bounded curvature	Planar curves of minimum length with bounded curvature and applications to marine seismic operations
Bundle Methods	A Trust Region Algorithm for the DA/ID Problem
C
Campanato nearness condition	New hints on Campanato’s nearness condition
cancer therapy	Towards the optimization of a new type of cancer therapy
Capacity adjustment	Lot sizing with capacity adjustment and intermittent renewable energy
capacity planning framework	A Capacity Planning Framework for Energy-Efficient Data Centers
chattering	Generic Fuller singularities of single-input control-affine systems
Classification	Predicting aircraft type from radar based trajectory measurements
Cloud Computing	An optimization approach for balancing maintenance costs and electricity consumption in Cloud Data Centers
Cloud System	Stochastic Optimization of Energy Consumption and Performance in a Cloud System
clustering	A stochastic data-based traffic model applied to energy consumption estimation Optimization of multimodal routing problems
CMA-ES	Large-scale variants of CMA-ES for radar optimization problems
Co-clustering	Model-Based Functional Co-Clustering for the Analysis and the Prediction of Electric Power Consumption
co-coercivity	On some nonmonotone variational inequalities
Column Generation	Exact column generation for the electrical vehicle scheduling problem
Combinatorial optimization	Benders decomposition for the Virtual network function placement and routing problem (VNFP-RP) Optimization of Radar Search Patterns for Three-Dimensional Phased-Array Radars
communication property	Communicating Zero-Sum Product Stochastic Games
Competitive ratio	Online Maximum Matching with Recourse
completion time	Multivariate stochastic ordering and tasks graphs with correlated random delays
Complexity	Lot sizing with capacity adjustment and intermittent renewable energy
computer algebra	Efficient algorithms for answering connectivity queries on real algebraic sets defined by quadrics
Congestion games	A Nonatomic Congestion Game Approach to Net (Non-)Neutrality
connectivity	Efficient algorithms for answering connectivity queries on real algebraic sets defined by quadrics
Constrained Shortest Path Problem	A Decomposition Method for the Cascade Hydro Unit Commitment Problem
Contextual Bandits	Revisiting the greedy algorithm for contextual bandits
Continuous convex non smooth optimization	Robust classification with feature selection using alternating minimization and Douglas-Rachford splitting method
continuous optimization	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
Control	ROI constrained Auctions
Convex geometry	The shadow vertex algorithm solves colorful one-versus-all tropical polynomial systems
Convex optimization	A generic coordinate descent solver for nonsmooth convex optimization
Coordinate descent	A generic coordinate descent solver for nonsmooth convex optimization
Correlation clustering	Correlation Clustering Problem with Mediations Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis
Coupling Driving/Charging	Incentive design for coupled electric vehicles driving and charging strategies in smart cities
cycle inequalities	Linear size MIP formulation of Max-Cut: new properties, links with cycle inequalities and computational results
D
Data Science Competition	Platform for Data Science Competitions on Data Streams
Day-ahead market	Strategic bidding in Price Coupled Regions
deadline	Robust proactive maintenance planning with a deadline
decision making under uncertainty	Thompson Sampling for the Non-stationary Stochastic Multi-Armed Bandit
Decision Support	On Designing Energy Storage Systems
Decomposition	SMS++: a Structured Modeling System with Applications to Energy Optimization
decomposition-coordination	Mixing Decomposition-Coordination Methods in Multistage Stochastic Optimization
decomposition/coordination	Mixing Dynamic Programming and Scenario Decomposition Methods Mixing Dynamic Programming and Spatial Decomposition Methods
deep learning	Augmentation d'une base de données de nuages par synthèse Smart Charging of Electric Car using Deep Reinforcement Learning
Demand side management	A Rolling Horizon Method for a Bilevel Demand Side Management Problem
Density Estimation	Aircraft trajectory optimization under unknown dynamics
Direct method	Geometric and numerical methods for the saturation problem in Magnetic Resonance Imaging
Dirichlet conditions	Minimal-time MFG: some progress with and without diffusion
Discrete convexity	How to use tropical geometry to solve bilevel programming problems ?
Discrete optimization	A MILP Formulation for Adaptive Solutions in Railway Scheduling
Discrete-time affine systems	Exact verification of discrete-time affine dynamical systems
distributed computing	Asynchronous level bundle methods
Distributed SDN Control Planes	Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed SDNs
document representation	Novelty detection in textual data streams
dual effect	Dual Particle Output Feedback Control based on Lyapunov drifts for nonlinear systems
Dynamic chance constraints	Dynamic chance constraints under continuous random distribution
dynamic games	Zero sum repeated games with varying duration
dynamic programming	Mixing Dynamic Programming and Scenario Decomposition Methods Mixing Dynamic Programming and Spatial Decomposition Methods Upper and lower bounds for an energy scheduling problem with piecewise-linear costs and storage resources
Dynamic sampling	On variance reduction for stochastic optimization with multiplicative noise
E
Eddy-current approximation	Shape reconstruction of deposits inside a steam generator using eddy current measurements
Efficiency of equilibria
electric power consumption	Model-Based Functional Co-Clustering for the Analysis and the Prediction of Electric Power Consumption
electric vehicle	A multi-stage stochastic integer programming approach for locating electric vehicles recharging stations under demand uncertainty
Electric Vehicles	Incentive design for coupled electric vehicles driving and charging strategies in smart cities
Eletrical Vehicle Scheduling Problem	Exact column generation for the electrical vehicle scheduling problem
Elliptic PDEs	New hints on Campanato’s nearness condition
empirical risk minimization	Finite Sample Bounds for Superquantile Linear Prediction
energy consumption efficiency	A Capacity Planning Framework for Energy-Efficient Data Centers
Energy Optimization	SMS++: a Structured Modeling System with Applications to Energy Optimization
Energy Storage Systems	On Designing Energy Storage Systems
Energy-aware production planning	Lot sizing with capacity adjustment and intermittent renewable energy
Energy-efficiency	An optimization approach for balancing maintenance costs and electricity consumption in Cloud Data Centers
Ensemble methods	Hybrid models for time series forecasting. Application to capacity planning
Entropy minimization	An entropy minimization approach to second-order variational mean-field games
Enumeration algorithms	Correlation Clustering Problem with Mediations
Equilibrium	ROI constrained Auctions
Ergodicity	On the long time convergence of potential Mean Field Games
European Parliament	Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis
evolution strategies	Large-scale variants of CMA-ES for radar optimization problems
evolutionary therapy	Towards the optimization of a new type of cancer therapy
expensive objective functions	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
Exploitation-exploration tradeoff	Revisiting the greedy algorithm for contextual bandits
extensive form	Games with information. Witsenhausen intrinsic model.
F
Face enumeration	How to use tropical geometry to solve bilevel programming problems ?
facility location	A multi-stage stochastic integer programming approach for locating electric vehicles recharging stations under demand uncertainty
failure	Forecasting failure on Paris network utility
Fatigue	An optimization approach for balancing maintenance costs and electricity consumption in Cloud Data Centers
feature selection	Robust classification with feature selection using alternating minimization and Douglas-Rachford splitting method
Fenchel transform	A Dual Stochastic Dual Dynamic Programming algorithm
Fenchel-Moreau conjugacy	Dual Problems for Exact Sparse Optimization
Fictitious play	Learning and convergence analysis in finite mean field games
Finite time and finite state space	Learning and convergence analysis in finite mean field games
First order systems	Learning and convergence analysis in finite mean field games
Flow interchange	Variational Mean Field Games: on estimates for the density and the pressure and their consequences for the Lagrangian point of view
Fokker-Planck equation	An entropy minimization approach to second-order variational mean-field games
Forecasting	Hybrid models for time series forecasting. Application to capacity planning
FSO	Robust network dimensioning – the case of FSO networks
Fuller phenomenon	Generic Fuller singularities of single-input control-affine systems
functional data	Model-Based Functional Co-Clustering for the Analysis and the Prediction of Electric Power Consumption
functional data analysis	A multivariate extreme value theory approach to anomaly clustering and visualization
G
Game theory	Incentive design for coupled electric vehicles driving and charging strategies in smart cities Zero sum repeated games with varying duration Thompson Sampling for the Non-stationary Stochastic Multi-Armed Bandit Games with information. Witsenhausen intrinsic model.
GAN	Augmentation d'une base de données de nuages par synthèse
Gaussian Processes	Bayesian Optimization for non-stationary problems using Deep Gaussian Processes
Genericity	Multi-leader disjoint-follower game: formulation and regularity of stationary points
genetic algorithm	A multi-stage stochastic integer programming approach for locating electric vehicles recharging stations under demand uncertainty
Geometric optimal control	Geometric and numerical methods for the saturation problem in Magnetic Resonance Imaging
Global optimization	Optimization for membrane gas separation processes Bayesian Optimization for non-stationary problems using Deep Gaussian Processes
Gradient flows	Self-contracted curves and extension
Graph algorithms	Some advances and perspectives in the PGMO SOOT project on over-time optimization A tabu search for the design of robust capacitated Steiner planar networks
Graph Partitioning	Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis
Graph Theory	A Decomposition Method for the Cascade Hydro Unit Commitment Problem
graphs	Most Critical Elements for Optimization Problems
H
Hamilton-Jacobi approach	Optimal control and differential games
Hamilton-Jacobi equation	Variational Mean Field Games: on estimates for the density and the pressure and their consequences for the Lagrangian point of view
Hamilton-Jacobi equations	Minimal-time MFG: some progress with and without diffusion
Hamilton-Jacobi-Bellman approach	Pareto front characterization for finite horizon optimal control problems with two different objectives
Handover	Dynamic Access Point Selection and Resource Allocation in Multi-technology Wireless Network
Heuristics	Towards Online Algorithm Configuration: A Case Study
HJB	ROI constrained Auctions
homotopy and continuity methods	Real-time optimal control of aerospace systems with state-control constraints and delays.
Hotelling Games
Huber loss	Sparse Recovery via Convex Quadratic Splines
Hybrid models	Hybrid models for time series forecasting. Application to capacity planning
hybrid numeric-symbolic algorithm	On Exact Polynomial Optimization through Sums of Squares
Hydro Unit Commitment	HIG: the Hydro unit commitment Instances Generator
Hydro Unit Commitment Problem	A Decomposition Method for the Cascade Hydro Unit Commitment Problem
Hyperbolic Polynomials	Efficient Algorithms in Hyperbolic Programming
Hyperbolic Programming	Efficient Algorithms in Hyperbolic Programming
I
ILP model	A Capacity Planning Framework for Energy-Efficient Data Centers
imperfect state information	Dual Particle Output Feedback Control based on Lyapunov drifts for nonlinear systems
Impulse control	Optimisation of maintenance strategies with piecewise deterministic Markov processes
Incomplete Information	Mean field games with incomplete information
increasing convex bound	Stochastic bounds for Max Flow with random capacity
Incremental	MISSO: Minimization by Incremental Stochastic Surrogate for large-scale nonconvex Optimization
indirect methods	Real-time optimal control of aerospace systems with state-control constraints and delays.
information	Games with information. Witsenhausen intrinsic model.
Information Flow Processing	Platform for Data Science Competitions on Data Streams
Instances Generator	HIG: the Hydro unit commitment Instances Generator
Intelligent transportation systems	A stochastic data-based traffic model applied to energy consumption estimation
interdiction problem	Robust proactive maintenance planning with a deadline
inverse control
inverse optimal control	Inverse optimal control problem: the linear-quadratic case
Inverse problems	Shape reconstruction of deposits inside a steam generator using eddy current measurements
L
Lagrangian Decomposition	A Decomposition Method for the Cascade Hydro Unit Commitment Problem
large-scale optimization	A multigrid interior point method for large scale topology optimization Large-scale variants of CMA-ES for radar optimization problems
Learning	Mean field games with incomplete information Traffic Routing: Efficiency, Equilibrium, and Dynamics
level bundle methods	Asynchronous level bundle methods
Level set	Shape reconstruction of deposits inside a steam generator using eddy current measurements
Limit Value
Linear programming	Linear Programming for Influence Diagrams : exact approaches
linear-convergence	On some nonmonotone variational inequalities
linear-quadratic problem	Inverse optimal control problem: the linear-quadratic case
LNS	Optimization of multimodal routing problems
local search Heuristics	Stochastic Optimization of Energy Consumption and Performance in a Cloud System
Location games	Random Location games
Lot sizing	Lot sizing with capacity adjustment and intermittent renewable energy
Lot-sizing	Upper and lower bounds for an energy scheduling problem with piecewise-linear costs and storage resources
M
machine learning	Forecasting failure on Paris network utility
marine applications
Market equilibrium	Strategic bidding in Price Coupled Regions
Markov Chains	Stochastic Optimization of Energy Consumption and Performance in a Cloud System
Markov Decision Processes	The shadow vertex algorithm solves colorful one-versus-all tropical polynomial systems On Designing Energy Storage Systems
Mathematical Programming	Worldwide Passenger Flows Estimation HIG: the Hydro unit commitment Instances Generator
Mathematical programs with equilibrium constraints	Multi-leader disjoint-follower game: formulation and regularity of stationary points
Max Flow	Stochastic bounds for Max Flow with random capacity
Max-Cut	Linear size MIP formulation of Max-Cut: new properties, links with cycle inequalities and computational results
maximum cardinality matching	Online Maximum Matching with Recourse
Mean field approximation	How to use mean field approximation for 10 players?
Mean Field Games	Mean field games with incomplete information How to use mean field approximation for 10 players? Minimal-time MFG: some progress with and without diffusion Learning and convergence analysis in finite mean field games Variational Mean Field Games: on estimates for the density and the pressure and their consequences for the Lagrangian point of view On the long time convergence of potential Mean Field Games
Mean-Field Games	An entropy minimization approach to second-order variational mean-field games
medical imaging by NMR	Geometric and numerical methods for the saturation problem in Magnetic Resonance Imaging
Membrane gas separation process	Optimization for membrane gas separation processes
minimum time	Planar curves of minimum length with bounded curvature and applications to marine seismic operations
MINLP	Optimization for membrane gas separation processes
MIP formulation	Correlation Clustering Problem with Mediations
Mixed-integer programming	Upper and lower bounds for an energy scheduling problem with piecewise-linear costs and storage resources
Mobile data networks	How to use tropical geometry to solve bilevel programming problems ?
Model-based Reinforcement Learning	Aircraft trajectory optimization under unknown dynamics
modelling	Towards the optimization of a new type of cancer therapy
Modelling Systems	SMS++: a Structured Modeling System with Applications to Energy Optimization
Moment optimization	Geometric and numerical methods for the saturation problem in Magnetic Resonance Imaging
monotonicity	Some new results on generalized additive games
most vital	Most Critical Elements for Optimization Problems
Multi-armed bandit	Thompson Sampling for the Non-stationary Stochastic Multi-Armed Bandit
Multi-commodity flows	Robust network dimensioning – the case of FSO networks
Multi-leader-disjoint-follower problems	Multi-leader disjoint-follower game: formulation and regularity of stationary points
multi-objective optimization	Pareto front characterization for finite horizon optimal control problems with two different objectives
multi-objective problems
Multi-Path Resource Allocation	Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed SDNs
Multi-technology Wireless Networks	Dynamic Access Point Selection and Resource Allocation in Multi-technology Wireless Network
multigrid methods	A multigrid interior point method for large scale topology optimization
multiobjective	Most Critical Elements for Optimization Problems
Multiplex Signed Graph	Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis
Multiplicative noise	On variance reduction for stochastic optimization with multiplicative noise
Multitask learning	Wasserstein regularization for sparse multi-task regression
multivariate extreme theory	A multivariate extreme value theory approach to anomaly clustering and visualization
Multivariate stochastic ordering	Multivariate stochastic ordering and tasks graphs with correlated random delays
N
Nash equilibrium	Random Location games
Network Function Virtualization	Benders decomposition for the Virtual network function placement and routing problem (VNFP-RP)
Network neutrality	A Nonatomic Congestion Game Approach to Net (Non-)Neutrality
Network routing	Comparing Oblivious and Robust Routing Approaches
non-autonomous optimal control	Minimal-time MFG: some progress with and without diffusion
Non-holonomic optimal control	Computation of most threatening trajectories over blindness maps of a radar network
non-linear invariants	Toward a Database of Sharp Invariants on Time Series Characteristics
non-stationary environment	Thompson Sampling for the Non-stationary Stochastic Multi-Armed Bandit
Non-stationary Kriging	Bayesian Optimization for non-stationary problems using Deep Gaussian Processes
Nonanticipative strategies	Optimal control and differential games
Nonatomic congestion games	Traffic Routing: Efficiency, Equilibrium, and Dynamics
Nonatomic games	A Nonatomic Congestion Game Approach to Net (Non-)Neutrality
Nonconvex	MISSO: Minimization by Incremental Stochastic Surrogate for large-scale nonconvex Optimization
Nonlinear optimal control	Real-time optimal control of aerospace systems with state-control constraints and delays.
nonlinear programming	A multigrid interior point method for large scale topology optimization
Nonnegativity	An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization
Nonsmooth optimization	Asynchronous level bundle methods
novelty detection	Novelty detection in textual data streams
numerical approximation	Optimisation of maintenance strategies with piecewise deterministic Markov processes
Numerical Optimization	Towards Online Algorithm Configuration: A Case Study
O
O-D flows	Worldwide Passenger Flows Estimation
Occupation measure	Moments and convex optimization for analysis and control of nonlinear partial differential equations
online computation	Online Maximum Matching with Recourse
Online Learning	Revisiting the greedy algorithm for contextual bandits
operations research games	Some new results on generalized additive games
optimal control	Towards the optimization of a new type of cancer therapy Generic Fuller singularities of single-input control-affine systems Aircraft trajectory optimization under unknown dynamics Inverse optimal control problem: the linear-quadratic case Moments and convex optimization for analysis and control of nonlinear partial differential equations Planar curves of minimum length with bounded curvature and applications to marine seismic operations Robust Bang-Bang Control through redundancy
optimal control problem	Pareto front characterization for finite horizon optimal control problems with two different objectives
Optimal control problems	Optimal control and differential games
Optimal mini-batch	Optimal mini-batch size for stochastic variance reduced methods
Optimal transport	Wasserstein regularization for sparse multi-task regression
optimisation under uncertainty	Comparing Oblivious and Robust Routing Approaches
optimization	Computation of most threatening trajectories over blindness maps of a radar network MISSO: Minimization by Incremental Stochastic Surrogate for large-scale nonconvex Optimization Traffic Routing: Efficiency, Equilibrium, and Dynamics Optimization of multimodal routing problems
Optimization in dynamical systems	Exact verification of discrete-time affine dynamical systems
Over-time optimization	Some advances and perspectives in the PGMO SOOT project on over-time optimization
P
Partial differential equations	Moments and convex optimization for analysis and control of nonlinear partial differential equations
Partially observed markov decision processes	Linear Programming for Influence Diagrams : exact approaches
particle filter	Dual Particle Output Feedback Control based on Lyapunov drifts for nonlinear systems
PDE control	On the long time convergence of potential Mean Field Games
perfect recall	Games with information. Witsenhausen intrinsic model.
phase-coded waveforms	Large-scale variants of CMA-ES for radar optimization problems
Planar graphs	A tabu search for the design of robust capacitated Steiner planar networks
planning	Planar curves of minimum length with bounded curvature and applications to marine seismic operations
Polya's representation	On Exact Polynomial Optimization through Sums of Squares
Polynomial Optimization	On the construction of converging hierarchies for polynomial optimization based on certificates of global positivity
Polynomial time algorithm	Lot sizing with capacity adjustment and intermittent renewable energy
Population games	How to use mean field approximation for 10 players?
population monotonic allocation scheme (pmas)	Some new results on generalized additive games
positive semidefinite rank	A lower bound on the positive semidefinite rank of convex bodies
Positivstellensatz	On the construction of converging hierarchies for polynomial optimization based on certificates of global positivity
Probabilistic graphical models	Linear Programming for Influence Diagrams : exact approaches
probability functions	Dynamic chance constraints under continuous random distribution
project scheduling	Robust proactive maintenance planning with a deadline
proximal projection	On some nonmonotone variational inequalities
Putinar's representation	On Exact Polynomial Optimization through Sums of Squares
Q
Quality of service	A Nonatomic Congestion Game Approach to Net (Non-)Neutrality
R
radar	Predicting aircraft type from radar based trajectory measurements Large-scale variants of CMA-ES for radar optimization problems
Radar resources management	Optimization of Radar Search Patterns for Three-Dimensional Phased-Array Radars
Railway scheduling	A MILP Formulation for Adaptive Solutions in Railway Scheduling
Random choice	Random Location games
random discrete capacity	Stochastic bounds for Max Flow with random capacity
real algebraic geometry	Efficient algorithms for answering connectivity queries on real algebraic sets defined by quadrics
recourse	Online Maximum Matching with Recourse
Rectifiability	Self-contracted curves and extension
Regression	Wasserstein regularization for sparse multi-task regression Finite Sample Bounds for Superquantile Linear Prediction
Regularity	Multi-leader disjoint-follower game: formulation and regularity of stationary points
reinforcement	Smart Charging of Electric Car using Deep Reinforcement Learning
repeated games	Zero sum repeated games with varying duration
Resource Allocation	Dynamic Access Point Selection and Resource Allocation in Multi-technology Wireless Network
Resource Constrainted Shortest Paths	Exact column generation for the electrical vehicle scheduling problem
restricted co-coercivity	On some nonmonotone variational inequalities
restricted strong monotonicity	On some nonmonotone variational inequalities
Robust Control	Robust Bang-Bang Control through redundancy
Robust Optimization	Robust network dimensioning – the case of FSO networks Exact verification of discrete-time affine dynamical systems
robustness	Robust proactive maintenance planning with a deadline
Rolling stock	A MILP Formulation for Adaptive Solutions in Railway Scheduling
runtime analysis	Runtime Analysis for Self-adaptive Mutation Rates
S
Sat-Valued Analysis	New hints on Campanato’s nearness condition
Scheduling under energy constraints and costs	Upper and lower bounds for an energy scheduling problem with piecewise-linear costs and storage resources
Schroedinger bridges	An entropy minimization approach to second-order variational mean-field games
SDDP	A Trust Region Algorithm for the DA/ID Problem A Dual Stochastic Dual Dynamic Programming algorithm
selection	Most Critical Elements for Optimization Problems
self-adaptive evolutionary algorithms	Runtime Analysis for Self-adaptive Mutation Rates
Self-contracted curves	Self-contracted curves and extension
Semi-definite programming	Exact verification of discrete-time affine dynamical systems
semi-metric polytope	Linear size MIP formulation of Max-Cut: new properties, links with cycle inequalities and computational results
Semidefinite programming	A lower bound on the positive semidefinite rank of convex bodies Moments and convex optimization for analysis and control of nonlinear partial differential equations Efficient Algorithms in Hyperbolic Programming On Exact Polynomial Optimization through Sums of Squares On the construction of converging hierarchies for polynomial optimization based on certificates of global positivity
Service Function Chaining	Benders decomposition for the Virtual network function placement and routing problem (VNFP-RP)
Set covering	Optimization of Radar Search Patterns for Three-Dimensional Phased-Array Radars
Shape optimization	Shape optimization for a fluid flow via topological gradient method Shape reconstruction of deposits inside a steam generator using eddy current measurements
Sharp linear invariants	Toward a Database of Sharp Invariants on Time Series Characteristics
Shooting and continuation techniques	Geometric and numerical methods for the saturation problem in Magnetic Resonance Imaging
Signed graph	Correlation Clustering Problem with Mediations
simulation-based optimization	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
Sinkhorn algorithm	An entropy minimization approach to second-order variational mean-field games
smart charging	Smart Charging of Electric Car using Deep Reinforcement Learning
Smart grid	A Rolling Horizon Method for a Bilevel Demand Side Management Problem
Software Defined Networks	Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed SDNs
Software Dened Networking	Benders decomposition for the Virtual network function placement and routing problem (VNFP-RP)
Solver implementation	A generic coordinate descent solver for nonsmooth convex optimization
sparse optimization	Dual Problems for Exact Sparse Optimization
Sparse recovery	Sparse Recovery via Convex Quadratic Splines
Sparsity	Wasserstein regularization for sparse multi-task regression
State constraints	Viability of an Open Set for Stochastic Control Systems
Stochastic approximation	On variance reduction for stochastic optimization with multiplicative noise
Stochastic average gradient descent	Optimal mini-batch size for stochastic variance reduced methods
Stochastic Control	Viability of an Open Set for Stochastic Control Systems
stochastic dynamic programming	Mixing Decomposition-Coordination Methods in Multistage Stochastic Optimization
stochastic games	Communicating Zero-Sum Product Stochastic Games
stochastic Lyapunov drift	Dual Particle Output Feedback Control based on Lyapunov drifts for nonlinear systems
Stochastic optimization	Mixing Decomposition-Coordination Methods in Multistage Stochastic Optimization Mixing Dynamic Programming and Scenario Decomposition Methods Mixing Dynamic Programming and Spatial Decomposition Methods On Designing Energy Storage Systems Stochastic Optimization of Energy Consumption and Performance in a Cloud System A Rolling Horizon Method for a Bilevel Demand Side Management Problem
Stochastic Pert networks	Multivariate stochastic ordering and tasks graphs with correlated random delays
stochastic process	Optimisation of maintenance strategies with piecewise deterministic Markov processes
stochastic programming	A multi-stage stochastic integer programming approach for locating electric vehicles recharging stations under demand uncertainty Dynamic chance constraints under continuous random distribution Mixing Decomposition-Coordination Methods in Multistage Stochastic Optimization Mixing Dynamic Programming and Scenario Decomposition Methods Mixing Dynamic Programming and Spatial Decomposition Methods A Dual Stochastic Dual Dynamic Programming algorithm
Stochastic variance reduced methods	Optimal mini-batch size for stochastic variance reduced methods
Stokes equations	Shape optimization for a fluid flow via topological gradient method
Stream Data Mining	Platform for Data Science Competitions on Data Streams
strong stochastic bound	Stochastic bounds for Max Flow with random capacity
strongly monotonicity	On some nonmonotone variational inequalities
Structural Balance	Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis
Sum of nonnegative circuit polynomials	An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization
Sum of squares	An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization
Sum of squares optimization	On the construction of converging hierarchies for polynomial optimization based on certificates of global positivity
sums of squares decomposition	On Exact Polynomial Optimization through Sums of Squares
superquantile	Finite Sample Bounds for Superquantile Linear Prediction
Supervised classification	Robust classification with feature selection using alternating minimization and Douglas-Rachford splitting method
surrogate-model-based optimization	Benchmarking Results of Bayesian, Stochastic, and Classical Solvers on Expensive Numerical Blackbox Problems
Survivable networks	A tabu search for the design of robust capacitated Steiner planar networks
Synthesis	Augmentation d'une base de données de nuages par synthèse
System Identification	Aircraft trajectory optimization under unknown dynamics
T
Tabu search	A tabu search for the design of robust capacitated Steiner planar networks
text mining	Novelty detection in textual data streams
text stream	Novelty detection in textual data streams
theory	Runtime Analysis for Self-adaptive Mutation Rates
Time series	Hybrid models for time series forecasting. Application to capacity planning
time-series	Toward a Database of Sharp Invariants on Time Series Characteristics
times series	Predicting aircraft type from radar based trajectory measurements Forecasting failure on Paris network utility
Topological gradient	Shape optimization for a fluid flow via topological gradient method
Topological sensitivity	Shape optimization for a fluid flow via topological gradient method
topology optimization	A multigrid interior point method for large scale topology optimization
traffic engineering	Comparing Oblivious and Robust Routing Approaches
Traffic routing	Traffic Routing: Efficiency, Equilibrium, and Dynamics
Trajectory reconstruction	Optimal control and differential games
Transfarable Utility (TU-)games	Some new results on generalized additive games
transport	Optimization of multimodal routing problems
triangle inequalities	Linear size MIP formulation of Max-Cut: new properties, links with cycle inequalities and computational results
Tropical algebra	The shadow vertex algorithm solves colorful one-versus-all tropical polynomial systems
Tropical geometry	How to use tropical geometry to solve bilevel programming problems ?
Trust Region	A Trust Region Algorithm for the DA/ID Problem
TSP	Optimization of multimodal routing problems
U
Uncertain Systems	Robust Bang-Bang Control through redundancy
Unconstrained polynomial optimization	An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization
uniform value	Communicating Zero-Sum Product Stochastic Games
Unit commitment	Strategic bidding in Price Coupled Regions
Unit Commitment Problem	SMS++: a Structured Modeling System with Applications to Energy Optimization
V
Variance reduction	On variance reduction for stochastic optimization with multiplicative noise
variational inequality	On some nonmonotone variational inequalities
Variational Inference	MISSO: Minimization by Incremental Stochastic Surrogate for large-scale nonconvex Optimization
Verification	Exact verification of discrete-time affine dynamical systems
Viability	Viability of an Open Set for Stochastic Control Systems
Viscosity solutions	Optimal control and differential games
visualization techniques	A multivariate extreme value theory approach to anomaly clustering and visualization
VRP	Optimization of multimodal routing problems
W
Wasserstein distance	A stochastic data-based traffic model applied to energy consumption estimation
Wasserstein space	Variational Mean Field Games: on estimates for the density and the pressure and their consequences for the Lagrangian point of view
weak KAM Theory	On the long time convergence of potential Mean Field Games
Z
zero sum	Communicating Zero-Sum Product Stochastic Games
zero-sum	Zero sum repeated games with varying duration

Disclaimer | Powered by EasyChair Smart Program