Program

WA-01: Opening
Stream: Plenary
Room: Fermat
Chair(s):

WB-01: Plenary - Martine LABBE
Stream: Plenary
Room: Fermat
Chair(s): Sonia Cafieri

• Linear bilevel optimization: overview and recent results
  Martine Labbé

WC-01: Analysis of Non Linear Algorithms I
Stream: Analysis of Non Linear algorithms
Room: Fermat
Chair(s): Tobias Seidel

• Duality and penalty function methods for a nonlinear programming problem
  Andrei Dan Halanay, Miruna Beldiman
• New Results on Superlinear Convergence of Classical Quasi-Newton Methods
  Anton Rodomanov, Yurii Nesterov
• Calculating local and global minima with quADAPT
  Tobias Seidel, Karl-Heinz Kuefer

WC-02: Advances in mathematical optimization for machine learning and data analysis - Part I
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s): Le Thi Khanh Hien

• An adaptive subsampled Hessian-free optimization method for statistical learning.
  Jeremy RIEUSSEC, Fabian Bastin, Jean Laprés-Chartrand, Loïc Shi-Garrier
• An Inertial Newton Algorithm for Deep Learning
  Camille Castera, Jerome Bolte, Cédric Févotte, Edouard Pauwels
• An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
  Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis

WC-03: Derivative-Free Optimization I
Stream: Derivative-Free Optimization
Room: Nash
Chair(s): Massimo Roma

• Regret Bounds for Noise-Free Bayesian Optimization
  Sattar Vakili
• On some Bayesian optimization recipes applied to mono-multi-fidelity constrained black box problems
  Nathalie Bartoli, Thierry Lefebvre, Youssef Diouane, Sylvain Dubreuil, Joseph Morlier
• On the use of Derivative-Free Optimization in design Discrete Event Simulation models for Emergency Departments
  Massimo Roma, Alberto De Santis, Tommaso Giovannelli, Stefano Lucidi, Mauro Messedaglia

WC-04: Optimisation in Aerospace Engineering
Stream: Optimisation in Aerospace Engineering
Room: Lagrange
Chair(s): Edmondo Minisci

• Minimum-fuel Low-thrust Earth-Moon Transfers in the Sun-Earth-Moon System
  Richard EPENOY
• Analysis of Nature Inspired Methods for Interplanetary Trajectory Problems
  Edmondo Minisci, Gabriela Ochoa
• Interoperating direct and indirect solvers in optimal control
  Olivier Cots, Jean-Baptiste Caillau, Pierre Martinon

WC-05: Variational Methods in Vector and Set Optimization
Stream: Multiobjective Optimization
Room: Pontryagin
Chair(s): César Gutiérrez, Gabriele Eichfelder

• Stability of set optimization problems
  Ruben Lopez, Elvira Hernández
• A Vectorization Scheme for Nonconvex Set Optimization Problems
  Stefan Rocktäschel, Gabriele Eichfelder, Ernest Quintana
• Ekeland variational principles in vector equilibrium problems
  César Gutiérrez

WC-06: Applications of Optimization I
Stream: Applications of Optimization
Room: Moreau
Chair(s): Michal Kocvara

• Topological optimization of porous architectural materials using a multiphysics homogenization method
  Godfred AGYEKUM OHENEBA, Laurent Cangemi, François JOUVE
• A Primal-Dual Augmented Lagrangian Algorithm for SDPs in truss topology design
  Arefeh Kavand
• An Interior-Point Method for Low-Rank Semidefinite Programming with Application to Truss Topology Design
  Soodeh Habibi, Michal Kocvara

WD-01: Analysis of Non Linear Algorithms II
Stream: Analysis of Non Linear algorithms
Room: Fermat
Chair(s): Vladimir Shikhman

• An Interior Point-Proximal Method of Multipliers for Convex Programming
  Spyridon Pougkakiotis, Jacek Gondzio
• Topological approach to mathematical programs with switching constraints
  Vladimir Shikhman
• Local convergence of tensor methods
  Nikita Doikov, Yurii Nesterov

WD-02: Advances in mathematical optimization for machine learning and data analysis - Part II
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs
  Manon Romain
• An adaptive, accelerated algorithm for stochastic constrained convex optimization
  Ali Kavis, Kfir Levy, Francis Bach, Volkan Cevher
• Recent Advanced in the Theory of (Adaptive) Stochastic Gradient Methods
  Vivak Patel

WD-03: Interfaces between Optimization and Game Theory
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Laura Rosa Maria Scrimali

• Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems
  Veronica Piccialli, Giampaolo Liuzzi, Marco Locatelli, Stefan Rass
• Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
  Pavel Dvurechensky
• Solving non-monotone equilibrium problems via a DIRECT-type approach
  Mauro Passacantando, Stefano Lucidi, Francesco Rinaldi

WD-04: Applications of Optimization II
Stream: Applications of Optimization
Room: Lagrange
Chair(s): Sebastien Bourguignon

• Continuous optimization of Fourier sampling schemes for MRI
  Alban Gossard, Frédéric de Gournay, Pierre Weiss
• GPU-Accelerated Plan Optimization for Intensity-Modulated Radiotherapy
  Juan José Moreno Riado, Janusz Miroforidis, Dmitry Podkopaev, Ernestas Filatovas, Ignacy Kaliszewski, Ester M Garzon
• Optimization of molecular descriptors using memetic algorithms
  Savíns Puertas Martín, Juana Lopez Redondo, Horacio Pérez-Sánchez, Pilar M. Ortigosa

WD-05: Polynomial Optimization I
Stream: Polynomial Optimization
Room: Pontryagin
Chair(s): Marek Tyburec

• Sparse moment-sum-of-squares relaxations for nonlinear dynamical systems with guaranteed convergence
  Corbinian Schlosser, Milan Korda
• Polynomial optimization applied to set computation
  Benoît Legat, Raphaël M. Jungers
• Exploiting constant trace property in large-scale polynomial optimization
  Ngoc Hoang Anh Mai, Jean Bernard Lasserre, Victor Magron

WD-06: Energetic and Environmental Applications of Optimization I
Stream: Energetic and Environmental Applications of Optimization
Room: Moreau
Chair(s): Juana Lopez Redondo

• Decomposition of long-term investment optimization models for large-scale integration of wind power in Europe
  Caroline Granfeldt
• ETS, Emissions and the Energy-Mix Problem
  Paolo Falbo
• Optical characterization of heliostat facets through computational optimization
  N.C. Cruz, R. Monterreal, Juana Lopez Redondo, J. Fernández-Reche, R.E. Orts, Pilar M. Ortigosa

WE-01: EUROPT Fellow 2020 Lecture
Stream: Plenary
Room: Fermat
Chair(s): Laura Palagi, Giancarlo Bigi

• Nonsmooth Optimization for Classification Problems in Machine Learning
  Manlio Gaudioso

WF-01: ADMM, block variants and proximality
Stream: Alternating Direction Method of Multipliers and its Applications
Room: Fermat
Chair(s): Jacek Gondzio

• A block symmetric Gauss-Seidel decomposition theorem for convex quadratic programming and its applications in multi-block ADMM
  Kim-Chuan Toh
• A purely numerical linear algebra view on ADMM
  Stefano Cipolla, Jacek Gondzio
• Primal-dual proximal methods with Bregman distances
  Xin Jiang, Lieven Vandenberghe
• Multi-Block ADMM – Managing Randomness and Data Privacy in Optimization Algorithm Design
  Yinyu Ye

WF-02: Beyond First-order Optimization Methods for Machine Learning - Part I
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s): Fred Roosta, Albert Berahas

• Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
  Albert Berahas, Frank E. Curtis
• Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
  Nicolas Loizou
• Systematic Second-order Methods for Training, Designing, and Deploying Neural Networks
  Amir Gholami
• Distributed Learning of Deep Neural Networks using Independent Subnet Training
  Anastasios Kyrillidis

WF-03: Mixed Integer Non Linear Programming
Stream: Mixed Integer Non Linear Programming
Room: Nash
Chair(s):

• Branch-and-bound algorithm applied to sparse optimization problems: a study of some exploration strategies.
  Gwenaël Samain, Jordan Ninin, Sebastien Bourguignon
• Continuous location in spaces with different lp-normed regions.
  Moisés Rodríguez-Madrena, Martine Labbé, Justo Puerto
• Large-scale Global Mixed-Integer Nonlinear Problems Solver by a Bi-level Generalized-CGRASP Metaheuristic Method
  João Lauro Faco', Ricardo Silva, Mauricio Resende
• Tightest linear reformulations for polynomial optimization with binary variables
  

WF-04: Constrained optimization methods and solvers in Julia
Stream: Constrained optimization methods and solvers in Julia
Room: Lagrange
Chair(s): Miguel Anjos

• Krylov methods in interior-point algorithms: a computational survey
  Mathieu Tanneau, Alexis Montoison
• Hypatia.jl: A Generic Nonsymmetric Conic Optimization Solver in Julia
  Chris Coey, Lea Kapelevich, Juan Pablo Vielma
• Conditional gradient methods for large-scale constrained optimization
  Mathieu Besançon, Sebastian Pokutta, Alejandro Carderera
• DiffOpt.jl differentiating your favorite optimization problems
  Joaquim Dias Garcia, Mathieu Besançon, Benoît Legat, Akshay Sharma

WF-05: Multiobjective Optimization: Uncertainty and Nonconvexity
Stream: Multiobjective Optimization
Room: Pontryagin
Chair(s): Gabriele Eichfelder

• A general branch-and-bound framework for global multiobjective optimization
  Oliver Stein
• Extending the Robust (Relative) Regret Approach to a Multicriteria Setting
  Patrick Groetzner, Ralf Werner
• Solving uncertain multiobjective optimization problems via epigraphical reformulations
  Ernest Quintana, Gabriele Eichfelder
• A New Directional Derivative for Set Optimization
  Gabriele Eichfelder, Robert Baier, Tobias Gerlach

WF-06: Conic Optimization and related topics
Stream: Conic Optimization and related topics
Room: Moreau
Chair(s): Paula Amaral

• Min-max regret for Standard QPs and nonconvex fractional QPs
  Immanuel Bomze, Paula Amaral, Patrick Groetzner
• On Standard Quadratic Programs with Exact and Inexact Doubly Nonnegative Relaxations
  E. Alper Yildirim, Yakup Görkem Gökmen
• Copositive based bounds on the clique number
  Paula Amaral, Immanuel Bomze
• Optimal parameter tuning for path-following methods in conic optimization
  Anastasiia Ivanova

TA-01: Non-smoothness, inexactness and applications
Stream: Alternating Direction Method of Multipliers and its Applications
Room: Fermat
Chair(s): Stefano Cipolla

• Differentiating non-smooth (minimisation or) saddle point problems
  Antonin Chambolle
• Principled analysis of methods with inexact proximal computations
  Mathieu BARRÉ, Adrien Taylor
• A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers
  Jeremy Cohen, Carla Schenker, Evrim Acar Ataman
• An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations
  Xiaoming Yuan

TA-02: Nonlinear Composite and Constrained Optimization - Part I
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• Proximal alternating minimization for solving discrete Mumford-Shah and Amborsio-Tortorelli models
  Hoang Trieu Vy LE, Marion Foare, Nelly Pustelnik
• Random extrapolation for primal-dual coordinate descent
  Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
• Primal-Dual Proximal Splitting Algorithms for Large-Scale Convex Optimization
  Laurent Condat, Adil Salim, Peter Richtarik
• On a Primal-Dual Newton Proximal Method for Convex Quadratic Programs
  Alberto De Marchi

TA-03: Game theory, multilevel and dynamic optimization I
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Mathias Staudigl

• Consistent Multiscale Control of Stackelberg Games
  Anna Thünen
• Approximation and exact penalization in hierarchical programming
  Giancarlo Bigi, Lorenzo Lampariello, Simone Sagratella
• Generalized Nash games with discontinuous cost functions: an new approach
  Didier Aussel, David Salas, Kien Cao Van
• Qualitative stability for solution map of parameterized Nash equilibrium problem and application
  Thanh Cong Lai Nguyen, Didier Aussel

TA-04: Optimization under Uncertainty and Applications I
Stream: Optimization under Uncertainty and Applications
Room: Lagrange
Chair(s): Eligius M.T. Hendrix

• Kernel Distributionally Robust Optimization
  Jia-Jie Zhu
• Optimal residential Microgrid operation considering Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) energy services
  
• Convex Optimization using Tunable First-Order Inexact Oracles
  Guillaume Van Dessel, François Glineur

TB-01: Optimization for Air Transportation
Stream: Optimization for Air Transportation
Room: Fermat
Chair(s): Andrija VIDOSAVLJEVIC

• Optimization for safe urban air mobility
  Mercedes Pelegrín, Claudia D'Ambrosio, Rémi Delmas, Youssef Hamadi
• Trajectory optimization for the computation of safe emergency trajectories
  Maëva ONGALE-OBEYI, Damien Goubinat, Pierre-loic Garoche, daniel delahaye
• New formulation for aircraft conflict avoidance problem using Sequential convex MINLP technique
  Renan Spencer Trindade, Claudia D'Ambrosio, Antonio Frangioni, Claudio Gentile
• Two-stage stochastic programming for the extended aircraft arrival management problem with multiple pre-scheduling points
  Ahmed Khassiba, Fabian Bastin, Sonia Cafieri, Bernard Gendron, Marcel Mongeau

TB-02: Nonlinear Composite and Constrained Optimization - Part II
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• A primal dual method for optimization with nonlinear constraints
  Mehmet Fatih Sahin
• Safe Screening for the Generalized Conditional Gradient Method
  Yifan Sun
• An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
  Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtarik
• Larger stepsizes for some primal-dual algorithms
  Ming Yan, Zhi Li

TB-03: Solution Techniques for Variational Inequalities
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Patrizia Daniele

• Pseudo-monotone variational inequalities: Dynamics and numerical schemes of Tseng type
  Robert Csetnek
• Variance Reduction schemes for stochastic Variational inequalities
  Mathias Staudigl
• A second order dynamical system and its discretization for strongly pseudo-monotone variational inequalities
  Vuong Phan
• Stochastic generalized Nash equilibrium seeking and Variational Inequalities
  Barbara Franci, Sergio Grammatico

TB-04: Energetic and Environmental Applications of Optimization II
Stream: Energetic and Environmental Applications of Optimization
Room: Lagrange
Chair(s): Catherine Choquet

• Mixed-Integer Nonlinear Optimization for District Heating Network Expansion
  Marius Roland, Martin Schmidt
• Response Surface Optimization of Continuous Packed Bed Adsorption Processes for Textile Wastewater Treatment
  Younes Abrouki, Abdelkader Anouzla, Hayat Loukili
• Numerical validation of a game theory approach for the optimal control problem of groundwater pollution
  Moussa Mory DIEDHIOU, Catherine Choquet

TB-06: Global Optimization
Stream: Global Optimization
Room: Moreau
Chair(s): Leocadio G. Casado

• Exact and heuristic algorithms for solving a MINLP sigle facility location and design problem for firm expansion
  
• Nested branch-and-bound algorithm for minmax problem and constraints with quantifiers
  Jordan Ninin, Dominique Monnet, Benoit Clement
• Towards accelerating global parameter estimation with reduced data sets
  Susanne Sass, Angelos Tsoukalas, Ian H. Bell, Dominik Bongartz, Jaromil Najman, Alexander Mitsos
• On simplex minds and monotonicity
  Eligius M.T. Hendrix, Leocadio G. Casado, Frederic Messine, Boglárka G.-Tóth

TC-01: EUROPT Fellow 2021 Lecture
Stream: Plenary
Room: Fermat
Chair(s): Miguel Anjos, Giancarlo Bigi

• Sums of squares of polynomials and graphs
  Monique Laurent

TD-01: Sparse and Large-Scale Optimization
Stream: Sparse and Large-Scale Optimization
Room: Fermat
Chair(s): Emmanuel Soubies

• On nondegenerate M-stationary points for mathematical programs with sparsity constraint
  Sebastian Lämmel
• AAR-Based Decomposition Method For Limit Analysis
  Nima Rabiei, Ali Almisreb
• Expanding Boundaries of Gap Safe Screening
  Cassio Dantas, Emmanuel Soubies, Cédric Févotte

TD-02: Advances in Douglas-Rachford method - Part I
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• Split-Douglas-Rachford for composite monotone inclusions and Split-ADMM
  Luis Briceño-Arias, Fernando Roldán
• Anderson Accelerated Douglas-Rachford Splitting
  Anqi Fu, Junzi Zhang, Stephen Boyd
• Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms
  Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos

TD-03: Advances in Variational Inequalities and Equilibrium Problems
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Robert Csetnek

• Optimal emergency evacuation with uncertainties
  Laura Rosa Maria Scrimali, Georgia Fargetta
• A stochastic variational approach to study economic equilibrium problem under uncertainty
  Domenico Scopelliti, Monica Milasi
• A variational approach for international human migration networks with and without regulations
  Patrizia Daniele, Anna Nagurney

TD-04: Polynomial Optimization II
Stream: Polynomial Optimization
Room: Lagrange
Chair(s): Corbinian Schlosser

• Topology optimization of discrete structures by polynomial optimization
  Marek Tyburec, Jan Zeman, Martin Kružík, Didier Henrion
• The approximation of measures by positive moment sequences
  Lorenzo Baldi, Bernard Mourrain
• RAPOSa: a polynomial optimization solver
  

TD-05: Optimal Control and Optimization in Economics, Finance and Management I
Stream: Optimal Control and Optimization in Economics, Finance and Management
Room: Pontryagin
Chair(s): Ioannis Baltas

• Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market
  Gerhard-Wilhelm Weber, Emel Savku
• Random oligopolistic market optimal equilibrium control problem
  Annamaria Barbagallo
• Optimal management of Defined Contribution pension funds during the distribution phase under the effect of inflation, mortality and uncertainty
  Ioannis Baltas, Athanasios Yannacopoulos, Gerhard-Wilhelm Weber

TD-06: Applications of Optimization III
Stream: Applications of Optimization
Room: Moreau
Chair(s): Jordan Ninin

• Network models for the human migration phenomenon
  Giorgia Cappello
• An approach on efficiency measure for a fully fuzzy DEA
  Manuel Arana-Jiménez
• Toolpath optimization for freeform surfaces machining
  mahfoud herraz, Jean-Max Redonnet, Marcel Mongeau, Mohammed Sbihi

TE-01: Optimization and Artificial Intelligence I
Stream: Optimization and Artificial Intelligence
Room: Fermat
Chair(s): Fabian Bastin

• Exploiting Sparse Decision Trees To Learn Minimal Rules
  Tommaso Aldinucci
• Improved Forward Selection Algorithms for Sparse Principal Component Analysis
  Mustafa Pinar
• Kernel Regression with Hard Shape Constraints
  
• Leveraging deep reinforcement learning through the framework of operations research
  Ysaël Desage, Fabian Bastin, François Bouffard

TE-02: Beyond First-order Optimization Methods for Machine Learning - Part II
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s): Fred Roosta, Albert Berahas

• Full-low evaluation type methods for derivative-free optimization
  Luis Nunes Vicente, Albert Berahas, Oumaima Sohab
• Invexification of Non-Linear Least-Squares Problems
  Fred Roosta
• Inexact Restoration with Subsampled Trust-region methods for finite-sum minimization
  Stefania Bellavia, Natasa Krejic, Benedetta Morini
• Retrospective Approximation for Stochastic Optimization
  Raghu Bollapragada
• Global optimization using random embeddings
  Estelle Massart, Coralia Cartis, Adilet Otemissov

TE-03: Optimal Control and Applications I
Stream: Optimal Control and Applications
Room: Nash
Chair(s): Theodore Trafalis

• Optimal control problems on stratified spaces
  Othmane Jerhaoui
• Zero-Sum Deterministic Differential Game in Infinite Horizon with Continuous and Impulse Controls
  HAFID LALIOUI
• Mixed Zero-Sum Stochastic Differential Game and Doubly Reflected BSDEs with a Specific Generator.
  Nacer OURKIYA
• Learning-Based Nonlinear H-infinity Control via Game-Theoretic Differential Dynamic Programming
  Wei Sun, Theodore Trafalis

TE-04: Advanced Optimization Methods I
Stream: Advanced Optimization Methods
Room: Lagrange
Chair(s): Marat Mukhametzhanov

• Reduced-Order Parameter Optimization by Sequential ALIENOR method
  Daniele Peri
• Univariate Lipschitz Global Optimization Methods for Finding the Shape Parameter Value in Radial Basis Functions
  Marat Mukhametzhanov, Yaroslav Sergeyev
• On a new shape derivative formula based approach for a shape optimization problem with constrained coupled problems
  Azeddine SADIK, Abdesslam BOULKHEMAIR, Abdelkrim CHAKIB
• Piecewise Linear Bounding of the Euclidean Norm
  Aloïs Duguet, Christian Artigues, Laurent houssin, Sandra Ulrich Ngueveu

TE-05: Optimal Control and Optimization in Economics, Finance and Management II
Stream: Optimal Control and Optimization in Economics, Finance and Management
Room: Pontryagin
Chair(s): Gerhard-Wilhelm Weber

• Risk measure and portfolio selection
  BEN HSSAIN LHOUCINE, Ghizlane Lakhnati
• Investigating the reliability of the RBF method for solving some optimal control problems in Dynamic Investment
  Ahmad Saeedi, Ahamd golbabai
• Market making policy for high-frequency trading
  Francis Huot-Chantal, Fabian Bastin, Gabriel Yergeau

TE-06: Optimization under Uncertainty and Applications II
Stream: Optimization under Uncertainty and Applications
Room: Moreau
Chair(s): Riccardo Cambini

• An integrated multi-echelon robust closed- loop supply chain under imperfect quality production
  Theodore Trafalis, Ismail Almaraj
• Robust Two-stage Polynomial Optimization applied to ACOPF
  Bissan Ghaddar, Olga Kuryatnikova, Daniel Molzahn
• Hierarchical Fleet Mix Problems with risk-aversion: a CVaR approach
  Riccardo Cambini, Rossana Riccardi

FA-01: Mathematical Analysis of Optimization Methods I
Stream: Mathematical Analysis of Optimization Methods
Room: Fermat
Chair(s): David Müller

• Decompositions and projections with respect to some classes of non-symmetric cones
  Jein-Shan Chen
• Strong duality, boundedness and a theorem of the alternatives in conic optimization
  Akshay Gupte
• Properties of Generalized Oriented Distance Function and its Applications to Set Optimization Problems
  Pradeep Kumar Sharma
• Discrete choice prox-functions on the simplex
  David Müller

FA-02: Beyond First-order Optimization Methods for Machine Learning - Part III
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s): Fred Roosta, Albert Berahas

• Large-scale derivative-free optimization using subspace methods
  Lindon Roberts, Coralia Cartis
• Efficient Newton Methods for Robust Stochastic Nonconvex Optimization
  Thomas O'Leary-Roseberry, Nick Alger, Omar Ghattas
• A stochastic second order-type extra-step scheme for nonsmooth nonconvex optimization
  Andre Milzarek, Minghan Yang, Zaiwen Wen, Tong Zhang
• Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
  Martin Takac, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtarik, Michael Mahoney

FA-03: Equilibria, variational models and applications
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Mauro Passacantando

• Multi-Leader-Follower Potential Games
  Steffensen Sonja
• A Decomposition Algorithm for Nash Equilibria in Intersection Management
  Andreas Britzelmeier, Axel Dreves
• Lagrange multipliers for a non-constant gradient constraint problem
  SOFIA GIUFFRE'
• Radial solutions to a nonconstant gradient constraint problem
  Attilio Marcianò, SOFIA GIUFFRE'

FA-04: Multiobjective Mixed Integer Optimization
Stream: Multiobjective Optimization
Room: Lagrange
Chair(s): Marianna De Santis, Gabriele Eichfelder

• An objective space based algorithm for biobjective mixed integer programming problems
  Firdevs Ulus, Ozlem Karsu, Deniz Emre
• Toward a Branch-and-Bound Algorithm for Biobjective Mixed Integer Quadratic Programs
  Margaret Wiecek
• Finding nondominated and efficient solutions of multiobjective integer quadratic programming problems
  Marianna De Santis, Gabriele Eichfelder
• Pareto Front Approximation through a Multi-objective Augmented Lagrangian Method
  Pierluigi Mansueto, Matteo Lapucci, Guido Cocchi

FA-05: Optimization and Artificial Intelligence II
Stream: Optimization and Artificial Intelligence
Room: Pontryagin
Chair(s): Sébastien Gerchinovitz

• K-Quant: a non uniform post-training quantization algorithm
  Enrico Civitelli, Leonardo Taccari, Fabio Schoen
• An Adaptive ML-Based Discretization Method for Computing Optimal Experimental Designs
  Philipp Seufert, Jan Schwientek, Tobias Seidel, Michael Bortz, Karl-Heinz Küfer
• Sparse RBF Regression for the Optimization of Noisy Expensive Functions
  Alessio Sortino, Matteo Lapucci, Fabio Schoen
• On the optimality of the Piyavskii-Shubert algorithm for global Lipschitz optimization: a bandit perspective
  Clément Bouttier, Sébastien Gerchinovitz, Tommaso Cesari

FA-06: Derivative-Free Optimization II
Stream: Derivative-Free Optimization
Room: Moreau
Chair(s): Clément Royer

• Distributed Derivative-Free Optimization
  Vyacheslav Kungurtsev
• Derivative-free optimization for large-scale structured problems
  Andrea Cristofari, Francesco Rinaldi
• A stochastic Levenberg-Marquardt method using random models
  Clément Royer, El houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev
• A Derivative-free Adaptation of the Penalty Decomposition Method for Sparse Optimization
  Matteo Lapucci, Marco Sciandrone

FB-01: Mathematical Analysis of Optimization Methods II
Stream: Mathematical Analysis of Optimization Methods
Room: Fermat
Chair(s): Jean-Baptiste Hiriart-Urruty

• The simplest KKT and FJ optimality conditions via subdifferential calculus of pointwise suprema
  Abderrahim Hantoute
• Optimality conditions for an exhausterable function on an exhausterable set
  Majid Abbasov
• Minimal sublinear functions and application to Cut Generating Functions
  alberto zaffaroni
• A fresh geometrical look at the general S-procedure
  Jean-Baptiste Hiriart-Urruty , Michel De Lara

FB-02: Advances in Douglas-Rachford method - Part II
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• Shadow Douglas-Rachford splitting
  Matthew Tam
• The Cyclic Douglas-Rachford Algorithm with r-sets-Douglas-Rachford Operators
  Aviv Gibali, Francisco Javier Aragón Artacho, Yair Censor
• Forward-partial inverse-half-forward splitting algorithm for solving monotone inclusions with applications
  Yuchao Tang
• Multivariate Monotone Inclusions in Saddle Form
  Patrick Combettes, Minh Bui

FB-03: Game theory, multilevel and dynamic optimization II
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Giancarlo Bigi

• Near-Optimal Robust Bilevel Optimization
  Miguel Anjos, Mathieu Besançon, Luce Brotcorne
• A Bilevel Optimization Model for Generative Adversarial Networks
  Zeynep Suvak, Miguel Anjos, Luce Brotcorne, Diego Cattaruzza
• Best response approaches for optimization problems with equilibrium constraints
  Maria Carmela Ceparano, Francesco Caruso, Jacqueline Morgan
• An explicit Tikhonov algorithm for nested variational inequalities
  Lorenzo Lampariello, Christoph Neumann, Jacopo Maria Ricci, Simone Sagratella, Oliver Stein

FB-04: Numerical Methods for Multiobjective Optimization
Stream: Multiobjective Optimization
Room: Lagrange
Chair(s): Leo Warnow, Gabriele Eichfelder

• An efficient descent method for locally Lipschitz multiobjective optimization problems
  Bennet Gebken
• Worst-case complexity bounds of directional direct-search methods for multiobjective derivative-free optimization
  Rohollah Garmanjani, Ana Luisa Custodio, Youssef Diouane, Elisa Riccietti
• A norm-minimization based convex vector optimization algorithm
  Muhammad Umer, Firdevs Ulus, Cagin Ararat
• Computing a box-coverage for multi-objective optimization problems
  Leo Warnow, Gabriele Eichfelder

FB-05: Optimal Control and Applications II
Stream: Optimal Control and Applications
Room: Pontryagin
Chair(s): Björn Martens

• A new approach for solving the multi-dimensional control optimization problems with first-order PDEs constraints
  Anurag Jayswal, Tadeusz Antczak, Preeti Kardam
• Multimaterial topology optimization of a heated channel
  Alexandre Vieira
• On Preconditioners for PDE-Constrained Optimization Problems with Higher-Order Discretization in the Time Variable
  Santolo Leveque, John Pearson
• Convergence analysis for approximations of optimal control problems subject to higher index differential-algebraic equations and mixed control-state constraints
  Björn Martens, Matthias Gerdts

FB-06: Advanced Optimization Methods II
Stream: Advanced Optimization Methods
Room: Moreau
Chair(s): Jacek Gondzio

• New Bregman proximal type algorithms for solving DC optimization problems
  Shota Takahashi, Mituhiro Fukuda, Mirai Tanaka
• Parameter tuning of linear programming solvers
  Nikolaos Ploskas
• A modified barrier method with algebraic multigrid solver
  Alexander Brune, Michal Kocvara
• A new stopping criterion for PCG applied in IPM
  Filippo Zanetti, Jacek Gondzio

FC-01: Plenary 2 - Oliver STEIN
Stream: Plenary
Room: Fermat
Chair(s): Giancarlo Bigi

• Granularity -- a bridge between continuous and discrete optimization
  Oliver Stein

FD-01: Derivative-Free Optimization III
Stream: Derivative-Free Optimization
Room: Fermat
Chair(s): Youssef Diouane

• Optimization of noisy blackboxes with adaptive precision
  Pierre-Yves Bouchet, Charles Audet, Sébastien Le Digabel, Stephane Alarie
• A derivative free methods for mixed-integer nonsmooth constrained optimization problems.
  Stefano Lucidi, Tommaso Giovannelli, Giampaolo Liuzzi, Francesco Rinaldi
• A Merit Function Approach for Evolution Strategies
  Youssef Diouane

FD-02: Advances in mathematical optimization for machine learning and data analysis - Part III
Stream: Advances in mathematical optimization for machine learning
Room: Turing
Chair(s):

• Mixed integer optimization in ARMA models
  Leonardo Di Gangi
• Model of Optimal Centroids Approach For Multivariate Data Classification
  Pham Van Nha, Le Cam Binh
• IGLOO: A stochastic global optimization algorithm to predict the structure of biomolecules adsorbed on metal surfaces
  Juan CORTES, Nathalie TARRAT, Christian Schoen

FD-03: Advances in Operator Splitting Techniques
Stream: Variational inequalities, Nash games, game theory, multilevel and dynamic optimization
Room: Nash
Chair(s): Mathias Staudigl

• On optimal gradient methods and oracle complexity for smooth (possibly strongly) convex minimization
  Adrien Taylor
• The sample complexity of level set estimation
  François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
• Multi-block Bregman proximal alternating linearized minimization for structured nonsmooth nonconvex problems
  Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos

FD-05: Optimal Control and Optimization in Economics, Finance and Management III
Stream: Optimal Control and Optimization in Economics, Finance and Management
Room: Pontryagin
Chair(s): Diogo Pinheiro

• Stochastic Maximum Principle with Regimes and Memory
  Emel Savku, Gerhard-Wilhelm Weber
• Portfolio Optimization with Drift Uncertainty
  Kerem Ugurlu
• Two-player zero-sum stochastic differential games with Markov-switching jump-diffusion dynamics
  Diogo Pinheiro, Miguel Ferreira, Susana Pinheiro

FD-06: Applications of Optimization IV
Stream: Applications of Optimization
Room: Moreau
Chair(s): Gabriella Colajanni

• Volumetric Uncertainty Bounds and Optimal Configurations for Converging Beam Triple LIDAR
  Anthony Brooms, Theodore Holtom
• Optimal Incentive in Electric Vehicle Adoption
  Giorgio Rizzini
• An Optimization Model to manage UAVs in multitiered 5G network slices
  Daniele Sciacca, Gabriella Colajanni

FE-01: Closing
Stream: Plenary
Room: Fermat
Chair(s):