ISMP 2024

Stream 1a: Nonlinear Programming I

TA40 — Advances in Large-Scale Nonlinear Optimization II

First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity
Stephen Wright, University of Wisconsin Madison
** CANCELLED ** Efficient Gradient Tracking Algorithmic Frameworks for Decentralized Optimization
Raghu Bollapragada, University of Texas at Austin
Randomized and Stochastic Methods for Fixed-Point and Root-Finding Problems
Quoc Tran Dinh, Department of Statistics And Operations Research, The University of North Carolina At Chapel Hill
Stochastic Proximal-Gradient Methods with Nonlinear Constraints
Daniel Robinson, Lehigh University

TA59 — Advances in numerical methods for large scale nonlinear optimization and applications II

Riemannian trust-region methods for strict saddle functions with complexity guarantees
Florentin Goyens, University Paris Dauphine Psl
A stochastic Hessian-free trust-region method for statistical learning
Jeremy Rieussec, University of Montreal
Implementation and experiments of an augmented Lagrangian method with first-order information
Ernesto Birgin, University of São Paulo
Spectral Stochastic Gradient Method with Additional Sampling
Ilaria Trombini, Università Degli Studi Di Ferrara

TA31 — Advances in Nonconvex Optimization

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression
Xuxing Chen, University of California, Davis
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions
Ryan Cory Wright, Imperial College London
On the Partial Convexification of the Low-Rank Constrained Optimization
Weijun Xie, Georgia Institute of Technology
A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
Salar Fattahi, University of Michigan

Stream 1b: Global Optimization

Stream 1c: Nonsmooth Optimization

TA65 — Nonlinear optimization problems

Convergence and error estimation of smoothing consensus-based optimization algorithm for nonsmooth nonconvex optimization
Wei Bian, Harbin Institute of Technology
On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models
Wenjing Li, Harbin Institute of Technology
A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-quadratic Regularized Optimal Transport Problems
Lei Yang, Sun Yat Sen University
** CANCELLED ** An iteratively reweigthed second-order method for nonconvex regularization
Hao Wang, Shanghaitech University

TA112 — Advances in Variational Analysis and Nonsmooth Optimization I

Variational theory and algorithms for a class of asymptotically approachable nonconvex problems
Ying Cui, University of California Berkeley
Approximations of Rockafellians, Lagrangians, and Dual Functions
Johannes Royset, University of Southern California
Heaviside Composite Optimization: Continuous meets Discrete
Jong Shi Pang, University of Southern California
Computing Wasserstein Barycenter via operator splitting: the method of averaged marginals
Daniel Mimouni, Mines Paris

Stream 1d: Semi-Definite Programming

Stream 1e: Variational Analysis, Variational Inequalities and Complementarity

Stream 1f: Random Methods for Continuous Optimization

Stream 1g: Derivative-free and Simulation-based Optimization

Stream 1h: Optimal Control, PDE Constrained Optimization, and Multi-level Methods

Stream 2a: Mixed Integer Linear Programming

Stream 2b: Mixed Integer Nonlinear Programming

Stream 2c: Combinatorial Optimization and Graph Theory

TA263 — Graph Coloring

Column Generation for Generalized Min-Cost Flows
Jonas Alker, Tu Darmstadt
Pairwise disjoint perfect matchings in r-graphs
Isaak H. Wolf, Paderborn University
Injective Edge Colouring Some Classes of Sparse Graphs
Alexander Clow, Simon Fraser University
Sets of $r$-graphs that color all $r$-graphs
Eckhard Steffen, Paderborn University

TA922 — Combinatorial Optimization and Graph Theory 2

Preference-based Constrained Optimization
Malek Mouhoub, University of Regina
Exact approaches for solving interdependent multi-stage interdiction games: Applications in Communication Problems
Jose Walteros, University At Buffalo
Sparse factorization of the square all-ones matrix of arbitrary order
Edward Duc Hien Nguyen, Rice University
The Edge-based Contiguous p-median Problem with Connections to Territorial Districting
Adolfo Escobedo, North Carolina State University

Stream 2d: Machine Learning and Discrete Optimization

Stream 2e: Approximation and Online Algorithms

TA229 — Algorithms for Pricing and Assortment Optimization

Submodular Order Functions and Their Applications
Rajan Udwani, UC Berkeley
Optimizing and Learning Assortment Decisions in the Presence of Platform Disengagement
Mika Sumida, University of Southern California
Learning to Price Under Competition for Multinomial Logit Demand
Sanjay Mehrotra, Northwestern University
Maximum Load Assortment Optimization
Omar El Housni, Cornell University

TA930 — Approximation and Online Algorithms 1

Online Matching on 3-Uniform Hypergraphs
Danish Kashaev, Centrum Wiskunde & Informatica
Nearly optimal node selection in the explorable heap model
Sander Borst, CWI
TSP-T3CO: A Classification Scheme for Variants of the Traveling Salesman Problem
Andreas Karrenbauer, Max Planck Institute For Informatics
Reliable Adjustable Planning in Case of Dynamically Arriving Information: Example of E-Commerce Warehouses
Alena Otto, University of Passau

Stream 2f: Computational Discrete and Integer Optimization

Stream 3a: Continuous Stochastic Programming

Stream 3c: Robust and Distributionally Robust Optimization

TA99 — Robust Optimization and Machine Learning 1

Platform Design for the First Mile of Commodity Supply Chains
Sergio Camelo, Stanford University
An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes
Man Chung Yue, The University of Hong Kong
Wasserstein Adversarial Logistic Regression with Synthetic Data
Aras Selvi, Imperial College London
End-to-end Conditional Robust Optimization
Abhilash Chenreddy, HEC Montréal

TA170 — Recent Advances in the Theory of Stochastic and Robust Optimization

Robust Data-driven Prescriptiveness Optimization
Angelos Georghiou, University of Cyprus
On the Adversarial Robustness of Benjamini-Hochberg
Louis Chen, Naval Postgraduate School
Fourth-order Marginal Moment Model: Reformulations and Applications
Li Xiaobo, National University of Singapore

TA938 — Robust and Distributionally Robust Optimization 1

Cut-Generation Algorithms for Uncertain Unit Commitment under Mixed-Information Models
Vitor Luiz Pinto De Pina Ferreira, école Des Ponts Paristech
Distributionally robust optimization using optimal transport for Gaussian mixture models
Zukui Li, University of Alberta
Robust approaches for the Kidney Exchange Problem
Matteo Petris, Essec Business School

Stream 3d: Multi-stage Stochastic Programming and Reinforcement learning

Stream 3e: Data-driven optimization

TA158 — Statistical and Computational Aspects of Robust Estimation

Outlier-Robust Wasserstein DRO
Soroosh Shafiee, Cornell
Coherent Wasserstein Distributionally Robust Optimization
Jonathan Li, University of Ottawa
Universal Gradient Descent Ascent Method for Smooth Minimax Optimization
Taoli Zheng, The Chinese University of Hong Kong
The out-of-sample prediction error of the square-root lasso and related estimators
Cynthia Rush, Columbia University

TA134 — Robust or Go Bust: Tales in Distributionally Robust and Data-Driven Optimization

** Permuted with Kuhn's talk at 9:30** Distributionally Robust Linear Quadratic Control
Dan Iancu, Stanford Graduate School Of Business
Randomized Assortment Optimization
Wolfram Wiesemann, Imperial College London
** Permuted with Iancu's talk at 8:30** Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
Daniel Kuhn, EPFL
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
Cagil Kocyigit, University of Luxembourg

Stream 4b: Transportation and logistics

TA274 — Large Scale Optimisation in Transportation

A Branch-and-Price Algorithm for Multiple Depot Bus scheduling Problem in Public Transit Systems
Nadia Rasouli, Phd Candidate
Considering regularity in the aircrew pairing problem
Frédéric Quesnel, Université du Québec à Montréal
Accelerated insight into the crew rostering problem with machine learning methods
Philippe Racette, école Polytechnique De Montréal
Solving the Crew Split Problem: Innovative Team Formation Strategies for the Crew Pairing Problem
Mohand Ryad Chelbani, Polytechnique Montréal

TA192 — Network Design for Transportation Planning III

Design for integrated Freight and Passenger Transportation: Some recent advances
Tom Van Woensel, Eindhoven University of Technology
A Construction Matheuristic for Two-Tier Synchronized City Logistics
Julia Lange, University of Kaiserslautern Landau
A multi – commodity location – network design problem with vehicle selection in City Logistics
Francesco Contu, University of Cagliari
The Two-Echelon Multicommodity Location-Routing Problem with Stochastic and Correlated Demands
Walter Rei, CIRRELT And Université du Québec à Montréal

Stream 4d: Energy and Environment

TA117 — Advances in generation, transmission and distribution modelling

RALPH - Solving the unit commitment problem under hydraulic and transient stability constraints
Alexandre Besner, Hydro Québec
Tight Big-Ms for Optimal Transmission Switching
Salvador Pineda, Universidad De Málaga
Application of operational research in Hydro Quebec distribution system planning
Mihajlo Curcic, Hydro Quebec
Optimizing physical and financial assets using SDDP
Yves Alain Mbeutcha, Hydro Québec, Canada

TA956 — Energy and Environment 1

Differentially Private Distributed Optimization with Constraints
Minseok Ryu, Arizona State University
Uniform Convergence of Kernel Estimators
Paul Dommel, Tu Chemnitz
An Interval-based Stochastic Unit Commitment Model Under Demand Uncertainty
Hojin Jung, Seoul National University
Integrated energy system planning under short-term and long-term uncertainty: Modelling and algorithms
Hongyu Zhang, Norwegian University of Science And Technology