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Stream 1a: Nonlinear Programming I
MC55 — From First to Highorder Methodologies: Recent Advances and Trends I

Efficient Methods for Solving Bilevelstructure Optimization Problem
Erfan Yazdandoost Hamedani, The University of Arizona 
Nonasymptotic Global Convergence Rates of BFGS with Exact Line Search
Aryan Mokhtari, The University of Texas at Austin 
Secondorder Information Promotes MiniBatch Robustness in VarianceReduced Gradients
Michal Derezinski, University of Michigan
MC902 — Nonlinear Programming I 1

Connections between Gradient Descent and the Power Method
Rachael Tappenden, University of Canterbury 
A Discretization Approach for LowDimensional NonConvex Bilevel Optimization
Prashant Khanduri, Wayne State University 
** CANCELLED ** Dstationary points for optimization with least constraint violation and the convergence of an SQP method
Sheng Jie Chen, Academy Of Mathematics And Systems Science, Chinese Academy Of Sciences
Stream 1b: Global Optimization
MC14 — Global Optimization

Stability of Error Bounds for Convex Inequalities Systems
Zhou Wei, Hebei University 
** CANCELLED ** International trading network optimization under extreme shocks
Zhilong Dong, Xi'an Jiaotong University 
Efficient continuous piecewise linear regression for linearising univariate nonlinear functions
John Warwicker, KIT
Stream 1c: Nonsmooth Optimization
MC44 — Design of New Nonsmooth Optimization Algorithms

PrimalDual FirstOrder Methods for ConvexConcave SemiInfinite Programs
Qihang Lin, University of Iowa 
FirstOrder Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
Zhichao Jia, Georgia Institute of Technology 
Variance Reduced Halpern Iteration for Optimal FiniteSum MinMax Optimization
Ahmet Alacaoglu, University of Wisconsin Madison
Stream 1d: SemiDefinite Programming
MC908 — SemiDefinite Programming 1

On randomly signed sums of vectors
Nathan Keller, Bar Ilan University 
Reducing SumofSquares constraints over a domain
Benoît Legat, KU Leuven 
Approximate KarushKuhnTucker 2 conditions for nonlinear secondorder cone optimization problems
Ellen Hidemi Fukuda, Kyoto University
Stream 2b: Mixed Integer Nonlinear Programming
MC286 — MINLP Applications

The lattice of dijoins
Olha Silina, Carnegie Mellon University 
Mixed integer linear programming formulations and column generation algorithms for the Minimum Normalized Cuts problem
Justo Puerto, University of Seville 
Scalingup exact methods for solving the discrete bilevel network design problem under user equilibrium
David Rey, Skema Business School
Stream 2c: Combinatorial Optimization and Graph Theory
MC250 — Graph Theory

Obtaining bounds on topological indices of chemical graphs
Hadrien Mélot, Université De Mons 
Extremal Chemical Graphs for the ArithmeticGeometric Index
Alain Hertz, Polytechnique Montreal 
** CANCELLED ** Antimagic labelling of (k,2)bipartite biregular graphs
Grégoire Beaudoire, Cnam Paris
Stream 2d: Machine Learning and Discrete Optimization
MC298 — Classification and regression via mathematical optimization

Soft regression trees: a model variant and a decomposition training algorithm
Antonio Consolo, Politecnico Di Milano 
MixedInteger Linear Optimization for CardinalityConstrained Random Forests
Maria Eduarda Pinheiro, Trier University 
On Enhancing the Explainability and Fairness of Tree Ensembles
Dolores Romero Morales, Copenhagen Business School
Stream 2f: Computational Discrete and Integer Optimization
MC339 — Extensions of Integer Programming

On the accurate detection of the Pareto frontier for biobjective mixed integer linear problems
Marianna De Santis, Università Di Firenze 
PySCIPOptML: Embedding Trained Machine Learning Models into MixedInteger Programs
Mark Turner, Zuse Institute Berlin 
QUBO.jl: A tale of implementation and benchmarking of a Quantum Optimization Ecosystem in Julia
Pedro Maciel Xavier, Federal University of Rio De Janeiro
Stream 3a: Continuous Stochastic Programming
MC934 — Continuous Stochastic Programming 1

A Samplingbased Progressive Hedging Algorithm for Stochastic Programming
Di Zhang, University of Southern California 
Generalized adaptive partitionbased method for twostage stochastic linear programs: geometric oracle and analysis
Vincent Leclère, ENPC 
Stochastic Bregman Proximal Gradient Method Revisited: Kernel Conditioning and Painless Variance Reduction
Junyu Zhang, National University of Singapore
Stream 3b: Discrete Stochastic Programming
MC57 — Modeling and Optimization under Uncertainty

Distributionally robust twostage convex quadratic programming
David Morton, Northwestern University 
Multiscale and Multistage Stochastic Discrete Optimization and its Applications in Energy and Sustainability
Suvrajeet Sen, University of Southern California 
Integer Programming for Learning Directed Acyclic Graphs from Nonidentifiable Gaussian Models
Simge Kucukyavuz, Northwestern University
Stream 3d: Multistage Stochastic Programming and Reinforcement learning
MC783 — Multistage Stochastic Programming and Reinforcement learning 1

Recent Developments in the MPISPPY Solver Library for Scalable Stochastic Programming
Jean Paul Watson, Lawrence Livermore National Laboratory 
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification
Zitong Wang, Columbia University 
Stochastic Capacity Expansion Planning considering Power Flow and Unit Commitment
Elizabeth Glista, Lawrence Livermore National Laboratory (Llnl)
Stream 3e: Datadriven optimization
MC177 — Learning for Inventory

Hindsight Learning for MDPs with Exogenous Inputs
Sean Sinclair, Massachusetts Institute of Technology 
VC Theory for Inventory Policies
Yaqi Xie, University of Chicago Booth School Of Business 
Costly Data Collection in the Newsvendor Problem
Zijin Zhang, University of Michigan Ann Arbor 
Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
Jiashuo Jiang, Hong Kong University of Science And Technology
Stream 4b: Transportation and logistics
MC202 — Dynamic Facility and Network Design

Solving a stochastic multihorizon facility location problem with capacity expansion
Peter Schütz, Norwegian University of Science And Technology 
A slope scaling heuristic for the multiperiod strategic planning of carbon capture and sequestration value chains
Gabriel Homsi, Canmetenergy 
Cumulative Customer Demand in Facility Location and Network Design
Sanjay Dominik Jena, Université du Québec A Montréal
Stream 4d: Energy and Environment
MC337 — Optimal transition of energy systems/power grids 2

Modeling of a Hydrogen Economy Using Integrated Assessment Approaches
Olivier Bahn, GERAD, HEC Montréal 
Robust Pathways to H2 Adoption: Leveraging ETEMYUL and ETEMCAN Frameworks
Sara Ghaboulian Zare, University of Mnotreal
Stream 4e: Healthcare and life sciences
MC283 — Oncology and Clinical Decision Support

DataDriven Alternatives for Feedback Mechanisms in Acute Myeloid Leukaemia
Carl Julius Martensen, Otto Von Guericke University Magdeburg 
Inference for parameters of selection and copy number aberrations from DNAsequencing data
Khanh Dinh, Columbia University 
Optimal Leukemia Treatment
Adrian Manuel Reimann, Otto Von Guericke University Magdeburg
Stream 4g: High performance implementation and quantum computing
MC163 — Quantum Computing and Optimization II

The quantum central path algorithm
Brandon Augustino, Massachusetts Institute of Technology 
Quantum speedups for stochastic optimization
Chenyi Zhang, Stanford University 
Online learning of a panoply of quantum objects
Alice Zheng, Virginia Tech
Stream 5c: Special sessions
MC817 — ** Cancelled talks **

** CANCELLED ** Intersecting and Dense Restrictions of Clutters in Polynomial Time
Martin Drees, Research Institute of Discrete Mathematics, Bonn 
Buffe Mo2
To Be Announced , GERAD 
Buffer Mo3
To Be Announced , GERAD