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Stream 1a: Nonlinear Programming I
MC55 — From First- to High-order Methodologies: Recent Advances and Trends I
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Efficient Methods for Solving Bilevel-structure Optimization Problem
Erfan Yazdandoost Hamedani, The University of Arizona -
Non-asymptotic Global Convergence Rates of BFGS with Exact Line Search
Aryan Mokhtari, The University of Texas at Austin -
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients
Michal Derezinski, University of Michigan
MC827 — Nonlinear Programming I 1
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Connections between Gradient Descent and the Power Method
Rachael Tappenden, University of Canterbury -
A Discretization Approach for Low-Dimensional Non-Convex Bilevel Optimization
Prashant Khanduri, Wayne State University -
D-stationary points for optimization with least constraint violation and the convergence of an SQP method
Xinwei Liu, Hebei University of Technology
Stream 1b: Global Optimization
MC14 — Global Optimization
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Stability of Error Bounds for Convex Inequalities Systems
Zhou Wei, Hebei University -
International trading network optimization under extreme shocks
Zhilong Dong, Xi'an Jiaotong University -
Efficient continuous piecewise linear regression for linearising univariate non-linear functions
John Warwicker, KIT
Stream 1c: Nonsmooth Optimization
MC44 — Design of New Nonsmooth Optimization Algorithms
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Primal-Dual First-Order Methods for Convex-Concave Semi-Infinite Programs
Qihang Lin, University of Iowa -
First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
Zhichao Jia, Georgia Institute of Technology -
Variance Reduced Halpern Iteration for Optimal Finite-Sum Min-Max Optimization
Ahmet Alacaoglu, University of Wisconsin Madison
Stream 1d: Semi-Definite Programming
MC834 — Semi-Definite Programming 1
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Reducing Sum-of-Squares constraints over a domain
Benoît Legat, KU Leuven -
Approximate Karush-Kuhn-Tucker 2 conditions for nonlinear second-order cone optimization problems
Ellen Hidemi Fukuda, Kyoto University -
On randomly signed sums of vectors
Nathan Keller, Bar Ilan University
Stream 2b: Mixed Integer Nonlinear Programming
MC286 — MINLP Applications
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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 -
Scaling-up 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
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Obtaining bounds on topological indices of chemical graphs
Hadrien Mélot, Université De Mons -
Extremal Chemical Graphs for the Arithmetic-Geometric Index
Alain Hertz, Polytechnique Montreal -
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
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Soft regression trees: a model variant and a decomposition training algorithm
Antonio Consolo, Politecnico Di Milano -
Mixed-Integer Linear Optimization for Cardinality-Constrained 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
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On the accurate detection of the Pareto frontier for bi-objective mixed integer linear problems
Marianna De Santis, Università Di Firenze -
PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer 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
MC860 — Continuous Stochastic Programming 1
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A Sampling-based Progressive Hedging Algorithm for Stochastic Programming
Di Zhang, University of Southern California -
Generalized adaptive partition-based method for two-stage 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
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Distributionally robust two-stage convex quadratic programming
David Morton, Northwestern University -
Multi-scale and Multi-stage Stochastic Discrete Optimization and its Applications in Energy and Sustainability
Suvrajeet Sen, University of Southern California -
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Simge Kucukyavuz, Northwestern University
Stream 3d: Multi-stage Stochastic Programming and Reinforcement learning
MC783 —
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Recent Developments in the MPI-SPPY 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: Data-driven optimization
MC177 — Learning for Inventory
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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
Stream 4b: Transportation and logistics
MC202 — Dynamic Facility and Network Design
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Solving a stochastic multi-horizon 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
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Modeling of a Hydrogen Economy Using Integrated Assessment Approaches
Olivier Bahn, GERAD, HEC Montréal -
Western Canadian Capacity Expansion
Pierre Mcwhannel, Simon Fraser University -
Robust Pathways to H2 Adoption: Leveraging ETEM-YUL and ETEM-CAN Frameworks
Sara Ghaboulian Zare, University of Mnotreal
Stream 4e: Healthcare and life sciences
MC283 — Oncology and Clinical Decision Support
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Data-Driven 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 DNA-sequencing 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
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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 — Monday
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Buffer Mo1
To Be Announced , GERAD -
Buffe Mo2
To Be Announced , GERAD -
Buffer Mo3
To Be Announced , GERAD