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Stream 1a: Nonlinear Programming I
WB68 — Numerical Optimization for Machine Learning 2

Why LineSearch When You Can PlaneSearch?
Betty Shea, University of British Columbia 
Searching for optimal percoordinate stepsizes with multidimensional backtracking
Frederik Kunstner, UBC 
When Online Learning Meets Stochastic Calculus
Victor Sanches Portella, University of British Columbia 
Don't be so Monotone: Relaxing Stochastic Line Search in OverParameterized Models
Leonardo Galli, LMU Munich
WB120 — NonConvex, NonSmooth, Stochastic, and HighPerformance Computing Approaches

Recent advances in the COPT conic optimizer
Joachim Dahl, Cardinal Operations 
** CANCELLED ** Stochastic Structured Nonconvex Optimization in the Absence of Smoothness
Qi Deng, Shanghai Jiao Tong University 
New complexity results on nonconvex nonsmooth optimization
Tianyi Lin, Massachusetts Institute of Technology 
GPUCentric Algorithm for NonLinear Programming Problems
Dongdong Ge, Shanghai Jiao Tong University
WB41 — Advances in LargeScale Nonlinear Optimization III

Dynamic optimal combination of forecasting models
Fabian Bastin, Université De Montréal 
On the global convergence of a decomposition algorithm for nonconvex twostage problems
Andreas Waechter, Northwestern University 
Modified Line Search Sequential Quadratic Methods for EqualityConstrained Optimization with Unified Global and Local Convergence Guarantees
Jiahao Shi, University of Michigan 
Comparing stochastic oracles arizing in robust gradient estimation
Katya Scheinberg, Cornell University
Stream 1b: Global Optimization
WB350 — Optimization on manifolds

An optimized composite gradient method for minimizing the gradient mapping
Mihai I. Florea, Uclouvain 
** CANCELLED ** Regularized Stein Variational Gradient Flow
Ye He, Georgia Institute of Technology 
Tangent Subspace Descent via Discontinuous Subspace Selections on FixedRank Manifolds
David Gutman, Texas A&M University 
Randomized Riemannian Submanifold Subgradient Method for Optimization over Stiefel Manifold
Man Cho So, Chinese University of Hong Kong
Stream 1c: Nonsmooth Optimization
WB331 — Advances in First Order Methods

A Bestiary of Counterexamples in Smooth Convex Optimization
Jerome Bolte, Toulouse School Of Economics 
First Order Methods for Convex BiLevel Optimization Problems
Shoham Sabach, Technion Israel Institute of Israel 
Survey Descent and Its Initialization
X.Y. Han, Chicago Booth 
A Unified Framework for Convergence Analysis of Proximal Gradient Methods in Nonsmooth Nonconvex Minimax Problems
Marc Teboulle, Tel Aviv University
WB906 — Nonsmooth Optimization 1

Commutation principles for nonsmooth variational problems on Euclidean Jordan algebras
Juyoung Jeong, Changwon National University 
An efficient activeset method with applications to sparse approximations and risk minimization
Pougkakiotis Spyridon, University of Dundee 
DouglasRachford is the best projection method
Hongzhi Liao, The University of New South Wales 
A new qualification condition for Lipschitzian optimization problems
Isabella Käming, Technische Universität Dresden
Stream 1d: SemiDefinite Programming
WB18 — Semidefinite Programming Performance Estimation

Accelerating Gradient Descent
Benjamin Grimmer, Johns Hopkins University 
Performance estimation for SDP hierarchies for polynomial optimization on the hypercube
Etienne De Klerk, Tilburg University 
** CANCELLED ** The exact worstcase convergence rate of the alternating direction method of multipliers
Hadi Abbaszadehpeivasti, Tilburg University 
Acceleration by Stepsize Hedging
Jason Altschuler, University of Pennsylvania
WB222 — Algorithms and Applications of Semidefinite Programming

** CANCELLED ** Solving Exact and Noisy Rankone Tensor Completion with Semidefinite Programming
Zhuorui Li, Georgia Institute of Technology 
Random Projections for Semidefinite Programming and Polynomial Optimization
Monse Guedes Ayala, The University of Edinburgh 
HALLaR: A New Solver for Solving Huge SDPs
Arnesh Sujanani, Georgia Institute of Technology 
Sum of squares submodularity
Georgina Hall, INSEAD
Stream 1e: Variational Analysis, Variational Inequalities and Complementarity
WB227 — Algorithms for optimization, monotone inclusions and variational inequalities 4

Singleloop stochastic variance reduced method for variational inequalities
Afrooz Afrooz Jalilzadeh, University of Arizona 
** CANCELLED ** Tikhonov regularized exterior penalty dynamics for constrained variational inequalities
Siqi Qu, University of Mannheim 
Synchronous and asynchronous gradientresponse schemes for computing quasiNash equilibria under uncertainty
Zhuoyu Xiao, Pennsylvania State University 
Stochastic Halpern iteration in nonEuclidean spaces and applications to synchronous $Q$learning
Juan Pablo Contreras, Pontificia Universidad Católica De Chile
WB329 — Conic optimization

Extensions of constant rank qualification constraint condition to nonlinear conic programming
Hector Ramirez, Universidad De Chile 
Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity
Ales Wodecki, Czech Technical University, Prague 
Timevarying semidefinite programming: pathfollowing a BurerMonteiro factorization
Antonio Bellon, Universität Augsburg 
Timevarying semidefinite programming: geometry of the trajectory of solutions
Jakub Marecek, CTU Prague
Stream 1f: Random Methods for Continuous Optimization
WB49 — Splitting and Randomized Methods 1

Improved LBFGS Methods for LargeScale Unconstrained Optimization
Mehiddin Al Baali, Sultan Qaboos University 
A Decentralized PrimalDual Method with QuasiNewton Tracking
Liping Wang, Nanjing University of Aeronautics And Astronautics 
** MOVED TO FRIDAY AM REMOTE SESSION ** Group SLOPE Penalized LowRank Tensor Regression
Ziyan Luo, Beijing Jiaotong University 
Revisit Iterative Complexity of Some Projection Methods for Monotone Linear Variational Inequalities
Deren Han, Beihang University
Stream 1h: Optimal Control, PDE Constrained Optimization, and Multilevel Methods
WB321 — Challenging PDE Constrained Applications

Lowrank tensor approximation for risk averse optimization
Akwum Onwunta, Lehigh University 
Optimal Control of the Generalized Riemann Problem for Hyperbolic Systems of Conservation Laws
Jannik Breitkopf, Technical University Darmstadt 
A Variational Calculus for Optimal Control of Networks of Scalar Conservation or Balance Laws
Marcel Maximilian Steinhardt, Technical University Darmstadt 
Parameter Identification in Boundary Value Problems for Fiber Spinning
Lukas Kannengießer, Trier University
Stream 2a: Mixed Integer Linear Programming
WB236 — Bilevel Optimization with Discrete Decisions (II)

Network Relaxations for Discrete Bilevel Optimization under Linear Interactions
Leonardo Lozano, University of Cincinnati 
Using Disjunctive Cuts in a BranchandCut Method to Solve Convex Integer Nonlinear Bilevel Problems
Andreas Horländer, Trier University 
Interdiction of minimum spanning trees and other weighted matroids
Noah Weninger, University of Waterloo 
Combinatorial pricing problems: methods using embedded dynamic programming models
Margarida Carvalho, Université De Montréal
WB917 — Mixed Integer Linear Programming 3

A block decomposition algorithm for an extension of the vertex cover problem
Juan Francisco Correcher, Universitat De València 
Preliminary results on an extension of the vertex cover problem
Juanjo Peiró, Universitat De València 
Analyzing the Sensitivity of Integer Linear Programs via Optimization Oracles
Erik Jansen, Tu Darmstadt 
1,000,000 Point Steiner Tree Solved to Optimality
David Warme, Group W
Stream 2b: Mixed Integer Nonlinear Programming
WB7 — Algorithms for Global Mixed Integer Nonlinear Optimization

Solving MINLPs to Global optimality with the FICO Xpress Solver
Imre Polik, Fico Xpress 
RAPOSa: A free global solver for mixed integer polynomial optimization problems
Julio González Díaz, University of Santiago De Compostela 
Techniques and advances for solving MINLPs with Gurobi
Robert Luce, Gurobi 
Spatial branching for convex MIQO problems
Pietro Belotti, Politecnico Di Milano
Stream 2c: Combinatorial Optimization and Graph Theory
WB15 — Discrete Optimization

Good and Fast RowSparse ahSymmetric Reflexive Generalized Inverses
Gabriel Ponte, University of Michigan / Federal University of Rio De Janeiro 
A columngeneration based heuristic for integrating machine scheduling and personnel allocation
Daniela Lubke, University of Waterloo 
Semialgebraic characterization of triangulation
Yuan Zhou, University of Kentucky 
On disjunction convex hulls by lifting
Yushan Qu, University of Michigan
WB185 — Complexity and algorithmic aspects of structured families of graphs 3

HChromatic Symmetric Functions
Angele Foley, Wilfrid Laurier University 
Coloring graphs by forbidden induced subgraphs
Chính Hoàng, Wilfrid Laurier University 
Intersection of chordal graphs and some related partition problems
R Sritharan, University of Dayton 
Efficient certifying algorithms for kcolouring subfamilies of P5free graphs
Ben Cameron, University of Prince Edward Island
Stream 2d: Machine Learning and Discrete Optimization
WB230 — Combinatorial Optimization Augmented Machine Learning and Decision Aware Learning

Learning to solve largescale districting problems
Cheikh Ahmed, Ecole Polytechnique Montreal 
Surrogate policies with generalization guarantees for combinatorial optimization problems
Axel Parmentier, CERMICS, Ecole des Ponts 
Neur2BiLO: Neural Bilevel Optimization
Esther Julien, Tu Delft 
From Large to Small Datasets: Size Generalization for Clustering Algorithm Selection
Ellen Vitercik, Stanford
Stream 2e: Approximation and Online Algorithms
WB146 — Stochastic Combinatorial Optimization II

Fast Online Node Labeling for Very Large Graphs
Yifan Sun, Stony Brook University 
SemiBandit Learning for Monotone Stochastic Optimization
Rohan Ghuge, Georgia Tech 
Power of Adaptivity for Stochastic Submodular Cover
Viswanath Nagarajan, University of Michigan 
Recent Advances in Stochastic Function Evaluation: Score Classification and Voting
Kevin Schewior, University of Southern Denmark
Stream 2f: Computational Discrete and Integer Optimization
WB341 — Computational Mixed Integer Programming

Generalized Resolution Conﬂict Analysis in MIP Solvers
Gioni Mexi, Zuse Institute Berlin 
Recent additions to the collection of cutting planes in Gurobi
Pierre Bonami, Gurobi 
Leveraging Discounted Pseudocosts in MILP for Enhanced Branching Strategies
Krunal Kishor Patel, CERC, Polytechnique Montreal 
Variable Fixing for Integer Linear Programming via Objective Rotation
Lukas Schürmann, University of Bonn
Stream 3a: Continuous Stochastic Programming
WB232 — DecisionFocused Learning and Bilevel Models for Stochastic Optimization

Assessing solution quality in riskaverse stochastic programs
Ruben Van Beesten, Erasmus University Rotterdam 
An implementation of the Adaptive Partition Method to Stochastic Bilevel Problems
Francisco Jara Moroni, Universidad Diego Portales 
Decisionfocused predictions via pessimistic bilevel optimization: a computational study
Víctor Bucarey, Universidad De O'higgins 
ApplicationDriven Optimal Pointwise Forecasts for Stochastic Optimization
Tito Homem De Mello, Universidad Adolfo Ibañez
Stream 3b: Discrete Stochastic Programming
WB178 — Recent Advances to Solve Discrete Stochastic Problems

Accelerating Benders decomposition for solving a sequence of sample average approximation problems
Harshit Kothari, University of Wisconsin Madison 
Scaled cuts for multistage stochastic mixedinteger programs
Ward Romeijnders, University of Groningen 
SingleScenario Facet Preservation for Stochastic MixedInteger Programs
Aysenur Karagoz, Rice University 
Test sets to compute opportunity cost matrices
Janosch Ortmann, UQAM
Stream 3c: Robust and Distributionally Robust Optimization
WB125 — Robust Optimization and Machine Learning 4

Firstorder datadriven distributionally robust optimization
Shimrit Shtern, Technion Israel Institute of Technology 
** CANCELLED ** New algorithm for the difference of convex functions optimization problem
Aharon Ben Tal, Technion Israel Institute of Technology 
Towards Watermarking Tabular Datasets
Vamsi Potluru, J.P. Morgan AI Research 
Online MDP with Transition Prototypes: A Robust Adaptive Approach
Shuo Sun, University of California, Berkeley
WB939 — Robust and Distributionally Robust Optimization 2

Robust Optimization Under Controllable Uncertainty
Eva Ley, Tu Braunschweig 
Clusteringbased scenario reduction for distributionally robust optimization with approximation guarantees
Kevin Martin Aigner, Friedrich Alexander University Erlangen Nürnberg 
** CANCELLED ** Distributionally Robust Optimization Approaches for Resilience and Low Carbon Enhancement of Distribution Power Systems
Tianxiao Wang, Nanjing University 
Streamlining Emergency Response: A KAdaptable model and a ColumnandConstraintGeneration Algorithm
Fabricio Oliveira, Aalto University
Stream 3d: Multistage Stochastic Programming and Reinforcement learning
WB176 — Advances in Stochastic Programming

Optimal Lp Risk Minimization
Guanghui Lan, Georgia Institute of Technology 
EpiConsistency of Multistage Stochastic Optimization Problems
Dominic Keehan, University of Auckland 
Threestage Stochastic Programming is As Easy As Classical Stochastic Optimization
Yifan Hu, EPFL 
Risk averse and distributionally robust modeling of multistage stochastic programming
Alexander Shapiro, Georgia Institute of Technology
Stream 3e: Datadriven optimization
WB82 — Datadriven Optimization Under Uncertainty: Theory and Applications

Robust Design of Critical Supply Chains
Hao Hao, Carnegie Mellon University 
Integer Programming Approaches for Distributionally Robust Chance Constraints with Adjustable Risks
Yiling Zhang, University of Minnesota 
On the Tradeoff Between Distributional Belief and Ambiguity: Conservatism, Bias, and Asymptotic Properties
Karmel Shehadeh, Lehigh University 
ResidualsBased Contextual Distributionally Robust Optimization with DecisionDependent Uncertainty
Xian Yu, The Ohio State University
Stream 4b: Transportation and logistics
WB147 — Largescale optimization in action: methods and applications

A Better Match for Everyone, Reinforcement Learning for Ridesharing
Sebastien Martin, Northwestern University, Kellogg School Of Management 
Branchandprice for prescriptive contagion analytics
Alexandre Jacquillat, MIT Sloan School Of Management 
Heterogeneous Treatment Effects In Matching Marketplaces Under Interference: From Estimation to Decision
Arthur Delarue, Georgia Institute of Technology 
Modeling and Optimizing LargeScale Inventory Routing in East Africa: A DataDriven Optimization Approach
Simon Thomä, Rwth Aachen University
Stream 4a: Networks and Telecom
WB944 — Networks and Telecom 2

Online Convex Optimization for OnBoard Routing in HighThroughput Satellites
Olivier Bélanger, Polytechnique Montréal 
Application placement simulations over HEAVEN platform
Antoine Bernard, Polytechnique Montréal 
FibertotheHome Passive Optical Access Network Design: A New Formulation and Valid Inequalities
Sachin Jayaswal, Indian Institute of Management Ahmedabad
Stream 4g: High performance implementation and quantum computing
WB267 — Parallel solvers

QuBowl: An exact solver for MaxCut and QUBO problems
Daniel Rehfeldt, Zuse Institute Berlin 
Progress on highly parallel ensemble solvers
Yuji Shinano, Zuse Institute Berlin 
Solving LargeScale Quadratic Assignment Problems by a Parallelized LagrangianDNNBased BranchandBound
Koichi Fujii, Tokyo Institute of Technology 
Parallel GeneralPurpose Dynamic Programming Solvers for Combinatorial Optimization
Ryo Kuroiwa, University of Toronto
Stream 4d: Energy and Environment
WB958 — Energy and Environment 3

Robust Optimal Design of Renewable Energy Systems within an Energy Storage Process using Iron as Energy Carrier
Elisa Corbean, Technical University of Darmstadt 
A Robust DataDriven Approach to Characterize Operational Flexibility Zones of Active Distribution Networks
Alejandro Angulo, Universidad Técnica Federico Santa María 
A Heuristic Adversarial Approach for the TwoStage Robust AC OPF Problem
Jorge Weston, Friedrich Alexander Universtät Erlangen Nürnberg
Stream 5c: Special sessions
WB317 — In memory of JeanLouis Goffin 2: Analytic Centre Cutting Plane Methods: The contributions of JL Goffin's work

From the Relaxation Method to Chubanov’s Algorithm, from ACCPM to Tall LPs.
Tamás Terlaky, Lehigh University 
A personal view of primaldual interiorpoint algorithms for largescale optimization and some recent developments
Levent Tuncel, University of Waterloo 
Analytic Centres and Mixed Integer Programming
Samir Elhedhli, University of Waterloo 
Local center cutting plane methods framework
Mohamed El Fassi, Polytechnique Montréal