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Stream 1a: Nonlinear Programming I
TB67 — Numerical Optimization for Machine Learning 1

Relative Monte Carlo for Reinforcement Learning
Audrey Bazerghi, Northwestern University 
Structured Inversefree Matrix Adaptive Methods for Large Neural Networks
Wu Lin, Vector Institute 
Targetbased Surrogates for Stochastic Optimization
Jonathan Lavington, Univeristy Of British Columbia 
Stochastic Extragradient Methods: New Convergence Guarantees for Monotone and Nonmonotone Variational Inequalities
Nicolas Loizou, Johns Hopkins University
TB136 — Firstorder Methods and Largescale Optimization I

Activity Identification in Nonsmooth Optimization: A SetValued Operator Perspective
Ziqi Qin, Shanghai Jiao Tong University 
Goldstein modulus in Lipschitz Minimization
Siyu Kong, Cornell University 
Convergence of heavyball SGD in the nonconvex case: a novel time windowbased analysis
Bohao Ma, The Chinese University of Hong Kong, Shenzhen 
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
Feng Yi Liao, University of California, San Diego, Electrical And Computer Engineering Department
TB69 — From First to Highorder Methodologies: Recent Advances and Trends II

Tensor Methods for Nonconvex Optimization using Cubicquartic regularization models
Kate Wenqi Zhu, University of Oxford 
A consistently adaptive trustregion method
Fadi Hamad, University of Pittsburgh 
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
Shuyao Li, University of Wisconsin Madison 
A MINRESbased Algorithm Framework for Unconstrained Nonconvex Optimization with Nonpositive Curvature Detection
Hanfeng Zeng, The Chinese University of Hong Kong, Shenzhen
TB60 — Advances in numerical methods for large scale nonlinear optimization and applications III

Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm
Wanping Dong, University of Michigan 
Solving largescale nonlinear leastsquares with random GaussNewton models
Stephania Bellavia, University of Florence 
A stochastic gradient method with variance control and variable learning rate for Deep Learning
Giorgia Franchini, Unimore 
Probabilistic Trust Region method for solving Multiobjective Problems
Luka Rutesic, University of Novi Sad, Faculty of Sciences
Stream 1b: Global Optimization
TB5 — Polynomial and Conic Optimization

Strengthening convex relaxations of the radial optimal power flow problem via copositive optimization
Markus Gabl, Karlsruhe Institute of Technology 
Uncertain standard quadratic optimization under distributional assumptions: a chanceconstrained epigraphic approach
Immanuel Bomze, University of Vienna 
SDPs for Moment Optimisation with Piecewise SOSConvex Functions
Queenie Huang, University of New South Wales
Stream 1c: Nonsmooth Optimization
TB63 — Nonsmooth Stochastic Optimization and Applications

Highdimensional Limit of Stochastic Optimization Methods with Structured Data
Inbar Seroussi, TelAviv University 
Distributionally Robust MeanLower Partial Moment (LPM) Model and its Application in Portfolio Selection
Jie Jiang, Chongqing University 
Datadriven Distributionally Robust Multiproduct Pricing Problems under Pure Characteristics Demand
Hailin Sun, Nanjing Normal University
TB207 — Large scale continuous optimization and firstorder methods and related topics

Levelset geometry and the complexity of restarted PDHG for conic LP
Zikai Xiong, MIT Operations Research Center 
A Practical and Optimal FirstOrder Method for LargeScale Convex Quadratic Programming
Haihao Lu, The University of Chicago 
A feasible method for solving general convex lowrank SDP problems
Tianyun Tang, National University of Singapore 
Practical LargeScale Linear Programming using PrimalDual Hybrid Gradient
David Applegate, Google Research
Stream 1d: SemiDefinite Programming
TB66 — SDP and Combinatorial Optimization

Eigenvalue cuts for the Traveling Salesman Problem
Michael Smith, Lewis University/Northern Illinois University 
Computational study of rounded psd inequalities for the MaxCut and kcluster problem
Timotej Hrga, University of Klagenfurt 
Edge Expansion: Exploring SDPBased Computational Strategies
Angelika Wiegele, University of Klagenfurt 
Facial Reduction of Semidefinite Relaxations of Binary Quadratic Problems
Ian Sugrue, Northern Illinois University
TB87 — Semidefinite Programming and Convex Algebraic Geometry

Closing nonzero duality gaps by perturbation in SDP and its extension
Takashi Tsuchiya, National Graduate Institute For Policy Studies 
Anydimensional learning
Eitan Levin, Caltech 
Polynomial Lower Approximation for TwoStage Stochastic Optimization
Suhan Zhong, Texas A&M University 
Cubic interpolation to certify nonnegativity
Mitchell Harris, Massachusetts Institute of Technology
Stream 1e: Variational Analysis, Variational Inequalities and Complementarity
TB311 — New insights into first and secondorder variational analysis

Quasidensity and certain classes of multifunctions
Stephen Simons, Uc Santa Barbara 
KurdykaLojasiewicz exponent for a class of Hadamarddifferenceparameterized models
Ting Kei Pong, Hong Kong Polytechnic University 
On secondorder variational analysis of proxregular functions
Helmut Gfrerer, Johannes Kepler University Linz 
Stability of nonsmooth optimization problems
Tim Hoheisel, Mcgill University
TB314 — Algorithms for optimization, monotone inclusions and variational inequalities 2

A projected semismooth Newton method for a class of nonconvex composite programs with strong proxregularity
Jiayuan Wu, Peking University 
Accelerated gradient descent: A guaranteed bound for a heuristic restart strategy
Viktor Pavlovic, University of Waterloo 
ForwardBackward algorithms for weakly convex problems
Ewa Bednarczuk, Systems Research Institute, Polish Academy Of Sciences 
** CANCELLED ** Zeroth order and first order primal dual alternating proximal gradient algorithms for nonsmooth nonconvex minimax problems with coupled linear constraints
Zi Xu, Shanghai University
Stream 1f: Random Methods for Continuous Optimization
TB131 — Beyond Standard Assumptions in Optimization: Structured NonConvexity, NonMonotonicity, and NonSmoothness

GeneralizedSmooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
Yi Zhou, University of Utah 
Stochastic Optimization under Hidden Convexity
Ilyas Fatkhullin, ETH Zürich 
Convergence of DouglasRachford Splitting and PrimalDual Hybrid Gradient for NonMonotone, NonSmooth Problems
Brecht Evens, KU Leuven 
On the Lower Bound of Minimizing PolyakLojasiewicz functions
Cong Fang, Peking University
Stream 1g: Derivativefree and Simulationbased Optimization
TB322 — Recent Progresses in DFO 1

The cosine measure relative to a subspace
Gabriel Jarry Bolduc, Saint Francis Xavier University 
A (forgotten) subspace framework for largescale derivativefree optimization
Zaikun Zhang, The Hong Kong Polytechnic University 
Parallel versions of the mesh adaptive direct search algorithm
Samuel Mendoza, Polytechnique Montréal 
Worst case complexity bounds for linesearchtype derivativefree algorithms
Giampaolo Liuzzi, Diag Sapienza University of Rome
Stream 1h: Optimal Control, PDE Constrained Optimization, and Multilevel Methods
TB91 — Nonsmooth PDE Constrained Optimization 3

An Inexact TrustRegion Algorithm for Nonsmooth RiskAverse Optimization
Drew Kouri, Sandia National Laboratories 
Control in the Coefficients of an Obstacle Problem
Nicolai Simon, Uni Hamburg 
A Discontinuous Galerkin Method for Optimal Control of the Obstacle Problem
Rohit Khandelwal, George Mason University 
Limiting Descent Directions in pHarmonic Shape Optimization
Henrik Wyschka, Universität Hamburg
Stream 2a: Mixed Integer Linear Programming
TB915 — Mixed Integer Linear Programming 1

A column generation approach for a challenging realworld routing problem
Nils Hassan Quttineh, Linköping University 
Complexity of Determining Unboundedness in Linear Bilevel Optimization
Bárbara Rodrigues, University of Edinburgh 
On the geometric and computational complexity of polynomial bilevel optimization
Quoc Tung Le, Toulouse School Of Economics
Stream 2b: Mixed Integer Nonlinear Programming
TB195 — Optimization over integers, cones and polynomials

Spurious local minima in nonconvex sumofsquare optimization
Shixuan Zhang, Texas A&M University 
Solving Nonconvex Optimization Problems using Outer Approximations of the SetCopositive Cone
Kurt Anstreicher, University of Iowa 
Integer Points in Arbitrary Convex Cones: The Case of the PSD and SOC Cones
Luze Xu, University of California, Davis 
On PolynomialTime Solvability of Combinatorial Markov Random Fields
Shaoning Han, National University of Singapore
Stream 2c: Combinatorial Optimization and Graph Theory
TB86 — Spectral Graph Theory and Optimization

Graphs with wellstructured eigenbases
Hermie Monterde, University of Manitoba 
On the max kcut and the eigenvalue of a graph
Leonardo Lima, Universidade Federal Do Paraná 
Main Signless Laplacian Eigenvalues of QuasiThreshold Graphs
Cybele Vinagre, Universidade Federal Fluminense 
Zero forcing and eigenvalue multiplicities
Shahla Nasserasr, Rochester Institute of Technology
Stream 2d: Machine Learning and Discrete Optimization
TB199 — Learning to Select

Minimizing difference of submodular functions via DC programming
George Orfanides, Mcgill University 
Slowly varying regression under sparsity
Vassilis Digalakis, HEC Paris 
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
Michael Li, Harvard Business School 
Optimal Experimentation for Learning Personalized Policies Across Locations
Stefanos Poulidis, INSEAD
Stream 2f: Computational Discrete and Integer Optimization
TB340 — Solver Software II

A modeling languagebased approach to automatically recommend firstorder optimization methods.
Sofiane Tanji, Uclouvain 
Symmetry detection in MixedInteger Conic Programming
Sven Wiese, Mosek APS 
Hybridizing combinatorial heuristics and continuous optimization methods for MixedInteger Programming
Julien Darlay, Hexaly 
Recent Advances in the SAS Linear and Mixedinteger Optimization Solvers
Philipp Christophel, Sas Institute Gmbh
Stream 3a: Continuous Stochastic Programming
TB111 — PDEconstrained optimization under uncertainty

Optimality Conditions with Probabilistic State Constraints
Caroline Geiersbach, Weierstrass Institute For Applied Analysis And Stochastics 
Convergence rates for ensemblebased solutions to optimal control of uncertain dynamical systems
Johannes Milz, Georgia Institute of Technology 
Adaptive Surrogate Modeling for Trajectory Optimization with Model Inexactness
Matthias Heinkenschloss Matthias, Rice University 
Empirical estimators for riskneutral composite optimal control with applications to bangbang control
Daniel Walter, Humboldt Universität Zu Berlin
Stream 3b: Discrete Stochastic Programming
TB187 — Modeling and Algorithms for Stochastic Discrete Optimization

Optimization via Simulation with Discontinuous Recourse Function
Zhuo Zhang, The Chinese University of Hong Kong, Shenzhen 
A Distributed Optimization Method for LargeScale Production Planning Problem
Xingyu Lin, The Chinese University of Hong Kong, Shenzhen 
RiskAware SecurityConstrained Unit Commitment
Cheng Guo, Clemson University 
Beyond Absolute Continuity: a New Class of Dynamic Risk Measures
Luhao Zhang, Columbia University
Stream 3c: Robust and Distributionally Robust Optimization
TB100 — Robust Optimization and Machine Learning 2

Bayesian RiskAverse Reinforcement Learning
Yuhao Wang, Georgia Institute of Technology 
Robust Regret Markov Decision Processes
Chin Pang Ho, City University of Hong Kong 
Distributionally Robust Path Integral Control
Duo Zhou, University of Illinois Urbana Champaign 
Towards Optimal Offline Reinforcement Learning
Mengmeng Li, EPFL
TB168 — Robust Optimization in practice

Superior and Light Pareto Robust Optimization for IMRT Treatment Planning
Houra Mahmoudzadeh, University of Waterloo 
Dealing With Uncertainty Over Time When Optimizing Industrial Decarbonization Pathways
Justin Starreveld, University of Amsterdam 
A Holistic Framework for Decarbonization at OCP
Periklis Petridis, MIT 
Robust Facility Location in Disaster Preparation for Earthquakes with Aftershocks
Minakshi Punam Mandal, Essec Business School
Stream 3d: Multistage Stochastic Programming and Reinforcement learning
TB22 — Stochastic Dual Dynamic Programming : theory and applications

Duality, upper bounds, and policy quality in Multistage Stochastic Programming
Bernardo Freitas Paulo Da Costa, Fundação Getúlio Vargas 
DataDriven Stochastic Dual Dynamic Programming: Performance Guarantees and Regularization Schemes
Grani A Hanasusanto, University of Illinois Urbana Champaign 
Multistage stochastic inventory optimization with contracting
Andy Philpott, The University of Auckland 
A Multicut Approach to Compute Upper Bounds for RiskAverse SDDP
Joaquim Dias Garcia, PSR
Stream 3e: Datadriven optimization
TB73 — Datadriven Methods for Contextual Stochastic Optimization

Robust EndtoEnd Learning under Endogenous Uncertainty
Rares Cristian, Massachusetts Institute of Technology 
Robust Actionable Prescriptive Analytics
Minglong Zhou, Fudan University 
Integrated Conditional EstimationOptimization
Meng Qi, Cornell University 
Conformal Contextual Optimization with a Smart PredictthenOptimize Method
Paul Grigas, UC Berkeley
Stream 4b: Transportation and logistics
TB166 — Network Design for Transportation Planning I

Benders Decomposition for Twolayer Network Design with Capacity Decisions
Ali Rouhani, Département D’informatique Et De Recherche Opérationnelle, Université De Montréal, Montreal, Qc, Canada 
From Tactical to Operational Planning: Implementation Policies for Consolidationbased Freight Transportation Systems
Saeedeh Dehghani, UQAM 
Service Network Design with Uncertainty on Water Levels for Intermodal River Transport
Bita Payami Shabestari, Phd Student 
Tactical Planning in MultiStakeholder Freight Transportation Systems under Uncertainty
Nadia Tahmasbi, CIRRELT And Université du Québec à Montréal
TB945 — Transportation and logistics 1

A Comprehensive Stochastic Programming Model for Transfer Synchronization in Transit Networks
Zahra Ansarilari, University of Toronto Alumna 
Flexible and modular energy systems modelling with JuMP; A case study from the Arctic
Lars Hellemo, SINTEF 
Electric Vehicle Routing Problem with Robots, Parcel Lockers, and Time Windows
Nima Moradi, Information Systems Engineering, Concordia University 
Service level requirements in reallifesized bike sharing systems
Jean François Côté, CIRRELT, Université Laval Québec, Canada
TB946 — Transportation and logistics 2

Neural Network Estimators for Optimal Tour Lengths of Traveling Salesperson Problem Instances with Arbitrary Node Distributions
Taha Varol, HEC Montréal 
Online Stochastic Optimization for RealTime Transfer Synchronization in Public Transportation Networks
Laura Kolcheva, Polytechnique Montréal 
Distributionally robust facility location problem under facility disruption, uncertain demand and cost
Shen Peng, Xidian University
Stream 4a: Networks and Telecom
TB943 — Networks and Telecom 1

Budgeted spanning trees and polyhedra
Charles Nourry, Lamsade Université Paris Dauphine 
On Graphs with FiniteTime Consensus and Their Use in Gradient Tracking
Cesar A Uribe, Rice University
Stream 4d: Energy and Environment
TB292 — Optimization models for electric vehicle charging problems 2

Improving Cloud Service Sustainability with Bilevel Optimization under Demand Uncertainty
Nathalia Wolf, INRIA 
The Electric Bus Rostering and Charging Scheduling Problem with Uncertain Energy Consumption: a TwoStage Stochastic Programming Approach
Kyra Ann D’ignazio, HEC Montréal 
Integrated Location, Sizing and Pricing for Electric Vehicle Charging Stations
Miguel Anjos, University of Edinburgh
Stream 4c: Scheduling and manufacturing
TB952 — Scheduling and manufacturing 1

Growing a stochastic subtree for mixed integer linear programming under uncertainty
Zoe Fornier, ENPC 
Stochastic optimization of bus schedules
Léa Ricard, EPFL 
Integrated lot sizing and blending problems under demand uncertainty
Maurício Gonçalves, UNESP Ibilce Exchange Phd Researcher At Hec Montréal