Program for Saturday, March 23rd: Talk View

PROGRAM FOR SATURDAY, MARCH 23RD: TALK VIEW

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8:30

9:00

9:30

10:00

10:30

11:00

11:30

12:00

12:30

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13:30

14:00

14:30

15:00

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18:00

08:30-08:52

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

Sara Fridovich-Keil

08:52-09:14

PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks

L. Yang, J. Zhang, J. Shenouda, D. Papailiopoulos, K. Lee, R. Nowak

09:14-09:36

A linearly convergent Gauss-Newton subgradient method for ill-conditioned problems

Damek Davis, Tao Jiang

09:36-09:58

A superlinearly convergent subgradient method for nonsmooth optimization

Vasileios Charisopoulos, Damek Davis

08:30-08:52

Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to

Anastasios Kyrillidis, David Quiroga

08:52-09:14

Iterative algorithms for finding phase factors in Quantum signal processing

Jiasu Wang

09:14-09:36

Local minima in quantum systems

Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou

09:36-09:58

Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass

Joao Basso, Leo Zhou, Song Mei, David Gamarnik

08:30-08:52

Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps

Omar El Housni, Marouane Ibn Brahim, Danny Segev

08:52-09:14

Stochastic Scheduling: Strategies for Abandonment Management

Yihua Xu, Rohan Ghuge, Sebastian Perez-Salazar

09:14-09:36

Random-order Contention Resolution via Continuous Induction: Tightness for Bipartite Matching under Vertex

Calum MacRury, Will Ma

09:36-09:58

Adaptivity Gaps in Two-sided Assortment Optimization

Omar El Housni, Ulysse Hennebelle, Alfredo Torrico

08:30-08:52

Stochastic-Gradient-based Interior-Point Algorithms

Frank E. Curtis, Vyacheslav Kungurtsev, Daniel Robinson, Qi Wang

08:52-09:14

Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization

Frank E. Curtis, Xin Jiang, Qi Wang

09:14-09:36

Retrospective Approximation for Stochastic Constrained Problems Using Sequential Quadratic

Shagun Gupta, Raghu Bollapragada, Albert Berahas

09:36-09:58

Sequential Quadratic Programming for Noisy Equality Constrained Optimization with Rank-Deficient

Baoyu Zhou, Albert Berahas, Jiahao Shi

08:30-08:52

A Review of Quantum Interior Point Methods - pros and cons

Tamás Terlaky, Mohammadhossein Mohammadisiahroudi

08:52-09:14

Discrete Optimization: A Quantum Revolution?

Stefan Creemers, Luis Fernando Pérez

09:14-09:36

Quantum algorithms for linear differential equations beyond Hamiltonian simulation

Dong An

08:30-08:52

Recent Developments in the Cardinal Optimizer

Qi Huangfu

08:52-09:14

Second-Derivative SQP Methods for Nonconvex Nonlinear Optimization

Jeb Runnoe, Philip Gill

09:14-09:36

Algorithm NCL for constrained optimization: Overcoming LICQ

Michael Saunders, Ding Ma, Dominique Orban

09:36-09:58

An LDLT Quasi-Newton Trust-Region Method

Johannes Brust, Philip Gill

08:30-08:52

A Robust Approach to Locating Vaccination Centers for a Pandemic: A Problem Driven by Herd Immunity and Decision-Dependent Utility, with a Solution

Shibshankar Dey, Sanjay Mehrotra

08:52-09:14

A Successive Refinement Algorithm for Stochastic Programs with Decision-Dependent Distribution

Samuel Affar, Hugh Medal

09:14-09:36

Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets

Xian Yu, Beste Basciftci

09:36-09:58

Residual-Based Distributionally Robust Optimization with Decision-Dependent Uncertainty

Zoey Zhu, Xian Yu, Güzin Bayraksan

08:30-08:52

A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing

Juan Borrero, Leonardo Lozano

08:52-09:14

A branch-and-bound framework to solve a general class of three-stage interdiction games

Jose Walteros

09:14-09:36

A Single-Level Reformulation of Integer Bilevel Programs using Decision Diagrams

Sebastian Vasquez, Leonardo Lozano, Willem-Jan van Hoeve

09:36-09:58

Value Function Projections for Discrete Bilevel Optimization

Leonardo Lozano, David Bergman, Andre Cire

08:30-08:52

Explicit solutions of the SI and Bass models on random networks

Gadi Fibich

08:52-09:14

Distributionally Ambiguous Multistage Stochastic Integer and Disjunctive Programs: Applications to Sequential Two-player Network Interdiction

Manish Bansal, Sumin Kang

09:14-09:36

Fundamentals of Sparse Exact Linear Algebra

Erick Moreno-Centeno, Lorena Mejia Domenzain

09:36-09:58

The minimum feedback arc set problem over bidirectional graphs with an application to faculty hiring

Adolfo Escobedo, Sina Akbari, Jorge Sefair

08:30-08:52

Machine learning enhanced meta-heuristic optimization algorithms for autonomous experimentation

Luka Grbcic, Juliane Muller, Wibe Albert de Jong

08:52-09:14

Hexaly, a new kind of global optimization solver

Frédéric Gardi

09:14-09:36

Data-driven Parameter Estimation for Large-Scale Nonlinear Dynamical Systems

Laurens Lueg, Lorenz Biegler, Carl Laird

09:36-09:58

Efficient Hybrid Simulation Optimization Via Graph Neural Network Metamodeling

Cen Wang, Peter Haas

08:30-08:52

A Fokker-Planck optimal control framework in esophageal cancer

Mesfer Alajmi, Zain Khan, Lasta Maharjan, Souvik Roy

08:52-09:14

A differential game framework for regulating aberrant signaling pathways in esophageal cancer

Mesfer Alajmi, Souvik Roy

09:14-09:36

Classifying with Uncertain DEA

Allen Holder

09:36-09:58

Blind Source Separation with Spatiotemporal Beamforming

Vikas K, Arnab Kumar Laha

13:15-13:37

Stochastic Gradient Succeeds for Bandits

B. Dai, J. Mei, Z. Zhong, A. Agarwal, C. Szepesvari, D. Schuurmans

13:37-13:59

On the Foundation of Distributionally Robust Reinforcement Learning

Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou

13:59-14:21

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Algorithm Design and Convergence Analysis

Jiajin Li, Taoli Zheng, Linglingzhi Zhu, Jose Blanchet, Anthony Man-Cho So

14:21-14:43

HyperAgent: A Simple, Efficient and Scalable Reinforcement Learning Framework in Complex Environment

Yingru Li

13:15-13:37

Data-Driven Structured Reinforcement Learning: Foundations and Practice

Jian Li

13:37-13:59

Hindsight Learning for MDPs with Exogenous Inputs

Sean Sinclair

13:59-14:21

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child

Kai Wang

14:21-14:43

Handling Action Space Constraints in Deep Reinforcement Learning

Arunesh Sinha

13:15-13:37

An interesting generalization of the Koopman-Beckmans quadratic assignment problem

Abraham Punnen, Wei Yang, Yang Wang, Ante Custic

13:37-13:59

Quadratic Combinatorial Optimization: A Polyhedral Characterization of Linearizable Instances

Lucas Waddell

13:59-14:21

Simple Randomized Rounding for Max-Min Eigenvalue Augmentation

Jourdain Lamperski, Haeseong Yang, Oleg A. Prokopyev

14:21-14:43

Tightening Linear Reformulations of 0-1 Cubic Knapsack Problems with Variable Reordering

Richard Forrester, Lucas Waddell

13:15-13:37

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban

13:37-13:59

Towards a First-Order Algorithmic Framework for Wasserstein Distributionally Robust Optimization

Anthony Man-Cho So

13:59-14:21

How do neural nets learn features of "simple" functions

Mahdi Soltanolkotabi

14:21-14:43

Can Learning Be Explained By Local Optimality In Low-rank Matrix Recovery?

Jianhao Ma, Salar Fattahi

13:15-13:37

Facial Reduction for Semidefinite Relaxations of Combinatorial Optimization Problems

Hao Hu, Boshi Yang

13:37-13:59

O-minimal structures and central paths in nonlinear optimization

Ali Mohammad Nezhad, Saugata Basu

13:59-14:21

A Peaceman-Rachford Splitting Method for the Protein Side-Chain Positioning Problem

Henry Wolkowicz, Forbes Burkowski, Haesol Im

13:15-13:37

Performance Benchmarks of Quantum Annealing Hardware

Carleton Coffrin, Zach Morrell

13:37-13:59

Federated Hierarchical Tensor Networks: a Collaborative Quantum AI-Driven Framework for Healthcare

Amandeep Singh Bhatia, David Bernal Neira

13:59-14:21

Optimization Applications as Quantum Performance Benchmarks

T. Lubinski, C. Coffrin, C. McGeoch, P. Sathe, J. Apanavicius, D.E. Bernal Neira

14:21-14:43

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization

Bernal Neira, Brown, Sathe, Wudarski, Pavone, Rieffel, Venturelli

13:15-13:37

MSPLib and MSPFormat: A Library Of Problems and a New Standardized Data Format For Benchmarking Stochastic Dual Dynamic

Bonn Kleiford Seranilla, Nils Loehndorf, Alexander Shapiro

13:37-13:59

Self-Adapting Network Relaxations for Weakly Coupled Markov Decision Processes

Andre Augusto Cire, Selvaprabu Nadarajah

13:59-14:21

A Data-Driven Multistage Stochastic-Robust Optimization Approach with Temporally Correlated

Zhiming Zhong, Neng Fan

14:21-14:43

Nonlinear Decision Rules Made Scalable by Nonparametric Liftings

Eojin Han, Omid Nohadani

13:15-13:37

Exact Algorithm for Maximum Feasible Subsystem Problems with Uncertain Input Data

Ross George, Manish Bansal

13:37-13:59

Chance-Constrained Fractional Programming under Ambiguity -- Distributionally Robust Maximization of Ratio Exceedance

Miguel Lejeune, Hoang Nam Nguyen

13:59-14:21

Proximal OA method for solving nonconvex MIQCQP

Dimitri Papadimitriou

14:21-14:43

Risk-Adaptive Local Decision Rules

Johannes Royset, Miguel Lejeune

13:15-13:37

Applications of 0-1 Neural Networks in Prescription and Prediction

Vrishabh Patil, Yonatan Mintz

13:37-13:59

Adaptive Optimization and Safe Reinforcement for Heparin Doseing

Yonatan Mintz, Qinyang He

13:59-14:21

Improving Patient Access via Primary Care Optimization

Holly Wiberg, Susan Barrett

14:21-14:43

Quantify Childbirth Care Inequity for Socioeconomically Disadvantaged Groups

Emily Fainman

13:15-13:37

Surface Mount Technology (SMT) Production Line Scheduling by Computer Simulation and Genetic

Chi-Bin Cheng, Marc Christian Etienne, Chao-Jung Cheng

13:37-13:59

A Novel Population Based Optimization Approach: GAGAN Algorithm for Traveling Salesman Problem

Gagandeep Kaur Sidhu

13:59-14:21

Worm Optimization Algorithm to Solve for the Transportation Problem of Cross-Docking Network

Jean Paul Arnaout

13:15-13:37

Tight Bounds for The Price of Fairness

Yifeng Cao, Yichuan Ding, Daniel Granot

13:37-13:59

Achieving Group Fairness through Social Welfare Optimization

John Hooker, Violet Chen, Derek Leben

13:59-14:21

Districting with Overlapping Service Regions

Wenqian Xing, Chong Liu, Shixiang Zhu

14:21-14:43

Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement

Kirk Bansak, Soonbong Lee, Vahideh Manshadi, Rad Niazadeh, Elisabeth Paulson

13:15-14:45 NSF Outreach Session, by Siqian Shen

16:30-16:52

No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions

Haipeng Luo

16:52-17:14

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements

E.-V. Vlatakis-Gkaragkounis, A. Giannou, Y. Chen, Q. Xie

17:14-17:36

Policy Mirror Descent Inherently Explores the Action Space

Yan Li, Guanghui Lan

17:36-17:58

Constrained Policy Optimization in Reinforcement Learning: A Tale of Regularization and Optimism

Dongsheng Ding

16:30-16:52

Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control

Jan Drgona, Aaron Tuor, Madelyn Shapiro, James Koch, Draguna Vrabie

16:52-17:14

Exploiting Observed Network Behavior for Accelerated Optimal Power Flow

Constance Crozier

17:14-17:36

Adaptive Prescriptions for Optimal Power Flow under Uncertainty

Robert Mieth

17:36-17:58

On the coupling between the scheduling of electrified fleets of buses travel and charging and grid

Nathan Cho, Andrea Lodi, Anna Scaglione, Tong Wu

16:30-16:52

Non-Monotonicity of Branching Rules with respect to Linear Relaxations

Prachi Shah, Santanu Dey

16:52-17:14

Compressing Branch-and-Bound Trees

Gonzalo Muñoz, Joseph Paat, Alinson S. Xavier

17:14-17:36

Branch-and-Bound with Predictions for Variable Selection

Yatharth Dubey

17:36-17:58

Branch-and-bound for D-Optimality with fast local search and variable-bound tightening

Gabriel Ponte, Marcia Fampa, Jon Lee

16:30-16:52

Lower Complexity Bounds of First-order Methods for Affinely Constrained Composite Non-convex

Yangyang Xu, Wei Liu, Qihang Lin

16:52-17:14

Last-iterate convergence for convex function-constrained optimization

Digvijay Boob, Mohmmad Khalafi

17:14-17:36

Computing a directional stationary solution of DC programs via ADMM

Miju Ahn, Chengyu Ke, Yifei Lou

17:36-17:58

Optimal Regularization for a Data Source

Oscar Leong, Eliza O'Reilly, Yong Sheng Soh, Venkat Chandrasekaran

16:30-16:52

Any-dimensional convex sets

Eitan Levin, Venkat Chandrasekaran

16:52-17:14

Iterative Refinement for Semidefinite Optimization

M. Mohammadisiahroudi, B. Augustino, P. Sampourmahani, T. Terlaky

17:14-17:36

Computing implicit equalities of a linear inequality system

Hao Hu, Sarah Kelly, Boshi Yang

16:30-16:52

Model Deployment with GAMS Engine

Steven Dirkse

16:52-17:14

The Best of Both Worlds - Integrating Python and GAMS

Justine Broihan, Steven Dirkse

17:14-17:36

AMPLS Solver Libraries

Christian Valente, Gleb Belov, Gyorgy Matyasfalvi, Filipe Brandao

17:36-17:58

Automatic Reformulations in AMPL’s New MP Solver Interface Library

Gleb Belov, Filipe Brandao, Gyorgy Matyasfalvi, Robert Fourer

16:30-16:52

Adaptive Partitioning for Chance-Constrained Problems with Finite Support

Marius Roland, Alexandre Forel, Thibaut Vidal

16:52-17:14

Integer Programming Approaches for Distributionally Robust Chance Constraints with Adjustable Risks

Yiling Zhang

17:14-17:36

Chance-Constrained Set k-Covering Problem

Shunyu Yao, Neng Fan, Pavlo Krokhmal

17:36-17:58

Mixed-Integer Programming Formulations for Chance-Constrained Optimization with Mixture Models

S. Dey, T. Yi, A. Maldonado, S. Mehrotra, A. Subramanyam

16:30-16:52

Local Search for Constrained Determinant Maximization

Aditi Laddha

16:52-17:14

Non-convex geodesic optimization for the Paulsen problem in Frame Theory

Akshay Ramachandran

17:14-17:36

Hidden convexity, optimization, and algorithms on rotation matrices

Akshay Ramachandran, Kevin Shu, Alex Wang

17:36-17:58

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements

Emmanouil Vlatakis

16:30-16:52

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Sara Babakniya

16:52-17:14

Sparse Random Networks for Communication-Efficient Federated Learning

Berivan Isik, Francesco Pase

17:14-17:36

Adaptive Federated Learning with Auto-Tuned Clients

Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar A. Uribe, Anastasios Kyrillidis

17:36-17:58

CyberTransfer: A Transfer Learning Approach for Enhancing Graph Neural Networks for Intrusion

Delaram Pirhayatifard, Arlei Silva

16:30-16:52

Exploring Nonlinear Distance Metrics for Lipschitz Constant Estimation in Lower Bound Construction for Global

Mohammadsina Almasi, Hadis Anahideh, Jay Rosenberger

16:52-17:14

A New Fast Proximal Point Algorithm for Monotone Inclusions

Chinedu Izuchukwu, Ke Guo, Yekini Shehu, Jen-Chih Yao

17:14-17:36

A new path tracking algorithm for solving the CDT subproblem

Jinyu Dai

17:36-17:58

Deep Learning with Nontrivial Constraints

Chuan He, Ryan Devera, Wenjie Zhang, Ying Cui, Zhaosong Lu, Ju Sun