Program for Sunday, March 15th: Talk View

PROGRAM FOR SUNDAY, MARCH 15TH: TALK VIEW

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8:00

8:30

9:00

9:30

10:00

10:30

11:00

11:30

12:00

12:30

13:00

13:30

14:00

14:30

15:00

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18:30

08:00-08:15 Opening Remarks

08:30-08:52

Advances in Scalable Open Source Software for Parallel Stochastic Programming

J.-P. Watson, B. Knueven, D. Woodruff, C. Muir, D. Mildebrath, J. Siirola

08:52-09:14

Biased Stochastic Approximation for Conditional Stochastic Optimization

Yifan Hu, Siqi Zhang, Xin Chen, Niao He

09:14-09:36

Benders Cut Classification via Support Vector Machines for Solving Two-stage Stochastic Programs

Huiwen Jia, Siqian Shen

08:30-08:52

Dynamic Tuberculosis Screening for Healthcare Employees

Mahsa Kiani, Tugce Isik, Burak Eksioglu

08:52-09:14

Equity in Genetic Newborn Screening

Hussein El Hajj, Ebru Bish, Douglas Bish

09:14-09:36

Mean-Risk Two-Stage Vaccine Allocation Under Uncertainty

Amira Hijazi, Osman Ozaltin

08:30-08:52

Complexity of stochastic dual dynamic programming

George Lan

08:52-09:14

Learning to optimize with hidden constraints

Rafid Mahmood, Aaron Babier, Timothy Chan, Adam Diamant

09:14-09:36

Approximation Algorithms for the Maximum Entropy Sampling Problem

Yongchun Li, Weijun Xie

08:30-08:52

On Sufficient and Necessary Conditions for Rank-One Generated Cones

C.J. Argue, Fatma Kılınç-Karzan, Alex Wang

08:52-09:14

Weak infeasibility in semidefinite programming: a complete characterization and generating all

Gabor Pataki, Aleksandr Touzov

09:14-09:36

A Decomposition Interior-Point Algorithm for Stochastic Linear Optimization in a Hilbert Space

Baha Alzalg

08:30-08:52

Approximating L1-Norm Best-Fit Lines and Extensions

Paul Brooks, Jose Dula

08:52-09:14

Engineering fast multilevel support vector machines

Ehsan Sadrfaridpour, Talayeh Razzaghi, Ilya Safro

09:14-09:36

Partition Hypergraphs with Embeddings

Justin Sybrandt, Ruslan Shaydulin, Ilya Safro

08:30-08:52

Optimizing Revenue while Showing Relevant Recommendations

Theja Tulabandhula, Deeksha Sinha

08:52-09:14

Maximizing the total pleasure from a personalized day tour

Rabin Jana

09:14-09:36

Solving Multi-Objective Combinatorial Cell Formation Problem: A Two-Step Approach Using A Distance Function and A Genetic

Manojit Chattopadhyay, Rabin Jana, Barnali Chaudhuri

08:30-08:52

Distributed Algorithms for Multi-Scale Capacity Expansion Problems in Power Systems

Run Chen, Andrew Liu

08:52-09:14

Integrated Learning and Optimization for AC-OPF

Pascal Van Hentenryck, Ferdinando Fioretto, Terrence Mak

09:14-09:36

Path-based Valid Inequalities for DC Power Systems with Discrete Transmission Considerations

Kyle Skolfield, Adolfo Escobedo

10:30-10:52

Subtree Decomposition Method For Multistage Stochastic Programs

Rahman Khorramfar, Osman Ozaltin, Burhaneddin Sandikci

10:52-11:14

An Algorithm for Parametric Quadratically Constrained Quadratic Programs

Andrew Pangia, Margaret Wiecek

11:14-11:36

Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

Yifan Hu, Xin Chen, Niao He

11:36-11:58

Comparing model-free and model-based methods for multistage stochastic programming

Simon Risanger, Markus Löschenbrand

10:30-10:52

Variance Reduction in Stochastic Programming and Applications in Logistics

Jiajun Xu, Suvrajeet Sen

10:52-11:14

Robust Optimization with Decision-Dependent Information Discovery

Phebe Vayanos, Angelos Georghiou, Han Yu

11:14-11:36

Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens

Fatma Kılınç-Karzan, Simge Küçükyavuz, Dabeen Lee

11:36-11:58

Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer

Can Li, David Bernal, Kevin Furman, Ignacio Grossmann

10:30-10:52

Robust Assortment Optimization under Product Unavailability

Saharnaz Mehrani, Jorge Sefair

10:52-11:14

Precision Heparin Dosing using Mixed Integer Optimization

Yonatan Mintz, Eva Lee

11:14-11:36

Strong formulations for sparse regression

Andres Gomez, Alper Atamturk

11:36-11:58

A mixed-integer optimization approach for exhaustive cross-validated model selection

Dennis Kreber

10:30-10:52

On the tightness of SDP relaxations of QCQPs

Alex Wang, Fatma Kılınç-Karzan

10:52-11:14

Sparse PCA under a conic optimization lens: MISDP reformulations and scalable SOCP bounds

Dimitris Bertsimas, Ryan Cory-Wright

11:14-11:36

On Local Minima of Cubic Polynomials

Jeffrey Zhang, Amir Ali Ahmadi

10:30-10:52

Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data

Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan

10:52-11:14

Learning Dynamical Systems with Side Information

Bachir El Khadir, Amir Ali Ahmadi

11:14-11:36

Composite optimization for blind deconvolution

Mateo Diaz

11:36-11:58

Structured local minima in some nonconvex optimization problems

Yuqian Zhang

10:30-10:52

Data driven stochastic optimization applied to renewable energy penetration in power systems

Joaquim Dias Garcia

10:52-11:14

Exploiting almost identical generators in unit commitment

Jonathan Schrock, James Ostrowski, Ben Knueven

11:14-11:36

Spatio-temporal forecasting for wind energy and its impact on wind farm operations

Ahmed Aziz

10:30-10:52

Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity

Peijun Xiao, Zhisheng Xiao, Ruoyu Sun

10:52-11:14

Surrogate Optimization of Deep Neural Networks for Groundwater Predictions

Mueller, Park, Sahu, Varadharajan, Arora, Faybishenko, Agarwal

11:14-11:36

New Bregman proximal type algorithms for solving DC optimization problems

Shota Takahashi, Mituhiro Fukuda

11:36-11:58

New Multi-Step Conjugate Gradient Method for Optimization

Issam Moghrabi

13:45-14:45 Learning to Optimize and Optimizing Learning (Speaker: Pascal van Hentenryck)

15:15-15:37

Self-guided Approximate Linear Programs

Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin

15:37-15:59

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation

Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang

15:59-16:21

Adaptive Approximate Linear Programs based on Index Networks for Solving Weakly-coupled Dynamic

Selvaprabu Nadarajah, Andre Augusto Cire

16:21-16:43

Lookahead-bounded Q-learning

Ibrahim El Shar, Daniel Jiang

15:15-15:37

Dualization and Bilevel optimization in JuMP

Guilherme Bodin, Joaquim Garcia, Benoît Legat, Christopher Coey

15:37-15:59

Disjunctive cuts for Mixed-Integer Conic Optimization

Mathieu Tanneau, Andrea Lodi, Juan Pablo Vielma

15:59-16:21

Hypatia: Generic Nonsymmetric Conic Optimization in Julia

Chris Coey, Lea Kapelevich, Juan Pablo Vielma

16:21-16:43

Hypatia: formulations, linear algebra, and preliminary computational results

Lea Kapelevich, Christopher Coey, Juan Pablo Vielma

15:15-15:37

In memory of Dave Shanno: Revisiting Quasi-Newton Methods

Hande Benson

15:37-15:59

In Memory of Dave Shanno: Objective Bounds from ADMM Algorithms

Jonathan Ecksein

15:59-16:21

Solving the Problem of Portfolio VAR Minimization as a Nonlinear Program

Arun Sen

16:21-16:43

In memory of Dave Shanno: from optimization to machine learning, it’s all the same data

Roy Marsten

15:15-15:37

First-order methods for large-scale linear programming

H. Lu, M. Lubin, D. Applegate, O. Hinder, B. O'Donoghue‎, W. Schudy

15:37-15:59

Strong mixed-integer programming formulations for trained neural networks

R. Anderson, J. Huchette, W. Ma, C. Tjandraatmadja, J.P. Vielma

15:59-16:21

Risk Guarantees For End-to-end Prediction and Optimization Processes

Nam Ho-Nguyen, Fatma Kilinc-Karzan

15:15-15:37

Exploring Algorithmic Fairness in Robust Graph Covering Problems

Rahmattalabi, Vayanos, Fulginiti, Rice, Wilder, Yadav, Tambe

15:37-15:59

Optimization Under Uncertainty in Kidney Exchange

Duncan Mcelfresh, John P. Dickerson, Hoda Bidkhori, Ke Ren

15:59-16:21

Robust two echelon vehicle and drone routing for humanitarian relief operations

Chrysafis Vogiatzis

15:15-15:37

Optimization Algorithms for the Bin Packing Problem with Minimum Color Fragmentation

Saharnaz Mehrani, David Bergman, Carlos Cardonha

15:37-15:59

Data-Driven Optimization for Team Formation

David Bergman, Teng Huang, John Mathieu

15:59-16:21

On parametric decision diagrams

Leonardo Lozano, David Bergman, Andre Cire

16:21-16:43

Last mile scheduling under uncertainty

Arvind Raghunathan, Thiago Serra, David Bergman, John Hooker

15:15-15:37

Scenario grouping and decomposition algorithms for chance-constrained programs

Yan Deng, Huiwen Jia, Shabbir Ahmed, Jon Lee, Siqian Shen

15:37-15:59

Exploiting Multiple Optimal Solutions in Independent Set

Chris Muir, James Ostrowski

15:59-16:21

Learning-Enhanced Integer Programming: A Hybrid Approach for Routinely Solved Discrete Optimization

Alinson Santos Xavier, Feng Qiu

16:21-16:43

Cardinality Constrained Multilinear Sets

Rui Chen, Sanjeeb Dash, Oktay Gunluk

17:00-17:22

Stochastic Dynamic Linear Programming and its Application

Harsha Gangammanavar, Suvrajeet Sen

17:22-17:44

Adaptive Partition-based Stochastic Dual Dynamic Programming Algorithms For Multistage Stochastic Linear

Murwan Siddig, Yongjia Song

17:44-18:06

A Data-Driven Approach for a Class of Stochastic Dynamic Optimization Problems

Thuener Silva, Davi Valladão, Tito Homem-De-Mello

18:06-18:28

Distributionally Robust Stochastic Dual Dynamic Programming

Daniel Duque, David Morton

17:00-17:22

Spectral relaxations and branching for MIQPs

Carlos Nohra, Arvind Raghunathan, Nikolaos Sahinidis

17:22-17:44

Aspects of maximum-entropy sampling

Jon Lee

17:44-18:06

Volumetric Analysis of Perspective Reformulations

Jon Lee, Daphne Skipper, Emily Speakman

18:06-18:28

Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning

B. Knueven, M. Bynum, A. Castillo, J. Siirola, C. Laird, J.-P. Watson

17:00-17:22

Remembering Dave Shanno: Twenty Years of Collaboration

Robert Vanderbei

17:22-17:44

In Memory of Dave Shanno: the History of OB1

Irv Lustig

17:44-18:06

In Memory of Dave Shanno: making an interior-point method for NLP converge

Igor Griva

18:06-18:28

Reflections on Dave Shanno

Ariela Sofer, Donald Goldfarb

17:00-17:22

Radial Duality

Benjamin Grimmer

17:22-17:44

Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds

David Gutman, Nam-Ho Nguyen

17:44-18:06

Complexity of proximal augmented Lagrangian for nonconvex optimization with nonlinear equality

Yue Xie, Stephen Wright

18:06-18:28

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

Cesar A. Uribe, Soomin Lee, Alexander Gasnikov, Angelia Nedich

17:00-17:22

Integer Programming Methods to Alleviate Human Trafficking in Maritime Settings

Jamie Miller, Robert Curry

17:22-17:44

Impact of Bias on Hiring Decisions

Swati Gupta, Jad Salem

17:44-18:06

Optimal Active Preference Elicitation via Adjustable Robust Optimization

Phebe Vayanos, Duncan Mcelfresh, Yingxiao Ye, John P. Dickerson, Eric Rice

17:00-17:22

On Polyhedra of Two Influence Maximization Problems in Social Networks

Cheng-Lung Chen, Vladimir Boginski

17:22-17:44

A Branch-and-Cut Approach For Simple Graph Partitioning on Sparse Graphs

Demetrios V. Papazaharias, Jose L. Walteros

17:44-18:06

Centralities for Networks with Consumable Resources

Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur Chowdhury, Ilya Safro

17:00-17:22

Achieving Consistency with Cutting Planes

Danial Davarnia, Atefeh Rajabalizadeh, John Hooker

17:22-17:44

Network Models for Multiobjective Discrete Optimization

David Bergman, Merve Bodur, Carlos Cardonha, Andre Augusto Cire

17:44-18:06

A stochastic mixed integer linear program for agricultural land use optimization

Sarah Ryan, Gorkem Emirhuseyinoglu