Program for Monday, March 16th: Talk View

PROGRAM FOR MONDAY, MARCH 16TH: TALK VIEW

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8:30

9:00

9:30

10:00

10:30

11:00

11:30

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12:30

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13:30

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14:30

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21:00

08:30-08:52

Stochastic DC Optimal Power Flow With Reserve Saturation

Line Roald, Rohit Kannan, Jim Luedtke

08:52-09:14

A Reserve Scheduling Framework for Uncertainty Management in Power Systems and Gas Pipelines

Kaarthik Sundar, Anatoly Zlotnik, Line Roald, Sidhant Misra

09:14-09:36

Distributionally Robust Transmission Grid under Geomagnetic Disturbances

Minseok Ryu, Harsha Nagarajan, Russell Bent

09:36-09:58

Optimal Power Flow in Distribution Networks under Stochastic N-1 Disruptions

Haoxiang Yang, Harsha Nagarajan

08:30-08:52

A Sequential Sampling Method for Distributionally Robust Linear Programs

Harsha Gangammanavar, Manish Bansal

08:52-09:14

(Partial) Convex Hull for Deterministic and Stochastic Structured Conic Mixed Integer Sets using Conic Mixed Integer

Manish Bansal, Yingqiu Zhang

09:14-09:36

Using Effective Scenarios to Accelerate Decomposition Algorithms for Two-stage Distributionally Robust Optimization with Total Variation

Chennan Zhou, Güzin Bayraksan

08:30-08:52

Exact Algorithms for Lot-Sizing Problems with Multiple Capacities, Piecewise Concave Production Costs, and

Kartik Kulkarni, Manish Bansal

08:52-09:14

A Heuristic and Exact Solution Approach for the 0-1 Cubic Knapsack Problem

Richard Forrester, Lucas Waddell

09:14-09:36

A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

09:36-09:58

The Competitive Ratio of Threshold Policies for Online Unit-density Knapsack Problems

Jinglong Zhao, Will Ma, David Simchi-Levi

08:30-08:52

Template-based Minor Embedding for Adiabatic Quantum Optimization

Thiago Serra, Teng Huang, Arvind Raghunathan, David Bergman

08:52-09:14

Integer programming techniques for minor-embedding in quantum annealers

D. Bernal, K.E.C. Booth, R. Dridi, H. Alghassi, S. Tayur, D. Venturelli

09:14-09:36

The Potential of Quantum Annealing for Rapid Solution Structure Identification

Yuchen Pang, Carleton Coffrin, Andrey Lokhov, Marc Vuffray

09:36-09:58

Multistart Methods for Quantum Approximate Optimization

Ruslan Shaydulin, Ilya Safro, Jeffrey Larson

08:30-08:52

Data-driven optimization for wind farm siting

Mario Arrieta-Prieto, Kristen Schell

08:52-09:14

Reinforcement Learning under Drift: The Blessing of (More) Optimism

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

09:14-09:36

JANOS : An Integrated Predictive and Prescriptive Modeling Framework

David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind Raghunathan

09:36-09:58

Data-driven sample average approximation with covariate information

Rohit Kannan, Guzin Bayraksan, James Luedtke

08:30-08:52

Online Primal-Dual Mirror Descent under Stochastic Constraints

Xiaohan Wei, Hao Yu, Michael J. Neely

08:52-09:14

Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality, and

Saeed Ghadimi, Krishnakumar Balasubramanian

09:14-09:36

Level-Set Method for Convex Constrained Optimization with Error Bound Conditions

Runchao Ma, Qihang Lin, Negar Soheili, Selva Nadarajah

09:36-09:58

Powerful Operator Splitting with Projective Splitting

Patrick Johnstone, Jonathan Eckstein

08:30-08:52

Improving Operating Room Scheduling: Integer and Constraint Programming Approaches

Melike Hazal Can

08:52-09:14

Multilevel algorithms for geographical districting problems

Rahul Swamy, Douglas King, Sheldon Jacobson

09:14-09:36

Bi-Objective Firefly Optimization Algorithm for n-Stage Parallel Machine Scheduling

Syed Abou Iltaf Hussain, Uttam Kumar Mandal

10:30-11:30 The ARPA-E Grid Optimization Competition (Speaker: Andreas Waechter)

13:15-13:37

Online Learning in Service Systems: Optimal Pricing And Capacity Sizing For A G/G/1 Queue With Demand

Yunan Liu, Xinyun Chen

13:37-13:59

Tractable Reformulations of Distributionally Robust Two-stage Stochastic Programs with $\infty-$Wasserstein

Weijun Xie

13:59-14:21

Learning Interpretable Policies for Markov Decision Process by Hybrid Linear-Black-Box Model

Qihang Lin

14:21-14:43

Data-Driven Distributionally Robust Appointment Scheduling

Guanglin Xu, Ruiwei Jiang, Minseok Ryu

13:15-13:37

Nonlinear Regularization for Neural Networks

Dimitri Papadimitriou

13:37-13:59

The Role of Optimization Algorithms in Generalization of Deep Learning

Navid Azizan, Sahin Lale, Babak Hassibi

13:59-14:21

Convergent variants of gradient descent for neural networks

Thomas Flynn

14:21-14:43

On the Benefit of Width for Neural Networks: Disappearance of Basins

Dawei Li, Tian Ding, Ruoyu Sun

13:15-13:37

A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints

Margarita Castro, Andre Augusto Cire, Chris Beck

13:37-13:59

Ranking-based Facet Defining Inequalities for the Weak Order Polytope

Adolfo Escobedo

13:59-14:21

On the convexification of constrained quadratic optimization problems with indicator variables

Linchuan Wei, Andres Gomez, Simge Kucukyavuz

14:21-14:43

Subadditive Duality for Conic Mixed-Integer Programs

Diego Moran, Burak Kocuk, Gustavo Angulo

13:15-13:37

Lossless Compression of Deep Neural Networks

Thiago Serra, Abhinav Kumar, Srikumar Ramalingam

13:37-13:59

Boolean Decision Rules via Column Generation

Oktay Gunluk, Sanjeeb Dash, Dennis Wei

13:59-14:21

Outlier detection in time series via mixed-integer conic quadratic optimization

Andrés Gómez

13:15-13:37

Exploiting symmetry in linear programming

Ethan Deakins, James Ostrowski, Ben Knueven

13:37-13:59

The Star Degree Centrality Problem: A Benders Decomposition Approach

Mustafa Camur, Thomas C. Sharkey, Chrysafis Vogiatzis

13:59-14:21

An Integer Column Generation Procedure for Coordinating Product Transitions in Semiconductor Manufacturing using Combinatorial

Ankit Bansal, Osman Ozaltin, Reha Uzsoy, Karl Kempf

14:21-14:43

The RIP Technique for Box Configuration for Birchbox

Irv Lustig, Patricia Randall, Robert Randall

13:15-13:37

Extreme-point Tabu Search Heuristic for Fixed-Charge Generalized Transshipment Problems

Angelika Leskovskaya, Richard Barr

13:37-13:59

Minimum blockers for the set covering problem

Luca Wrabetz, Jose L. Walteros

13:59-14:21

A Stochastic Programming Model with Endogenous and Exogenous Uncertainty for Reliable Network Design Under Random

Tanveer Hossain Bhuiyan, Hugh Medal

13:15-13:37

Solving risk-averse mixed-integer stochastic programs using convex approximations

Ruben van Beesten, Ward Romeijnders, Kees Jan Roodbergen

13:37-13:59

Stochastic Team Formation Problem

Nihal Berktas, Hande Yaman, Nilay Noyan

13:59-14:21

Conic Formulations for a Mean-Risk Stochastic Mixed Integer Nonlinear Program with Applications to Network

Amy Burton, Akshay Gupte

15:10-16:10 Do Simpler Models Exist and How Can We Find Them? (Speaker: Cynthia Rudin)

16:30-16:52

Machine Learning to Address Hospital Capacity: Predicting Discharges and Identifying Barriers to

Khaniyev, Safavi, Zenteno, Zanger, Seelen, Copenhaver, Dunn, Levi

16:52-17:14

Adaptive Pharmaceutical Supply Chain Design under Disruption and its Effects on Drug Shortages

Emily Tucker, Mark Daskin, Burgunda Sweet, Wallace Hopp

17:14-17:36

Data-driven optimization of supplemental screening usage in breast cancer detection

Burhaneddin Sandikci, Mucahit Cevik

17:36-17:58

A distributionally robust optimization approach for outpatient colonoscopy scheduling

Karmel Shehadeh, Amy Cohn, Ruiwei Jiang

16:30-17:45

Tutorial: A Unified Framework for Sequential Decisions under Uncertainty

Warren Powell

16:30-16:52

Inverse Mixed-Integer Optimization with Trust-Region Methods

Ian Yihang Zhu, Merve Bodur, Timothy Chan

16:52-17:14

Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency

Sebastian Perez-Salazar, Ishai Menache, Mohit Singh, Alejandro Toriello

17:14-17:36

Neural network approximations in quadratic optimization

Benjamin Beach, Robert Hildebrand, Joey Huchette

17:36-17:58

Characterizing Linearizable QAPs by the Level-1 RLT

Lucas Waddell, Warren Adams

16:30-16:52

An MINLP approach to bounding probability with applications to Network routing

Ashish Chandra, Mohit Tawarmalani, Sanjay Rao

16:52-17:14

On SDP formulations for quadratic optimization with indicator variables

Shaoning Han, Alper Atamtürk, Andrés Gómez

17:14-17:36

Computing the Projection onto the Degenerate Doubly Nonnegative Cone

Ying Cui, Defeng Sun, Kim-Chuan Toh

16:30-16:52

Electrical Flows over Spanning Trees

Swati Gupta, Ali Khodabhaksh, Hassan Mortagy, Evdokia Nikolova

16:52-17:14

Categorical Feature Compression via Submodular Optimization

M.H. Bateni, L. Chen, H. Esfandiari, T. Fu, A. Rostamizadeh, V. Mirrokni

17:14-17:36

Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence

Mateo Diaz

17:36-17:58

Sparse Regression with Interactions: A Scalable Integer Programming Approach

Hussein Hazimeh, Rahul Mazumder

16:30-16:52

A Progressive approximation approach for the exact solution of sparse large-scale binary interdiction

Jorge A. Sefair, Claudio Contardo

16:52-17:14

Estimating Wireless Mesh Network Vulnerability: A Search for the “Best” Interference Model

Tanveer Hossain Bhuiyan, Hugh Medal

17:14-17:36

Network Interdiction with Asymmetric Cost Uncertainty

Di Nguyen, J. Cole Smith

16:30-16:52

Interval Linear Programming with an Additional Function of Interest: Computational Complexity, Reformulations, and

Mohsen Mohammadi, Monica Gentili, Milan Hladik

16:52-17:14

The Outcome Range Problem in Interval Linear Programming

Mohsen Mohammadi, Monica Gentili

17:14-17:36

Control and tolerance two-sided interval linear programming problems

Phantipa Thipwiwatpotjana, Artur Gorka, Worrawate Leela-Apiradee

19:00-21:00 Conference Dinner