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INFORMS Journal on Optimization, Volume 5
Volume 5, Number 1, January 2023
- Editorial Board. 2-
- Steffen Borgwardt
, Felix Happach, Stetson Zirkelbach:
An Algorithm for the Separation-Preserving Transition of Clusterings. 1-26 - Dabeen Lee
, Milan Vojnovic
, Se-Young Yun:
Test Score Algorithms for Budgeted Stochastic Utility Maximization. 27-67 - Wei Liu
, Li Yang, Bo Yu
:
Distributionally Robust Optimization Based on Kernel Density Estimation and Mean-Entropic Value-at-Risk. 68-91 - Kim Allan Andersen, Trine Krogh Boomsma
, Lars Relund Nielsen
:
MILP Sensitivity Analysis for the Objective Function Coefficients. 92-109 - Dimitris Bertsimas
, Nathan Kallus
:
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing. 110-129
Volume 5, Number 2, April 2023
- Editorial Board. 2-
- Frederic Matter
, Marc E. Pfetsch
:
Presolving for Mixed-Integer Semidefinite Optimization. 131-154 - Dimitris Bertsimas
, Omar Skali Lami
:
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems. 155-171 - Andrew Mastin
, Arden Baxter, Amelia Musselman
, Jean-Paul Watson:
Best Response Intersection: An Optimal Algorithm for Interdiction Defense. 172-190 - Mouad Morabit
, Guy Desaulniers
, Andrea Lodi
:
Machine-Learning-Based Arc Selection for Constrained Shortest Path Problems in Column Generation. 191-210 - Nam Ho-Nguyen
, Fatma Kilinç-Karzan
, Simge Küçükyavuz, Dabeen Lee
:
Strong Formulations for Distributionally Robust Chance-Constrained Programs with Left-Hand Side Uncertainty Under Wasserstein Ambiguity. 211-232
Volume 5, Number 3, July 2023
- Editorial Board. 2-
- Ian G. Ludden
, Rahul Swamy
, Douglas M. King, Sheldon H. Jacobson
:
A Bisection Protocol for Political Redistricting. 233-255 - Anthony Nguyen
, Krishnakumar Balasubramanian
:
Stochastic Zeroth-Order Functional Constrained Optimization: Oracle Complexity and Applications. 256-272 - Nicolas Busch
, Tobias Crönert
, Stefan Minner
, Moritz Rettinger
, Burakhan Sel
:
Deep Learning for Commodity Procurement: Nonlinear Data-Driven Optimization of Hedging Decisions. 273-294 - Alexander S. Estes
, Jean-Philippe P. Richard
:
Smart Predict-then-Optimize for Two-Stage Linear Programs with Side Information. 295-320
Volume 5, Number 4, October 2023
- Editorial Board. 2-
- Kaizhao Sun
, Xu Andy Sun
:
Algorithms for Difference-of-Convex Programs Based on Difference-of-Moreau-Envelopes Smoothing. 321-339 - Mengmeng Song
, Yong Xia
, Hongying Liu
:
Local Optimality Conditions for a Family of Hidden Convex Optimization. 340-355 - Ziye Ma
, Yingjie Bi
, Javad Lavaei
, Somayeh Sojoudi
:
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes. 356-375 - Kevin-Martin Aigner
, Andreas Bärmann, Kristin Braun, Frauke Liers, Sebastian Pokutta, Oskar Schneider, Kartikey Sharma, Sebastian Tschuppik:
Data-Driven Distributionally Robust Optimization over Time. 376-394

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