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INFORMS Journal on Optimization, Volume 7

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Volume 7, Number 1, 2025

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Editorial Board. 2-
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Yuhao Wang, Enlu Zhou:
Optimal Computing Budget Allocation for Data-Driven Ranking and Selection. 1-19
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Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel:
Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. 20-37
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Yuetian Luo, Xudong Li, Anru R. Zhang:
Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-Rank Matrix Optimization. 38-60
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Carla Michini, Zachary Zhou:
A Polyhedral Study of Multivariate Decision Trees. 61-82

Volume 7, Number 2, 2025

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Akhilesh Soni, Jeff T. Linderoth, James R. Luedtke, Daniel L. Pimentel-Alarcón:
An Integer Programming Approach to Subspace Clustering with Missing Data. 83-104
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Dimitris Bertsimas, Liangyuan Na, Bartolomeo Stellato, Irina Wang:
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization. 105-141
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Nathan Atkinson, Scott C. Ganz, Dorit S. Hochbaum, James B. Orlin:
The Strong Maximum Circulation Algorithm: A New Method for Aggregating Preference Rankings. 142-155
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Benjamin Grimmer, Kevin Shu, Alex L. Wang:
Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps. 156-169

Volume 7, Number 3, 2025

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Cynthia Barnhart, Alexandre Jacquillat, Alexandria Schmid:
Robotic Warehousing Operations: A Learn-Then-Optimize Approach to Large-Scale Neighborhood Search. 171-194
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Miju Ahn, Harsha Gangammanavar, David Troxell:
Tractable Continuous Approximations for Constraint Selection via Cardinality Minimization. 195-213
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Michael C. Ferris, Andrew B. Philpott:
Optimizing Green Energy Systems. 214-239
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Man Yiu Tsang, Karmel S. Shehadeh:
On the Tradeoff Between Distributional Belief and Ambiguity: Conservatism, Finite-Sample Guarantees, and Asymptotic Properties. 240-263

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