INFORMS Open Forum

Note from the Editor

Alice E. Smith

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 519-520.
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Special Issue of INFORMS Journal on Computing-Quantum Computing and Operations Research

Carleton Coffrin, Elisabeth Lobe, Giacomo Nannicini, Ojas Parekh

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 521-522.
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Learning Equilibria in Asymmetric Auction Games

Martin Bichler, Nils Kohring, Stefan Heidekrüger

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 523-542.
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Decomposition Strategies for Vehicle Routing Heuristics

Alberto Santini, Michael Schneider, Thibaut Vidal, Daniele Vigo

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 543-559.
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Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements

Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 560-577.
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Optimization Problems in Graphs with Locational Uncertainty

Marin Bougeret, Jérémy Omer, Michael Poss

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 578-592.
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Network Migration Problem: A Hybrid Logic-Based Benders Decomposition Approach

Maryam Daryalal, Hamed Pouya, Marc Antoine DeSantis

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 593-613.
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Integrating Users' Contextual Engagements with Their General Preferences: An Interpretable Followee Recommendation Method

Yaxuan Ran, Jiani Liu, Yishi Zhang

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 614-632.
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Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations

Jingxu Xu, Zeyu Zheng

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 633-651.
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Optimizing over an Ensemble of Trained Neural Networks

Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 652-674.
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A Bayesian Semisupervised Approach to Keyword Extraction with Only Positive and Unlabeled Data

Guanshen Wang, Yichen Cheng, Yusen Xia, Qiang Ling, Xinlei Wang

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 675-691.
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Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation

Sebastian Kraul, Markus Seizinger, Jens O. Brunner

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): 692-709.
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Editorial Board

INFORMS Journal on Computing Volume: 35, Number: 3 (May-June 2023): C2-C2.
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