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1
Google Vizier: A Service for Black-Box Optimization
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Google Vizier: A Service for Black-Box Optimization

Golovin, Daniel ; Solnik, Benjamin ; Moitra, Subhodeep ; Kochanski, Greg ; Karro, John ; Sculley, D.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017, p.1487-1495

New York, NY, USA: ACM

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2
Flows in almost linear time via adaptive preconditioning
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Flows in almost linear time via adaptive preconditioning

Kyng, Rasmus ; Peng, Richard ; Sachdeva, Sushant ; Wang, Di

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019, p.902-913 [Periódico revisado por pares]

New York, NY, USA: ACM

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3
Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing
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Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing

Allen-Zhu, Zeyuan ; Garg, Ankit ; Li, Yuanzhi ; Oliveira, Rafael ; Wigderson, Avi

Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018, p.172-181 [Periódico revisado por pares]

New York, NY, USA: ACM

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4
Multi-objective integer programming approaches for solving optimal feature selection problem: a new perspective on multi-objective optimization problems in SBSE
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Multi-objective integer programming approaches for solving optimal feature selection problem: a new perspective on multi-objective optimization problems in SBSE

Xue, Yinxing ; Li, Yan-Fu

2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018, p.1231-1242

New York, NY, USA: ACM

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5
Mitigating Unwanted Biases with Adversarial Learning
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Mitigating Unwanted Biases with Adversarial Learning

Zhang, Brian Hu ; Lemoine, Blake ; Mitchell, Margaret

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, p.335-340

New York, NY, USA: ACM

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6
Optuna: A Next-generation Hyperparameter Optimization Framework
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Optuna: A Next-generation Hyperparameter Optimization Framework

Akiba, Takuya ; Sano, Shotaro ; Yanase, Toshihiko ; Ohta, Takeru ; Koyama, Masanori

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.2623-2631

New York, NY, USA: ACM

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7
U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results
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U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results

Seada, Haitham ; Deb, Kalyanmoy

Evolutionary Multi-Criterion Optimization, p.34-49 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Optimization of sustainable distributed power generation in distribution networks: a comprehensive analysis of location, capacity, and environmental impact
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Optimization of sustainable distributed power generation in distribution networks: a comprehensive analysis of location, capacity, and environmental impact

Guo, Guangchuan ; Xu, Limei ; Maihemutijiang, Maiheliya ; Wang, Yao

Journal of physics. Conference series, 2024, Vol.2757 (1), p.012016 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
An improved cutting plane method for convex optimization, convex-concave games, and its applications
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An improved cutting plane method for convex optimization, convex-concave games, and its applications

Jiang, Haotian ; Lee, Yin Tat ; Song, Zhao ; Wong, Sam Chiu-wai

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020, p.944-953 [Periódico revisado por pares]

New York, NY, USA: ACM

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10
On the computability of continuous maximum entropy distributions with applications
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On the computability of continuous maximum entropy distributions with applications

Leake, Jonathan ; Vishnoi, Nisheeth K.

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020, p.930-943 [Periódico revisado por pares]

New York, NY, USA: ACM

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