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Refinado por: assunto: Computer Science - Learning remover
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

Washim Uddin Mondal ; Agarwal, Mridul ; Aggarwal, Vaneet ; Ukkusuri, Satish V

arXiv.org, 2022-01 [Periódico revisado por pares]

Ithaca: Cornell University Library, arXiv.org

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2
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
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Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning

Wang, Bokun ; Yuan, Zhuoning ; Ying, Yiming ; Yang, Tianbao

2023-01

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3
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
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Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity

Li, Huan ; Lin, Zhouchen

2023-01

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4
Bug Characterization in Machine Learning-based Systems
Bug Characterization in Machine Learning-based Systems
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Bug Characterization in Machine Learning-based Systems

Morovati, Mohammad Mehdi ; Amin Nikanjam ; Tambon, Florian ; Khomh, Foutse ; Zhen Ming ; Jiang

Empirical software engineering : an international journal, 2023-07 [Periódico revisado por pares]

Ithaca: Cornell University Library, arXiv.org

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5
Mining gold from implicit models to improve likelihood-free inference
Mining gold from implicit models to improve likelihood-free inference
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Mining gold from implicit models to improve likelihood-free inference

Brehmer, Johann ; Louppe, Gilles ; Pavez, Juan ; Cranmer, Kyle

Proceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (10), p.5242-5249 [Periódico revisado por pares]

United States: National Academy of Sciences

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6
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
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Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification

Zhang, Gavin ; Fattahi, Salar ; Zhang, Richard Y

arXiv.org, 2022-06 [Periódico revisado por pares]

Ithaca: Cornell University Library, arXiv.org

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7
Differentially Private Speaker Anonymization
Differentially Private Speaker Anonymization
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Differentially Private Speaker Anonymization

Ali Shahin Shamsabadi ; Brij Mohan Lal Srivastava ; Bellet, Aurélien ; Vauquier, Nathalie ; Vincent, Emmanuel ; Maouche, Mohamed ; Tommasi, Marc ; Papernot, Nicolas

Proceedings on Privacy Enhancing Technologies, 2023-01, Vol.2023 (1) [Periódico revisado por pares]

Ithaca: Cornell University Library, arXiv.org

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8
Learning to Reconstruct Signals From Binary Measurements
Learning to Reconstruct Signals From Binary Measurements
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Learning to Reconstruct Signals From Binary Measurements

Tachella, Julián ; Laurent, Jacques

arXiv.org, 2023-11 [Periódico revisado por pares]

Ithaca: Cornell University Library, arXiv.org

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9
Bias Mitigation via Compensation: A Reinforcement Learning Perspective
Bias Mitigation via Compensation: A Reinforcement Learning Perspective
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Bias Mitigation via Compensation: A Reinforcement Learning Perspective

Swaminathan, Nandhini ; Danks, David

arXiv.org, 2024-04

Ithaca: Cornell University Library, arXiv.org

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10
Language Models Can Reduce Asymmetry in Information Markets
Language Models Can Reduce Asymmetry in Information Markets
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Language Models Can Reduce Asymmetry in Information Markets

Rahaman, Nasim ; Weiss, Martin ; Wüthrich, Manuel ; Bengio, Yoshua ; Li Erran Li ; Pal, Chris ; Schölkopf, Bernhard

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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