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1
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
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Article
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

arXiv.org, 2022-01 [Peer Reviewed Journal]

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2109.04024

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2
Optimization with Sparsity-Inducing Penalties
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Optimization with Sparsity-Inducing Penalties

Foundations and trends in machine learning, 2012 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000015

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3
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
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Article
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Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2106.04911

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

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2201.11411

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5
Bug Characterization in Machine Learning-based Systems
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Article
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Bug Characterization in Machine Learning-based Systems

arXiv.org, 2023-07 [Peer Reviewed Journal]

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.14512

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6
Mining gold from implicit models to improve likelihood-free inference
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Article
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Mining gold from implicit models to improve likelihood-free inference

Proceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (10), p.5242-5249 [Peer Reviewed Journal]

Copyright National Academy of Sciences Mar 10, 2020 ;2020 ;ISSN: 0027-8424 ;ISSN: 1091-6490 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915980117 ;PMID: 32079725

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7
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
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Article
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Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification

arXiv.org, 2022-06 [Peer Reviewed Journal]

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2206.03345

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8
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
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Book Chapter
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The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;ISBN: 9783030676575 ;EISBN: 9783030676582 ;DOI: 10.48550/arxiv.2105.03841

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9
Differentially Private Speaker Anonymization
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Article
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Differentially Private Speaker Anonymization

arXiv.org, 2023-01 [Peer Reviewed Journal]

2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2202.11823

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10
Learning to Reconstruct Signals From Binary Measurements
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Article
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Learning to Reconstruct Signals From Binary Measurements

arXiv.org, 2023-11 [Peer Reviewed Journal]

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.08691

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11
Physics-based Deep Learning
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Book
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Physics-based Deep Learning

arXiv.org, 2021

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2109.05237

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12
Bias Mitigation via Compensation: A Reinforcement Learning Perspective
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Article
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Bias Mitigation via Compensation: A Reinforcement Learning Perspective

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.19256

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13
Language Models Can Reduce Asymmetry in Information Markets
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Article
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Language Models Can Reduce Asymmetry in Information Markets

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.14443

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14
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers
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Article
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From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.19787

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15
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
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Article
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Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2404.10271

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16
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
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Article
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Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models

arXiv.org, 2023-09

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2309.06375

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17
VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search
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Article
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VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2402.08147

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18
An Information-Flow Perspective on Algorithmic Fairness
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Article
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An Information-Flow Perspective on Algorithmic Fairness

arXiv.org, 2023-12

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.10128

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19
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
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Article
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Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction

arXiv.org, 2023-10

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.01439

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20
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
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Article
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The complexity of approximate (coarse) correlated equilibrium for incomplete information games

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2406.02357

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