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1
Optimization with Sparsity-Inducing Penalties
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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2
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

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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3
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

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
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

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
Bug Characterization in Machine Learning-based Systems
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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
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)

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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7
Physics-based Deep Learning
Physics-based Deep Learning
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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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8
Performance of a Markovian neural network versus dynamic programming on a fishing control problem
Performance of a Markovian neural network versus dynamic programming on a fishing control problem
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Performance of a Markovian neural network versus dynamic programming on a fishing control problem

Probability, uncertainty and quantitative risk, 2022 [Peer Reviewed Journal]

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2095-9672 ;EISSN: 2367-0126 ;DOI: 10.48550/arxiv.2109.06856

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9
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

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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10
Toric Geometry of Entropic Regularization
Toric Geometry of Entropic Regularization
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Toric Geometry of Entropic Regularization

arXiv.org, 2022-02 [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.2202.01571

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11
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
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When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

Expert systems with applications, 2020-12 [Peer Reviewed Journal]

2020. 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 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0957-4174 ;EISSN: 2331-8422 ;EISSN: 1873-6793 ;DOI: 10.48550/arxiv.2007.06894

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12
Computationally-efficient initialisation of GPs: The generalised variogram method
Computationally-efficient initialisation of GPs: The generalised variogram method
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Computationally-efficient initialisation of GPs: The generalised variogram method

Transactions on Machine Learning Research Journal, 2023-05, p.1-24 [Peer Reviewed Journal]

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 ;Attribution ;ISSN: 2835-8856 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.05394

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13
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
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Unbalanced Optimal Transport, from Theory to Numerics

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

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.2211.08775

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14
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

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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15
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
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Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.12926

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16
Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
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Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.12756

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17
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling
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SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.12739

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18
Learning Causal Dynamics Models in Object-Oriented Environments
Learning Causal Dynamics Models in Object-Oriented Environments
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Learning Causal Dynamics Models in Object-Oriented Environments

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.12615

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19
Entropic associative memory for real world images
Entropic associative memory for real world images
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Entropic associative memory for real world images

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.12500

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20
Can We Treat Noisy Labels as Accurate?
Can We Treat Noisy Labels as Accurate?
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Can We Treat Noisy Labels as Accurate?

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.12969

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