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Peer-reviewed Journals (28)

Result Number	Material Type	Record Details and Options
1	Material Type: Book	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 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	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 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
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$ Material Type: Article	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 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Book	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	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 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Detecting Out-of-Distribution Through the Lens of Neural Collapse 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.2311.01479 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	$Adversarial Schr\"odinger Bridge Matching$ $Adversarial Schr\"odinger Bridge Matching$ Material Type: Article	Adversarial Schr\"odinger Bridge Matching http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.14449 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Generating Less Certain Adversarial Examples Improves Robust Generalization arXiv.org, 2024-05 2024. 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.2310.04539 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Text-Free Multi-domain Graph Pre-training:Toward Graph Foundation Models arXiv.org, 2024-05 2024. 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.2405.13934 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator arXiv.org, 2024-05 2024. 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.2405.07510 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Learning Causal Dynamics Models in Object-Oriented Environments arXiv.org, 2024-05 2024. 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.2405.12615 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by