Search Results - "CELENTANO, MICHAEL" :: K.UTB vyhledávací portál

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Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy

by Celentano, Michael
Year of Publication 19.08.2022

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Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences

by Celentano, Michael
Year of Publication 25.06.2019

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Challenges of the inconsistency regime: Novel debiasing methods for missing data models

by Celentano, Michael, Wainwright, Martin J
Year of Publication 04.09.2023

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Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy

by Celentano, Michael
Published in arXiv.org (19.08.2022)

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CAD: Debiasing the Lasso with inaccurate covariate model

by Celentano, Michael, Montanari, Andrea
Year of Publication 29.07.2021

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SYSTEM AND METHOD FOR DETECTION OF PATIENT'S CONTACT WITH A TEST STRIP USING CAPACITIVE SENSING

by CELENTANO, Michael J
Year of Publication 11.09.2024

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Patent

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Exact and efficient phylodynamic simulation from arbitrarily large populations

by Celentano, Michael, DeWitt, William S, Prillo, Sebastian, Song, Yun S
Year of Publication 26.02.2024

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Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models

by Celentano, Michael, Fan, Zhou, Lin, Licong, Mei, Song
Year of Publication 14.11.2023

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Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test

by Paik, Seunghoon, Celentano, Michael, Green, Alden, Tibshirani, Ryan J
Year of Publication 05.09.2023

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The high-dimensional asymptotics of first order methods with random data

by Celentano, Michael, Cheng, Chen, Montanari, Andrea
Year of Publication 14.12.2021

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System and method for detection of contact with a test strip using capacitive sensing

by Celentano, Michael J
Year of Publication 20.09.2022

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Patent

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SYSTEM AND METHOD FOR DETECTION OF PATIENT'S CONTACT WITH A TEST STRIP USING CAPACITIVE SENSING

by CELENTANO, Michael J
Year of Publication 10.08.2022

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Patent

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Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences

by Celentano, Michael
Published in arXiv.org (25.06.2019)

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Paper

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Local convexity of the TAP free energy and AMP convergence for Z2-synchronization

by Celentano, Michael, Fan, Zhou, Mei, Song
Year of Publication 21.06.2021

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Journal Article

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Challenges of the inconsistency regime: Novel debiasing methods for missing data models

by Celentano, Michael, Wainwright, Martin J
Published in arXiv.org (04.09.2023)

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Paper

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Fundamental Barriers to High-Dimensional Regression with Convex Penalties

by Celentano, Michael, Montanari, Andrea
Published in arXiv.org (07.02.2022)

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Exact and efficient phylodynamic simulation from arbitrarily large populations

by Celentano, Michael, DeWitt, William S, Prillo, Sebastian, Song, Yun S
Published in ArXiv.org (10.08.2024)

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Journal Article

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Minimum complexity interpolation in random features models

by Celentano, Michael, Misiakiewicz, Theodor, Montanari, Andrea
Year of Publication 29.03.2021

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CAD: Debiasing the Lasso with inaccurate covariate model

by Celentano, Michael, Montanari, Andrea
Published in arXiv.org (29.07.2021)

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The Lasso with general Gaussian designs with applications to hypothesis testing

by Celentano, Michael, Montanari, Andrea, Wei, Yuting
Year of Publication 27.07.2020

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