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Authors and titles for recent submissions, skipping first 192

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Mon, 27 May 2024 (continued, showing 10 of 77 entries)

[193]  arXiv:2405.15676 [pdf, other]
Title: Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems
Authors: Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA)
[194]  arXiv:2405.15670 [pdf, other]
Title: Post-selection inference for quantifying uncertainty in changes in variance
Authors: Rachel Carrington, Paul Fearnhead
Comments: 25 pages, 12 figures, plus 6 pages supplementary material
Subjects: Methodology (stat.ME)
[195]  arXiv:2405.15649 [pdf, other]
Title: Asymptotic Theory for Estimation of the Husler-Reiss Distribution via Block Maxima Method
Authors: Hank Flury, Jan Hannig, Richard Smith
Subjects: Statistics Theory (math.ST)
[196]  arXiv:2405.15643 [pdf, other]
Title: Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning
Authors: Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
Comments: 23 pages, 2 figues
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Analysis of PDEs (math.AP); Numerical Analysis (math.NA); Probability (math.PR)
[197]  arXiv:2405.15641 [pdf, other]
Title: Predictive Uncertainty Quantification with Missing Covariates
Authors: Margaux Zaffran, Julie Josse, Yaniv Romano, Aymeric Dieuleveut
Subjects: Methodology (stat.ME)
[198]  arXiv:2405.15625 [pdf, other]
Title: Nonlinear denoising score matching for enhanced learning of structured distributions
Authors: Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin Zhang, Wei Zhu
Comments: 14 pages, 8 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[199]  arXiv:2405.15600 [pdf, ps, other]
Title: Transfer Learning for Spatial Autoregressive Models
Authors: Hao Zeng, Wei Zhong, Xingbai Xu
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Econometrics (econ.EM); Methodology (stat.ME)
[200]  arXiv:2405.15576 [pdf, other]
Title: Online Changepoint Detection via Dynamic Mode Decomposition
Authors: Victor K. Khamesi, Niall M. Adams, Dean A. Bodenham, Edward A. K. Cohen
Comments: 13 pages, 4 figures, and supplementary (57 pages total)
Subjects: Methodology (stat.ME)
[201]  arXiv:2405.15539 [pdf, other]
Title: A generalized neural tangent kernel for surrogate gradient learning
Authors: Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke
Comments: 52 pages, 3 figures + 2 supplementary figures
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Probability (math.PR); Neurons and Cognition (q-bio.NC)
[202]  arXiv:2405.15531 [pdf, other]
Title: MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
Authors: Yijin Zeng, Niall M. Adams, Dean A. Bodenham
Comments: 13 pages, 3 figures, 1 table, and appendix
Subjects: Methodology (stat.ME)
[ total of 416 entries: 1-10 | ... | 163-172 | 173-182 | 183-192 | 193-202 | 203-212 | 213-222 | 223-232 | ... | 413-416 ]
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