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Statistics Theory

Authors and titles for recent submissions, skipping first 34

[ total of 69 entries: 1-10 | 5-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-69 ]
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Mon, 27 May 2024 (continued, showing last 4 of 11 entries)

[35]  arXiv:2405.15294 (cross-list from stat.ML) [pdf, ps, other]
Title: Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Comments: Accepted at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS) 2024
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[36]  arXiv:2405.15132 (cross-list from stat.ML) [pdf, other]
Title: Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO); Methodology (stat.ME)
[37]  arXiv:2405.15107 (cross-list from stat.ML) [pdf, ps, other]
Title: Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[38]  arXiv:2405.15074 (cross-list from stat.ML) [pdf, other]
Title: 4+3 Phases of Compute-Optimal Neural Scaling Laws
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Probability (math.PR); Statistics Theory (math.ST)

Fri, 24 May 2024 (showing first 6 of 25 entries)

[39]  arXiv:2405.14494 [pdf, other]
Title: Entrywise error bounds for low-rank approximations of kernel matrices
Authors: Alexander Modell
Comments: 28 pages, 3 figures
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG)
[40]  arXiv:2405.14482 [pdf, other]
Title: Quantifying Multivariate Graph Dependencies: Theory and Estimation for Multiplex Graphs
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Combinatorics (math.CO); Probability (math.PR)
[41]  arXiv:2405.13940 [pdf, other]
Title: High-dimensional (Group) Adversarial Training in Linear Regression
Subjects: Statistics Theory (math.ST)
[42]  arXiv:2405.13912 [pdf, other]
Title: Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Machine Learning (cs.LG); Probability (math.PR); Machine Learning (stat.ML)
[43]  arXiv:2405.13690 [pdf, other]
Title: The effect of regularization in high dimensional Cox regression
Authors: Emanuele Massa
Subjects: Statistics Theory (math.ST); Disordered Systems and Neural Networks (cond-mat.dis-nn)
[44]  arXiv:2405.13531 [pdf, other]
Title: A stereographic test of spherical uniformity
Comments: 12 pages, 5 figures, 1 table
Subjects: Statistics Theory (math.ST)
[ total of 69 entries: 1-10 | 5-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-69 ]
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