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Authors and titles for recent submissions, skipping first 124

• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024
• Thu, 9 May 2024

Mon, 13 May 2024 (continued, showing last 16 of 32 entries)

[125]  arXiv:2405.06112 [pdf, other]

Title: Bayesian Optimization of Sample Entropy Hyperparameters for Short Time Series

Authors: Zachary Blanks, Donald E. Brown

Subjects: Applications (stat.AP)

[126]  arXiv:2405.06003 [pdf, ps, other]

Title: Binary Hypothesis Testing for Softmax Models and Leverage Score Models

Authors: Yeqi Gao, Yuzhou Gu, Zhao Song

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[127]  arXiv:2405.06627 (cross-list from cs.LG) [pdf, other]

Title: Conformal Validity Guarantees Exist for Any Data Distribution

Authors: Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria

Comments: ICML 2024. Code available at this https URL conformal-mfcs

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[128]  arXiv:2405.06582 (cross-list from cs.LG) [pdf, other]

Title: The Role of Learning Algorithms in Collective Action

Authors: Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Machine Learning (stat.ML)

[129]  arXiv:2405.06575 (cross-list from cs.LG) [pdf, ps, other]

Title: No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization

Authors: Martino Bernasconi, Matteo Castiglioni, Andrea Celli

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[130]  arXiv:2405.06540 (cross-list from astro-ph.SR) [pdf, other]

Title: Separating States in Astronomical Sources Using Hidden Markov Models: With a Case Study of Flaring and Quiescence on EV Lac

Authors: Robert Zimmerman, David A. van Dyk, Vinay L. Kashyap, Aneta Siemiginowska

Comments: 25 pages, 12 figures, 12 tables

Subjects: Solar and Stellar Astrophysics (astro-ph.SR); High Energy Astrophysical Phenomena (astro-ph.HE); Instrumentation and Methods for Astrophysics (astro-ph.IM); Applications (stat.AP); Methodology (stat.ME)

[131]  arXiv:2405.06464 (cross-list from math.NA) [pdf, other]

Title: Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers

Authors: Andraž Jelinčič, James Foster, Patrick Kidger

Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG); Probability (math.PR); Computation (stat.CO)

[132]  arXiv:2405.06418 (cross-list from cs.LG) [pdf, other]

Title: PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning

Authors: Jaejun Lee, Minsung Hwang, Joyce Jiyoung Whang

Comments: Accepted to ICML 2024. This is not the final version of the paper. The camera-ready version will be uploaded soon

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[133]  arXiv:2405.06397 (cross-list from physics.data-an) [pdf, other]

Title: Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them

Authors: Jeremy J.H. Wilkinson, Christopher G. Lester

Subjects: Data Analysis, Statistics and Probability (physics.data-an); High Energy Physics - Experiment (hep-ex); High Energy Physics - Phenomenology (hep-ph); Statistics Theory (math.ST)

[134]  arXiv:2405.06200 (cross-list from math-ph) [pdf, ps, other]

Title: Restricted isometric compression of sparse datasets into low-dimensional varieties

Authors: Vasile Pop, Iuliana Teodorescu, Razvan Teodorescu

Subjects: Mathematical Physics (math-ph); Functional Analysis (math.FA); Optimization and Control (math.OC); Representation Theory (math.RT); Statistics Theory (math.ST)

[135]  arXiv:2405.06167 (cross-list from math-ph) [pdf, ps, other]

Title: Integrability-preserving regularizations of Laplacian Growth

Authors: Razvan Teodorescu

Journal-ref: Math. Model. Nat. Phenom. 15 (2020) 9

Subjects: Mathematical Physics (math-ph); Dynamical Systems (math.DS); Statistics Theory (math.ST)

[136]  arXiv:2405.06136 (cross-list from math.NA) [pdf, ps, other]

Title: Skewness of a randomized quasi-Monte Carlo estimate

Authors: Zexin Pan, Art B. Owen

Subjects: Numerical Analysis (math.NA); Computation (stat.CO)

[137]  arXiv:2405.06107 (cross-list from cs.LG) [pdf, other]

Title: Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory

Authors: Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon

Comments: 26+10 pages, 9 figures, 7 tables, application of machine learning aimed at physics and machine learning audience

Subjects: Machine Learning (cs.LG); Symbolic Computation (cs.SC); High Energy Physics - Phenomenology (hep-ph); High Energy Physics - Theory (hep-th); Machine Learning (stat.ML)

[138]  arXiv:2405.06068 (cross-list from cs.LG) [pdf, other]

Title: Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes

Authors: Yuqi Su, Xiaolei Fang

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Applications (stat.AP); Machine Learning (stat.ML)

[139]  arXiv:2405.06013 (cross-list from astro-ph.IM) [pdf, other]

Title: Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN

Authors: Ana Sofía M. Uzsoy, Stephen Thorp, Matthew Grayling, Kaisey S. Mandel

Comments: 14 pages, 7 figures, 1 table

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Cosmology and Nongalactic Astrophysics (astro-ph.CO); Applications (stat.AP); Methodology (stat.ME)

[140]  arXiv:2405.06008 (cross-list from cs.LG) [pdf, other]

Title: Wilsonian Renormalization of Neural Network Gaussian Processes

Authors: Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel

Comments: 24 pages, 1 figure

Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); High Energy Physics - Theory (hep-th); Machine Learning (stat.ML)

Fri, 10 May 2024 (showing first 9 of 38 entries)

[141]  arXiv:2405.05909 [pdf, other]

Title: Multilevel Regression and Poststratification Interface: Application to Track Community-level COVID-19 Viral Transmission

Authors: Yajuan Si, Toan Tran, Jonah Gabry, Mitzi Morris, Andrew Gelman

Subjects: Applications (stat.AP)

[142]  arXiv:2405.05868 [pdf, other]

Title: Trustworthy Dimensionality Reduction

Authors: Subhrajyoty Roy

Comments: This is a dissertation report presented for the completion of the degree of Master of Statistics (M. Stat.) of the author from Indian Statistical Institute

Subjects: Methodology (stat.ME)

[143]  arXiv:2405.05781 [pdf, other]

Title: Nonparametric estimation of a future entry time distribution given the knowledge of a past state occupation in a progressive multistate model with current status data

Authors: Samuel Anyaso-Samuel, Somnath Datta

Comments: 19 pages, 5 tables, 4 figures

Subjects: Methodology (stat.ME)

[144]  arXiv:2405.05773 [pdf, other]

Title: Parametric Analysis of Bivariate Current Status data with Competing risks using Frailty model

Authors: Biswadeep Ghosh, Anup Dewanji, Sudipta Das

Subjects: Methodology (stat.ME); Applications (stat.AP)

[145]  arXiv:2405.05733 [pdf, other]

Title: Batched Stochastic Bandit for Nondegenerate Functions

Authors: Yu Liu, Yunlu Shu, Tianyu Wang

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[146]  arXiv:2405.05730 [pdf, other]

Title: Change point localisation and inference in fragmented functional data

Authors: Gengyu Xue, Haotian Xu, Yi Yu

Subjects: Methodology (stat.ME)

[147]  arXiv:2405.05679 [pdf, other]

Title: Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms

Authors: Ariel Neufeld, Ying Zhang

Subjects: Statistics Theory (math.ST); Probability (math.PR); Computation (stat.CO); Machine Learning (stat.ML)

[148]  arXiv:2405.05656 [pdf, ps, other]

Title: Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response

Authors: Eitan Greenshtein

Comments: 17 pages

Subjects: Statistics Theory (math.ST); Methodology (stat.ME)

[149]  arXiv:2405.05646 [pdf, other]

Title: Outlier-robust Kalman Filtering through Generalised Bayes

Authors: Gerardo Duran-Martin, Matias Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy

Comments: 41st International Conference on Machine Learning (ICML 2024)

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Systems and Control (eess.SY)

• Wed, 15 May 2024
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• Mon, 13 May 2024
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• Thu, 9 May 2024