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Total of 202 entries : 1-50 51-100 101-150 151-200 ... 201-202
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Fri, 17 Jan 2025 (showing 24 of 24 entries )

[1] arXiv:2501.09731 [pdf, html, other]
Title: Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
Wenlong Ji, Lihua Lei, Tijana Zrnic
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[2] arXiv:2501.09648 [pdf, html, other]
Title: Statistical inference for interacting innovation processes and related general results
Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[3] arXiv:2501.09483 [pdf, html, other]
Title: Semiparametrics via parametrics and contiguity
Adam Lee, Emil A. Stoltenberg, Per A. Mykland
Subjects: Statistics Theory (math.ST); Econometrics (econ.EM); Methodology (stat.ME)
[4] arXiv:2501.09358 [pdf, html, other]
Title: Grey system model on time scales
Wanli Xie
Subjects: Applications (stat.AP)
[5] arXiv:2501.09336 [pdf, other]
Title: Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
Yuepeng Yang, Cong Ma
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[6] arXiv:2501.09262 [pdf, html, other]
Title: On the convergence of noisy Bayesian Optimization with Expected Improvement
Jingyi Wang, Haowei Wang, Cosmin G. Petra, Nai-Yuan Chiang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[7] arXiv:2501.09196 [pdf, html, other]
Title: Valid post-selection inference for penalized G-estimation with longitudinal observational data
Ajmery Jaman, Ashkan Ertefaie, Michèle Bally, Renée Lévesque, Robert W. Platt, Mireille E. Schnitzer
Subjects: Methodology (stat.ME)
[8] arXiv:2501.09171 [pdf, html, other]
Title: Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini
Monnie McGee, Bivin Sadler
Comments: 24 pages, 2 figures, 3 tables. Submitted for publication August, 2024; revision submitted January 2025
Subjects: Other Statistics (stat.OT); Machine Learning (cs.LG)
[9] arXiv:2501.09156 [pdf, html, other]
Title: Absolute Risk Prediction for Cannabis Use Disorder Using Bayesian Machine Learning
Tingfang Wang, Joseph M. Boden, Swati Biswas, Pankaj K. Choudhary
Subjects: Applications (stat.AP); Machine Learning (stat.ML)
[10] arXiv:2501.09153 [pdf, html, other]
Title: Layered Dirichlet Modeling to Assess the Changing Contributions of MLB Players as they Age
Monnie McGee, Jacob Turner, Bianca Luedeker
Comments: 21 pages, 4 tables, 8 figures, submitted for publication September 2024
Subjects: Methodology (stat.ME)
[11] arXiv:2501.09115 [pdf, html, other]
Title: RAILS: A Synthetic Sampling Weights for Volunteer-Based National Biobanks -- A Case Study with the All of Us Research Program
Huiding Chen, Andrew Guide, Lina Sulieman, Robert M Cronin, Thomas Lumley, Qingxia Chen
Comments: 36 pages, 2 figure2, 4 tables
Subjects: Methodology (stat.ME)
[12] arXiv:2501.09022 [pdf, html, other]
Title: Generative Models with ELBOs Converging to Entropy Sums
Jan Warnken, Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
Comments: 16 Pages
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG); Probability (math.PR); Statistics Theory (math.ST)
[13] arXiv:2501.09691 (cross-list from cs.LG) [pdf, html, other]
Title: A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
Ilias Diakonikolas, Nikos Zarifis
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Statistics Theory (math.ST); Machine Learning (stat.ML)
[14] arXiv:2501.09685 (cross-list from cs.AI) [pdf, html, other]
Title: Reward-Guided Controlled Generation for Inference-Time Alignment in Diffusion Models: Tutorial and Review
Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani
Comments: We plan to add more content/codes. Please let us know if there are any comments
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[15] arXiv:2501.09684 (cross-list from q-bio.NC) [pdf, html, other]
Title: Data mining the functional architecture of the brain's circuitry
Adam S. Charles
Comments: 6 pages, 2 figures
Subjects: Neurons and Cognition (q-bio.NC); Applications (stat.AP)
[16] arXiv:2501.09683 (cross-list from math.FA) [pdf, html, other]
Title: Rough kernel hedging
Nicola Muca Cirone, Cristopher Salvi
Subjects: Functional Analysis (math.FA); Machine Learning (cs.LG); Machine Learning (stat.ML)
[17] arXiv:2501.09500 (cross-list from math.NA) [pdf, html, other]
Title: Lattice Rules Meet Kernel Cubature
Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, Yuya Suzuki
Comments: 15 pages, 2 figures
Subjects: Numerical Analysis (math.NA); Statistics Theory (math.ST)
[18] arXiv:2501.09345 (cross-list from cs.LG) [pdf, html, other]
Title: Rational Tuning of LLM Cascades via Probabilistic Modeling
Michael J. Zellinger, Matt Thomson
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[19] arXiv:2501.09331 (cross-list from cs.LG) [pdf, html, other]
Title: Identifying Information from Observations with Uncertainty and Novelty
Derek S. Prijatelj (1), Timothy J. Ireland (2), Walter J. Scheirer (1) ((1) University of Notre Dame, (2) Independent Researcher)
Comments: 43 pages, 1 figure, 1 table, and 2 inline algorithms. Submitted to JMLR Jan. 6, 2025
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[20] arXiv:2501.09308 (cross-list from cond-mat.mtrl-sci) [pdf, html, other]
Title: Rapid, Comprehensive Search of Crystalline Phases from X-ray Diffraction in Seconds via GPU-Accelerated Bayesian Variational Inference
Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita, Masahiko Demura
Subjects: Materials Science (cond-mat.mtrl-sci); Computational Physics (physics.comp-ph); Applications (stat.AP)
[21] arXiv:2501.09224 (cross-list from physics.med-ph) [pdf, html, other]
Title: Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
Kaiyan Li, Prabhat Kc, Hua Li, Kyle J. Myers, Mark A. Anastasio, Rongping Zeng
Comments: 4 pages
Subjects: Medical Physics (physics.med-ph); Image and Video Processing (eess.IV); Machine Learning (stat.ML)
[22] arXiv:2501.09217 (cross-list from cs.LG) [pdf, html, other]
Title: Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification
Marcell T. Kurbucz, Balázs Hajós, Balázs P. Halmos, Vince Á. Molnár, Antal Jakovác
Comments: 8 pages, 1 figure, 5 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[23] arXiv:2501.09163 (cross-list from cs.LG) [pdf, html, other]
Title: Towards Understanding Extrapolation: a Causal Lens
Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
Comments: NeurIPS 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[24] arXiv:2501.09137 (cross-list from cs.LG) [pdf, other]
Title: Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks
Pierfrancesco Beneventano, Blake Woodworth
Comments: 23 pages, 3 figures
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

Thu, 16 Jan 2025 (showing first 26 of 34 entries )

[25] arXiv:2501.09016 [pdf, html, other]
Title: An Ensemble Information Filter: Retrieving Markov-information from the SPDE discretisation
Berent Ånund Strømnes Lunde
Comments: 25 pages, 10 figures
Subjects: Methodology (stat.ME); Dynamical Systems (math.DS)
[26] arXiv:2501.09015 [pdf, html, other]
Title: Family-wise Error Rate Control with E-values
Will Hartog, Lihua Lei
Comments: 16 pages, 5 figures
Subjects: Methodology (stat.ME)
[27] arXiv:2501.08960 [pdf, other]
Title: A joint spatiotemporal model for multiple longitudinal markers and competing events
Juliette Ortholand, Stanley Durrleman, Sophie Tezenas du Montcel
Subjects: Methodology (stat.ME)
[28] arXiv:2501.08945 [pdf, html, other]
Title: COADVISE: Covariate Adjustment with Variable Selection and Missing Data Imputation in Randomized Controlled Trials
Yi Liu, Ke Zhu, Larry Han, Shu Yang
Subjects: Methodology (stat.ME)
[29] arXiv:2501.08939 [pdf, html, other]
Title: Total positivity and dependence of order statistics
Enrique de Amo, José Juan Quesada-Molina, Manuel Úbeda-Flores
Journal-ref: AIMS Mathematics, volume 8, number 12 (2023), 30717-30730
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[30] arXiv:2501.08886 [pdf, html, other]
Title: Investigating Primary Care Indications to Improve Electronic Health Record in Dementia Target Trial Emulation
Max Sunog, Colin Magdamo, Marie-Laure Charpignon, Mark Albers
Comments: Findings paper presented at Machine Learning for Health (ML4H) symposium 2024, December 15-16, 2024, Vancouver, Canada, 25 pages
Subjects: Applications (stat.AP)
[31] arXiv:2501.08810 [pdf, html, other]
Title: Nonparametric inference for Poisson-Laguerre tessellations
Thomas van der Jagt, Geurt Jongbloed, Martina Vittorietti
Comments: 31 pages, 6 figures
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[32] arXiv:2501.08765 [pdf, other]
Title: Designing and evaluating advanced adaptive randomised clinical trials: a practical guide
Anders Granholm, Aksel Karl Georg Jensen, Theis Lange, Anders Perner, Morten Hylander Møller, Benjamin Skov Kaas-Hansen
Comments: 63 pages (30 without appendices), 5 figures (3 without appendices), 3 tables
Subjects: Methodology (stat.ME)
[33] arXiv:2501.08748 [pdf, html, other]
Title: A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
Paolo Onorati, Antonio Canale
Subjects: Applications (stat.AP); Computation (stat.CO); Methodology (stat.ME)
[34] arXiv:2501.08744 [pdf, other]
Title: Visualisation of multi-indication randomised control trial evidence to support decision-making in oncology: a case study on bevacizumab
Sumayya Anwer, Janharpreet Singh, Sylwia Bujkiewicz, Anne Thomas, Richard Adams, Elizabeth Smyth, Pedro Saramago, Stephen Palmer, Marta O Soares, Sofia Dias
Comments: 22 pages, 6 figures
Subjects: Applications (stat.AP)
[35] arXiv:2501.08673 [pdf, html, other]
Title: A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
Sujeong Lee, Won Chang, Jorge Mateu, Heejin Lee, Jaewoo Park
Subjects: Applications (stat.AP)
[36] arXiv:2501.08551 [pdf, html, other]
Title: A Theory of Optimistically Universal Online Learnability for General Concept Classes
Steve Hanneke, Hongao Wang
Comments: NeurIPS 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[37] arXiv:2501.08492 [pdf, html, other]
Title: Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
Tin Lok James Ng, Kwok-Kun Kwong, Jiakun Liu, Andrew Zammit-Mangion
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[38] arXiv:2501.08477 [pdf, html, other]
Title: On the Asymptotics of Importance Weighted Variational Inference
Badr-Eddine Cherief-Abdellatif, Randal Douc, Arnaud Doucet, Hugo Marival
Comments: 25 pages, 2 figures
Subjects: Statistics Theory (math.ST)
[39] arXiv:2501.08467 [pdf, html, other]
Title: Simultaneous Estimation of Multiple Treatment Effects from Observational Studies
Xiaochuan Shi, Dehan Kong, Linbo Wang
Comments: 25 pages, 7 figures, Journal of Computational and Graphical Statistics
Journal-ref: Journal of Computational and Graphical Statistics, 1-16 (2025)
Subjects: Methodology (stat.ME)
[40] arXiv:2501.08456 [pdf, html, other]
Title: Convergence guarantees for response prediction for latent structure network time series
Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset, Carey E. Priebe
Subjects: Methodology (stat.ME)
[41] arXiv:2501.08448 [pdf, other]
Title: A note on the construction of augmented designs in square arrays
E. R. Williams, H-P. Piepho
Comments: 7 pages
Subjects: Methodology (stat.ME)
[42] arXiv:2501.08423 [pdf, other]
Title: A Constant Velocity Latent Dynamics Approach for Accelerating Simulation of Stiff Nonlinear Systems
William Cole Nockolds, C. G. Krishnanunni, Tan Bui-Thanh
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[43] arXiv:2501.08410 [pdf, html, other]
Title: A Comparative Evaluation of Bayesian Model-Assisted Two-Stage Designs for Phase I/II Clinical Trials
Hao Sun, Jerry Li
Comments: 3 table, no figure
Subjects: Methodology (stat.ME)
[44] arXiv:2501.08392 [pdf, html, other]
Title: Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications
Anna Brandenberger, Elchanan Mossel, Anirudh Sridhar
Comments: 44 pages, 9 figures
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[45] arXiv:2501.08366 [pdf, html, other]
Title: ouladFormat R package: Preparing the Open University Learning Analytics Dataset for analysis
Emma Howard
Subjects: Computation (stat.CO)
[46] arXiv:2501.08979 (cross-list from math.PR) [pdf, html, other]
Title: The Berry-Esseen Bound for High-dimensional Self-normalized Sums
Woonyoung Chang, Kenta Takatsu, Konrad Urban, Arun Kumar Kuchibhotla
Subjects: Probability (math.PR); Statistics Theory (math.ST)
[47] arXiv:2501.08850 (cross-list from cs.LG) [pdf, html, other]
Title: Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen
Comments: Published at Northern Lights Deep Learning Conference 2025
Journal-ref: Proceedings of the 7th Northern Lights Deep Learning Conference (NLDL), PMLR 265, 2025
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[48] arXiv:2501.08786 (cross-list from math.PR) [pdf, html, other]
Title: Differentiability and overlap concentration in optimal Bayesian inference
Hong-Bin Chen (IHES), Victor Issa (ENS de Lyon)
Comments: 17 pages
Subjects: Probability (math.PR); Information Theory (cs.IT); Statistics Theory (math.ST)
[49] arXiv:2501.08779 (cross-list from math.OC) [pdf, html, other]
Title: Nesterov Acceleration for Ensemble Kalman Inversion and Variants
Sydney Vernon, Eviatar Bach, Oliver R. A. Dunbar
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Computation (stat.CO)
[50] arXiv:2501.08745 (cross-list from math.MG) [pdf, html, other]
Title: Is magnitude 'generically continuous' for finite metric spaces?
Hirokazu Katsumasa, Emily Roff, Masahiko Yoshinaga
Comments: 18 pages, 3 figures
Subjects: Metric Geometry (math.MG); Computational Geometry (cs.CG); General Topology (math.GN); Machine Learning (stat.ML)
Total of 202 entries : 1-50 51-100 101-150 151-200 ... 201-202
Showing up to 50 entries per page: fewer | more | all