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Authors and titles for recent submissions

[ total of 214 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 201-214 ]
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Thu, 2 May 2024 (showing first 25 of 37 entries)

[1]  arXiv:2405.00642 [pdf, other]
Title: From Empirical Observations to Universality: Dynamics of Deep Learning with Inputs Built on Gaussian mixture
Authors: Jaeyong Bae, Hawoong Jeong
Comments: 19 pages, 9 figures
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG)
[2]  arXiv:2405.00626 [pdf, other]
Title: SARMA: Scalable Low-Rank High-Dimensional Autoregressive Moving Averages via Tensor Decomposition
Authors: Feiqing Huang, Kexin Li, Yao Zheng
Subjects: Methodology (stat.ME)
[3]  arXiv:2405.00619 [pdf, other]
Title: One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics
Authors: Claire Donnat, Olga Klopp, Nicolas Verzelen
Subjects: Methodology (stat.ME)
[4]  arXiv:2405.00592 [pdf, other]
Title: Scaling and renormalization in high-dimensional regression
Authors: Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Comments: 64 pages, 16 figures
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)
[5]  arXiv:2405.00582 [pdf, ps, other]
Title: Implementing Bayesian inference on a stochastic CO2-based grey-box model for assessing indoor air quality in Canadian primary schools
Authors: Shujie Yan, Jiwei Zou, Chang Shu, Justin Berquist, Vincent Brochu, Marc Veillette, Danlin Hou, Caroline Duchaine, Liang (Grace) Zhou, Zhiqiang (John) Zhai, Liangzhu (Leon) Wang
Subjects: Applications (stat.AP)
[6]  arXiv:2405.00581 [pdf, other]
Title: Conformalized Tensor Completion with Riemannian Optimization
Authors: Hu Sun, Yang Chen
Subjects: Methodology (stat.ME); Computation (stat.CO)
[7]  arXiv:2405.00535 [pdf, other]
Title: Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury
Authors: Yangfan Ren, Nathan Osborne, Christine B. Peterson, Dana M. DeMaster, Linda Ewing-Cobbs, Marina Vannucci
Subjects: Methodology (stat.ME)
[8]  arXiv:2405.00442 [pdf, other]
Title: Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
Authors: Masanari Kimura, Hiroki Naganuma
Comments: This paper is under consideration at Pattern Recognition Letters
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[9]  arXiv:2405.00397 [pdf, other]
Title: Posterior exploration for computationally intensive forward models
Authors: Mikkel B. Lykkegaard, Colin Fox, Dave Higdon, C. Shane Reese, J. David Moulton
Comments: To appear in the Handbook of Markov Chain Monte Carlo (2nd edition)
Subjects: Computation (stat.CO)
[10]  arXiv:2405.00385 [pdf, other]
Title: Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians
Authors: Yuta Nakahara
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)
[11]  arXiv:2405.00364 [pdf, other]
Title: Object detection under the linear subspace model with application to cryo-EM images
Authors: Amitay Eldar, Keren Mor Waknin, Samuel Davenport, Tamir Bendory, Armin Schwartzman, Yoel Shkolnisky
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[12]  arXiv:2405.00294 [pdf, other]
Title: Conformal inference for random objects
Authors: Hang Zhou, Hans-Georg Müller
Subjects: Methodology (stat.ME)
[13]  arXiv:2405.00188 [pdf, other]
Title: A Revisit of the Optimal Excess-of-Loss Contract
Authors: Ernest Aboagye, Vali Asimit, Tsz Chai Fung, Liang Peng, Qiuqi Wang
Subjects: Applications (stat.AP); Theoretical Economics (econ.TH)
[14]  arXiv:2405.00185 [pdf, ps, other]
Title: Finite-sample adjustments for comparing clustered adaptive interventions using data from a clustered SMART
Authors: Wenchu Pan, Daniel Almirall, Amy M. Kilbourne, Andrew Quanbeck, Lu Wang
Subjects: Methodology (stat.ME)
[15]  arXiv:2405.00179 [pdf, other]
Title: A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
Authors: Madeline R. Abbott, Walter H. Dempsey, Inbal Nahum-Shani, Lindsey N. Potter, David W. Wetter, Cho Y. Lam, Jeremy M.G. Taylor
Comments: Main text is 32 pages with 6 figures. Supplementary material is 21 pages
Subjects: Methodology (stat.ME)
[16]  arXiv:2405.00158 [pdf, other]
Title: BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python
Authors: Nathaniel Haines, Conor Goold
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)
[17]  arXiv:2405.00118 [pdf, other]
Title: Causal Inference with High-dimensional Discrete Covariates
Authors: Zhenghao Zeng, Sivaraman Balakrishnan, Yanjun Han, Edward H. Kennedy
Comments: 64 pages, 5 figures
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[18]  arXiv:2405.00675 (cross-list from cs.LG) [pdf, other]
Title: Self-Play Preference Optimization for Language Model Alignment
Authors: Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
Comments: 25 pages, 4 figures, 5 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[19]  arXiv:2405.00669 (cross-list from astro-ph.CO) [pdf, other]
Title: Euclid preparation. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling
Authors: Euclid Collaboration: G. Congedo (1), L. Miller (2), A. N. Taylor (1), N. Cross (1), C. A. J. Duncan (3 and 2), T. Kitching (4), N. Martinet (5), S. Matthew (1), T. Schrabback (6), M. Tewes (7), N. Welikala (1), N. Aghanim (8), A. Amara (9), S. Andreon (10), N. Auricchio (11), M. Baldi (12 and 11 and 13), S. Bardelli (11), R. Bender (14 and 15), C. Bodendorf (14), D. Bonino (16), E. Branchini (17 and 18 and 10), M. Brescia (19 and 20 and 21), J. Brinchmann (22), S. Camera (23 and 24 and 16), V. Capobianco (16), C. Carbone (25), V. F. Cardone (26 and 27), J. Carretero (28 and 29), S. Casas (30), F. J. Castander (31 and 32), M. Castellano (26), S. Cavuoti (20 and 21), A. Cimatti (33), C. J. Conselice (3), L. Conversi (34 and 35), Y. Copin (36), F. Courbin (37), H. M. Courtois (38), M. Cropper (4), et al. (202 additional authors not shown)
Comments: 28 pages, 18 figures, 2 tables
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)
[20]  arXiv:2405.00576 (cross-list from q-fin.RM) [pdf, other]
Title: Calibration of the rating transition model for high and low default portfolios
Authors: Jian He, Asma Khedher, Peter Spreij
Subjects: Risk Management (q-fin.RM); Methodology (stat.ME)
[21]  arXiv:2405.00489 (cross-list from cs.LG) [pdf, other]
Title: Explainable Automatic Grading with Neural Additive Models
Authors: Aubrey Condor, Zachary Pardos
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Applications (stat.AP)
[22]  arXiv:2405.00454 (cross-list from cs.LG) [pdf, ps, other]
Title: Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
Authors: Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad-Hossein Yassaee
Comments: Accepted in ISIT 2024
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Machine Learning (stat.ML)
[23]  arXiv:2405.00424 (cross-list from econ.EM) [pdf, other]
Title: Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution
Authors: Zhaoxing Gao
Comments: 53 pages, 10 figures
Subjects: Econometrics (econ.EM); Methodology (stat.ME); Machine Learning (stat.ML)
[24]  arXiv:2405.00417 (cross-list from cs.LG) [pdf, other]
Title: Conformal Risk Control for Ordinal Classification
Authors: Yunpeng Xu, Wenge Guo, Zhi Wei
Comments: 17 pages, 8 figures, 2 table; 1 supplementary page
Journal-ref: In UAI 2023: The 39th Conference on Uncertainty in Artificial Intelligence
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[25]  arXiv:2405.00366 (cross-list from cs.ET) [pdf, ps, other]
Title: L0-regularized compressed sensing with Mean-field Coherent Ising Machines
Authors: Mastiyage Don Sudeera Hasaranga Gunathilaka, Yoshitaka Inui, Satoshi Kako, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto, Toru Aonishi
Comments: 19 pages, 7 figures
Subjects: Emerging Technologies (cs.ET); Quantum Physics (quant-ph); Applications (stat.AP); Computation (stat.CO)
[ total of 214 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 201-214 ]
[ showing 25 entries per page: fewer | more | all ]

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