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Authors and titles for recent submissions, skipping first 92

[ total of 210 entries: 1-50 | 43-92 | 93-142 | 143-192 | 193-210 ]
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Tue, 14 May 2024 (continued, showing last 16 of 72 entries)

[93]  arXiv:2405.07473 (cross-list from cs.LG) [pdf, other]
Title: Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
Authors: Theodore Jerome Tinker, Kenji Doya, Jun Tani
Comments: 54 pages, 11 figures, to be published in Neural Computation
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[94]  arXiv:2405.07374 (cross-list from cs.LG) [pdf, other]
Title: Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Authors: Shi-ang Qi, Yakun Yu, Russell Greiner
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[95]  arXiv:2405.07359 (cross-list from cs.LG) [pdf, other]
Title: Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Authors: Antonio Malpica-Morales, Miguel A. Duran-Olivencia, Serafim Kalliadasis
Comments: 26 pages, 7 figures
Journal-ref: Chaos, 34, 043105 (2024)
Subjects: Machine Learning (cs.LG); Dynamical Systems (math.DS); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)
[96]  arXiv:2405.07343 (cross-list from eess.SY) [pdf, other]
Title: Graph neural networks for power grid operational risk assessment under evolving grid topology
Authors: Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
Comments: Manuscript submitted to Applied Energy
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Methodology (stat.ME)
[97]  arXiv:2405.07331 (cross-list from cs.LG) [pdf, other]
Title: Stochastic Bandits with ReLU Neural Networks
Authors: Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)
[98]  arXiv:2405.07292 (cross-list from econ.EM) [pdf, other]
Title: Kernel Three Pass Regression Filter
Authors: Rajveer Jat, Daanish Padha
Comments: Keywords: Forecasting, High dimension, Approximate factor model, Reproducing Kernel Hilbert space, Three-pass regression filter
Subjects: Econometrics (econ.EM); Statistical Finance (q-fin.ST); Methodology (stat.ME)
[99]  arXiv:2405.07220 (cross-list from cs.LG) [pdf, other]
Title: On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
Authors: Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
Comments: Conference on Causal Learning and Reasoning (CLeaR), 2023
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[100]  arXiv:2405.07098 (cross-list from cs.LG) [pdf, other]
Title: Interpretable global minima of deep ReLU neural networks on sequentially separable data
Authors: Thomas Chen, Patricia Muñoz Ewald
Comments: AMS Latex, 22 pages, 3 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Mathematical Physics (math-ph); Optimization and Control (math.OC); Machine Learning (stat.ML)
[101]  arXiv:2405.07038 (cross-list from cs.GT) [pdf, other]
Title: Conformal Online Auction Design
Authors: Jiale Han, Xiaowu Dai
Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Machine Learning (stat.ML)
[102]  arXiv:2405.07020 (cross-list from cs.LG) [pdf, other]
Title: Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy
Authors: Soner Aydin, Sinan Yildirim
Comments: Code for experiments available at this https URL
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)
[103]  arXiv:2405.06992 (cross-list from cs.LG) [pdf, ps, other]
Title: ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks
Authors: Wankang Zhai
Comments: 7pages, 7figures
Subjects: Machine Learning (cs.LG); Applications (stat.AP)
[104]  arXiv:2405.06902 (cross-list from cs.LG) [pdf, ps, other]
Title: Causal Inference from Slowly Varying Nonstationary Processes
Authors: Kang Du, Yu Xiang
Comments: Accepted to the IEEE Transactions on Signal and Information Processing over Networks. arXiv admin note: substantial text overlap with arXiv:2012.13025
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[105]  arXiv:2405.06851 (cross-list from q-bio.NC) [pdf, other]
Title: Nonlinear classification of neural manifolds with contextual information
Authors: Francesca Mignacco, Chi-Ning Chou, SueYeon Chung
Comments: 5 pages, 5 figures
Subjects: Neurons and Cognition (q-bio.NC); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[106]  arXiv:2405.06848 (cross-list from cs.LG) [pdf, other]
Title: ISR: Invertible Symbolic Regression
Authors: Tony Tohme, Mohammad Javad Khojasteh, Mohsen Sadr, Florian Meyer, Kamal Youcef-Toumi
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (stat.ML)
[107]  arXiv:2405.06779 (cross-list from econ.EM) [pdf, other]
Title: Generalization Problems in Experiments Involving Multidimensional Decisions
Authors: Jiawei Fu, Xiaojun Li
Subjects: Econometrics (econ.EM); Applications (stat.AP)
[108]  arXiv:2405.06774 (cross-list from q-fin.RM) [pdf, ps, other]
Title: Hedging American Put Options with Deep Reinforcement Learning
Authors: Reilly Pickard, Finn Wredenhagen, Julio DeJesus, Mario Schlener, Yuri Lawryshyn
Subjects: Risk Management (q-fin.RM); Machine Learning (cs.LG); Machine Learning (stat.ML)

Mon, 13 May 2024

[109]  arXiv:2405.06635 [pdf, ps, other]
Title: Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes
Authors: Ali Sadeghkhani, Abdolnasser Sadeghkhani
Subjects: Methodology (stat.ME)
[110]  arXiv:2405.06613 [pdf, other]
Title: Simultaneously detecting spatiotemporal changes with penalized Poisson regression models
Authors: Zerui Zhang, Xin Wang, Xin Zhang, Jing Zhang
Subjects: Methodology (stat.ME)
[111]  arXiv:2405.06559 [pdf, other]
Title: The landscapemetrics and motif packages for measuring landscape patterns and processes
Authors: Jakub Nowosad, Maximilian H.K. Hesselbarth
Subjects: Methodology (stat.ME); Applications (stat.AP)
[112]  arXiv:2405.06558 [pdf, ps, other]
Title: Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Authors: Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP); Methodology (stat.ME)
[113]  arXiv:2405.06549 [pdf, ps, other]
Title: Sampling the Swadesh List to Identify Similar Languages with Tree Spaces
Authors: Garett Ordway, Vic Patrangenaru
Comments: 19 pages, 26 figures
Subjects: Applications (stat.AP); Computation and Language (cs.CL)
[114]  arXiv:2405.06546 [pdf, other]
Title: Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime
Authors: Kuo-Wei Lai, Vidya Muthukumar
Comments: A short version of this work will be presented at IEEE ISIT 2024
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)
[115]  arXiv:2405.06479 [pdf, other]
Title: Informativeness of Weighted Conformal Prediction
Authors: Mufang Ying, Wenge Guo, Koulik Khamaru, Ying Hung
Comments: 25 pages
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[116]  arXiv:2405.06477 [pdf, ps, other]
Title: Asymptotic Normality of $U$-Statistics is Equivalent to Convergence in the Wasserstein Distance
Authors: Marius Kroll
Subjects: Statistics Theory (math.ST)
[117]  arXiv:2405.06437 [pdf, ps, other]
Title: Generalized van Trees inequality: Local minimax bounds for non-smooth functionals and irregular statistical models
Authors: Kenta Takatsu, Arun Kumar Kuchibhotla
Subjects: Statistics Theory (math.ST)
[118]  arXiv:2405.06428 [pdf, other]
Title: Weighted past and paired dynamic varentropy measures, their properties and usefulness
Authors: Shital Saha, Suchandan Kayal
Subjects: Statistics Theory (math.ST)
[119]  arXiv:2405.06415 [pdf, other]
Title: Generalization analysis with deep ReLU networks for metric and similarity learning
Authors: Junyu Zhou, Puyu Wang, Ding-Xuan Zhou
Comments: 15 pages, 1 figure
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[120]  arXiv:2405.06405 [pdf, other]
Title: Inferring Skin-Brain-Skin Connections from Infodemiology Data using Dynamic Bayesian Networks
Authors: Marco Scutari, Delphine Kerob, Samir Salah
Comments: 14 pages, 3 figures
Journal-ref: Scientific Reports (2024), 14, 10266
Subjects: Applications (stat.AP)
[121]  arXiv:2405.06366 [pdf, other]
Title: Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches
Authors: Stefano Rinaldi
Comments: 12 pages, 6 figures, 1 table
Subjects: Methodology (stat.ME); Instrumentation and Methods for Astrophysics (astro-ph.IM); General Relativity and Quantum Cosmology (gr-qc)
[122]  arXiv:2405.06353 [pdf, ps, other]
Title: Next generation clinical trials: Seamless designs and master protocols
Authors: Abigail Burdon, Thomas Jaki, Xijin Chen, Pavel Mozgunov, Haiyan Zheng, Richard Baird
Comments: 12 manuscript pages, 2 figures and 2 tables
Subjects: Methodology (stat.ME)
[123]  arXiv:2405.06335 [pdf, other]
Title: Bayesian factor zero-inflated Poisson model for multiple grouped count data
Authors: Genya Kobayashi, Yuta Yamauchi
Subjects: Methodology (stat.ME)
[124]  arXiv:2405.06135 [pdf, other]
Title: Local Longitudinal Modified Treatment Policies
Authors: Herbert Susmann, Iván Díaz
Comments: 28 pages, 1 figure
Subjects: Methodology (stat.ME)
[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 2 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)
[ total of 210 entries: 1-50 | 43-92 | 93-142 | 143-192 | 193-210 ]
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