Statistics

Authors and titles for recent submissions, skipping first 30

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024

Tue, 11 Jun 2024 (continued, showing 25 of 76 entries)

[31]  arXiv:2406.05320 [pdf, other]

Title: Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

Authors: Hao Liu, Jiahui Cheng, Wenjing Liao

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

[32]  arXiv:2406.05304 [pdf, other]

Title: Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys

Authors: Joshua B. Gilbert, Lijin Zhang, Esther Ulitzsch, Benjamin W. Domingue

Subjects: Methodology (stat.ME)

[33]  arXiv:2406.05264 [pdf, other]

Title: "Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity

Authors: William H. Press

Comments: 35 pages, 17 figures, 6 tables

Subjects: Applications (stat.AP); Cryptography and Security (cs.CR); Computers and Society (cs.CY); Methodology (stat.ME)

[34]  arXiv:2406.05262 [pdf, other]

Title: A Three-groups Non-local Model for Combining Heterogeneous Data Sources to Identify Genes Associated with Parkinson's Disease

Authors: Troy P. Wixson, Benjamin A. Shaby, Daisy L. Philtron, International Parkinson Disease Genomics Consortium, Leandro A. Lima, Stacia K. Wyman, Julia A. Kaye, Steven Finkbeiner

Comments: 26 pages, 6 figures, 4 tables

Subjects: Applications (stat.AP)

[35]  arXiv:2406.05260 [pdf, other]

Title: Generative modeling of density regression through tree flows

Authors: Zhuoqun Wang, Naoki Awaya, Li Ma

Comments: 24 pages, 9 figures

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

[36]  arXiv:2406.05242 [pdf, other]

Title: Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach

Authors: Wei Yuan, Guanyang Wang

Comments: 57 pages, 9 figures, 2 tables

Subjects: Computation (stat.CO); Methodology (stat.ME); Machine Learning (stat.ML)

[37]  arXiv:2406.05193 [pdf, ps, other]

Title: Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers

Authors: Yizhen Xu, Scott Zeger, Zheyu Wang

Subjects: Methodology (stat.ME); Computation (stat.CO)

[38]  arXiv:2406.05189 [pdf, other]

Title: Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients

Authors: Jorden Lam, Kunpeng Xu

Subjects: Applications (stat.AP); Artificial Intelligence (cs.AI)

[39]  arXiv:2406.05188 [pdf, other]

Title: Numerically robust square root implementations of statistical linear regression filters and smoothers

Authors: Filip Tronarp

Subjects: Methodology (stat.ME); Numerical Analysis (math.NA)

[40]  arXiv:2406.06514 (cross-list from cs.LG) [pdf, other]

Title: Random Features Approximation for Control-Affine Systems

Authors: Kimia Kazemian, Yahya Sattar, Sarah Dean

Comments: 25 pages, 3 figures

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

[41]  arXiv:2406.06509 (cross-list from cs.LG) [pdf, ps, other]

Title: Robust Distribution Learning with Local and Global Adversarial Corruptions

Authors: Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

Comments: Accepted for presentation at the Conference on Learning Theory (COLT) 2024

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

[42]  arXiv:2406.06506 (cross-list from math.OC) [pdf, ps, other]

Title: Online Newton Method for Bandit Convex Optimisation

Authors: Hidde Fokkema, Dirk van der Hoeven, Tor Lattimore, Jack J. Mayo

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)

[43]  arXiv:2406.06470 (cross-list from cs.LG) [pdf, other]

Title: GKAN: Graph Kolmogorov-Arnold Networks

Authors: Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari

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

[44]  arXiv:2406.06467 (cross-list from cs.LG) [pdf, other]

Title: How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad

Authors: Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi

Comments: 38 pages, 11 figures

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

[45]  arXiv:2406.06419 (cross-list from cs.LG) [pdf, other]

Title: Foundation Inference Models for Markov Jump Processes

Authors: David Berghaus, Kostadin Cvejoski, Patrick Seifner, Cesar Ojeda, Ramses J. Sanchez

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

[46]  arXiv:2406.06348 (cross-list from cs.LG) [pdf, other]

Title: Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning

Authors: Ashka Shah, Adela DePavia, Nathaniel Hudson, Ian Foster, Rick Stevens

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Methodology (stat.ME)

[47]  arXiv:2406.06306 (cross-list from eess.SP) [pdf, other]

Title: Unified Fourier bases for GSP on stochastic block model graphs

Authors: Mahya Ghandehari, Jeannette Janssen, Silo Murphy

Comments: 23 pages

Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Statistics Theory (math.ST)

[48]  arXiv:2406.06227 (cross-list from cs.LG) [pdf, other]

Title: PAC-Bayes Analysis for Recalibration in Classification

Authors: Masahiro Fujisawa, Futoshi Futami

Comments: 27 pages, 3 figures

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

[49]  arXiv:2406.06213 (cross-list from cs.LG) [pdf, ps, other]

Title: A Statistical Theory of Regularization-Based Continual Learning

Authors: Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

Comments: Accepted by ICML 2024

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

[50]  arXiv:2406.06158 (cross-list from cs.LG) [pdf, other]

Title: Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Authors: Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

Comments: 40 pages, 12 figures

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

[51]  arXiv:2406.06149 (cross-list from cs.LG) [pdf, other]

Title: Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations

Authors: Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim

Comments: 18 pages, 8 figures, The Twelfth International Conference on Learning Representations (ICLR 2024)

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

[52]  arXiv:2406.06101 (cross-list from cs.LG) [pdf, ps, other]

Title: On the Consistency of Kernel Methods with Dependent Observations

Authors: Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow

Comments: 26 pages, 1 figure

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

[53]  arXiv:2406.05993 (cross-list from cs.LG) [pdf, other]

Title: Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning

Authors: Takayuki Osa, Tatsuya Harada

Comments: ICML 2024, 21 pages

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

[54]  arXiv:2406.05937 (cross-list from cs.LG) [pdf, other]

Title: Linear Causal Representation Learning from Unknown Multi-node Interventions

Authors: Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer

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

[55]  arXiv:2406.05883 (cross-list from cs.LG) [pdf, other]

Title: Information Theoretic Guarantees For Policy Alignment In Large Language Models

Authors: Youssef Mroueh

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

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024