Machine Learning

Authors and titles for January 2025

[1] arXiv:2501.00119 [pdf, html, other]

Title: Post Launch Evaluation of Policies in a High-Dimensional Setting

Shima Nassiri, Mohsen Bayati, Joe Cooprider

Comments: 15 pages, 2 figures, 6 tables

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)

[2] arXiv:2501.00277 [pdf, html, other]

Title: Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems

Yiran Huang, Jian-Feng Yang, Haoda Fu

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

[3] arXiv:2501.00632 [pdf, html, other]

Title: Different thresholding methods on Nearest Shrunken Centroid algorithm

Mohammad Omar Sahtout, Haiyan Wang, Santosh Ghimire

Comments: 30 pages 9 figures

Journal-ref: Communications in Statistics - Simulation and Computation, 53(3), 1444-1460 (2022)

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

[4] arXiv:2501.00744 [pdf, html, other]

Title: A Distributional Evaluation of Generative Image Models

Edric Tam, Barbara E Engelhardt

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

[5] arXiv:2501.00754 [pdf, html, other]

Title: Ensuring superior learning outcomes and data security for authorized learner

Jeongho Bang, Wooyeong Song, Kyujin Shin, Yong-Su Kim

Comments: 17 pages, 7 figures, comments welcome

Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Quantum Physics (quant-ph)

[6] arXiv:2501.00755 [pdf, html, other]

Title: An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Qiao Liu, Wing Hung Wong

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

[7] arXiv:2501.00967 [pdf, other]

Title: On the Implementation of a Bayesian Optimization Framework for Interconnected Systems

Leonardo D. González, Victor M. Zavala

Comments: 32 pages, 12 figures

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

[8] arXiv:2501.01312 [pdf, other]

Title: Learning Spectral Methods by Transformers

Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu

Comments: 77 pages, 12 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)

[9] arXiv:2501.01414 [pdf, html, other]

Title: Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers

Seunghyun Lee, Yuqi Gu

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

[10] arXiv:2501.01696 [pdf, other]

Title: Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent

Tong Wu

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

[11] arXiv:2501.01825 [pdf, html, other]

Title: Unified Native Spaces in Kernel Methods

Xavier Emery, Emilio Porcu, Moreno Bevilacqua

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

[12] arXiv:2501.01840 [pdf, html, other]

Title: Signal Recovery Using a Spiked Mixture Model

Paul-Louis Delacour, Sander Wahls, Jeffrey M. Spraggins, Lukasz Migas, Raf Van de Plas

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

[13] arXiv:2501.02043 [pdf, html, other]

Title: Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks

Petr Kisselev, Padmanabhan Seshaiyer

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Dynamical Systems (math.DS); Populations and Evolution (q-bio.PE)

[14] arXiv:2501.02197 [pdf, html, other]

Title: Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso

Jianmin Chen, Kun Chen

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

[15] arXiv:2501.02208 [pdf, html, other]

Title: Robust Multi-Dimensional Scaling via Accelerated Alternating Projections

Tong Deng, Tianming Wang

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

[16] arXiv:2501.02298 [pdf, html, other]

Title: Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance

Marta Gentiloni-Silveri, Antonio Ocello

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

[17] arXiv:2501.02406 [pdf, html, other]

Title: Who Wrote This? Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities

Tara Radvand, Mojtaba Abdolmaleki, Mohamed Mostagir, Ambuj Tewari

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Information Theory (cs.IT); Machine Learning (cs.LG)

[18] arXiv:2501.02411 [pdf, html, other]

Title: Transfer learning via Regularized Linear Discriminant Analysis

Hongzhe Zhang, Arnab Auddy, Hongzhe Lee

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

[19] arXiv:2501.02441 [pdf, html, other]

Title: A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models

Yinpeng Cai, Lexin Li, Linjun Zhang

Comments: 29 pages, 5 figures

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Statistics Theory (math.ST)

[20] arXiv:2501.02547 [pdf, html, other]

Title: Transformers Simulate MLE for Sequence Generation in Bayesian Networks

Yuan Cao, Yihan He, Dennis Wu, Hong-Yu Chen, Jianqing Fan, Han Liu

Comments: 51 pages, 17 figures, 5 tables

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

[21] arXiv:2501.02672 [pdf, html, other]

Title: Re-examining Granger Causality from Causal Bayesian Networks Perspective

S. A. Adedayo

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Econometrics (econ.EM); Methodology (stat.ME)

[22] arXiv:2501.02761 [pdf, html, other]

Title: Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming

Wenzhi Gao, Dongdong Ge, Chenyu Xue, Chunlin Sun, Yinyu Ye

Comments: Extension of conference submission this https URL

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

[23] arXiv:2501.02934 [pdf, html, other]

Title: A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data

Debangshu Chowdhury, Souvik Chakraborty

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[24] arXiv:2501.02961 [pdf, html, other]

Title: A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users

Alexander Merkov, David Rohde

Comments: 13 pages

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

[25] arXiv:2501.02989 [pdf, html, other]

Title: Classifier Weighted Mixture models

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer

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

[26] arXiv:2501.02994 [pdf, html, other]

Title: NeuroPMD: Neural Fields for Density Estimation on Product Manifolds

William Consagra, Zhiling Gu, Zhengwu Zhang

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

[27] arXiv:2501.03041 [pdf, html, other]

Title: Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction

Jingyi Wang, Ying Chen, Paolo Giudici

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

[28] arXiv:2501.03451 [pdf, html, other]

Title: Structure-Preference Enabled Graph Embedding Generation under Differential Privacy

Sen Zhang, Qingqing Ye, Haibo Hu

Comments: Accepted by ICDE 25

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[29] arXiv:2501.03821 [pdf, html, other]

Title: The Choice of Normalization Influences Shrinkage in Regularized Regression

Johan Larsson, Jonas Wallin

Comments: 27 pages, 21 figures

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

[30] arXiv:2501.04134 [pdf, html, other]

Title: Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity

Mario Bravo, Juan P. Flores-Mella, Cristóbal Guzmán

Comments: 40 pages, 2 figures

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

[31] arXiv:2501.04179 [pdf, html, other]

Title: Generation from Noisy Examples

Ananth Raman, Vinod Raman

Comments: 19 pages. arXiv admin note: text overlap with arXiv:2410.13714

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

[32] arXiv:2501.04234 [pdf, html, other]

Title: Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks

Rachel Longjohn, Giri Gopalan, Emily Casleton

Comments: LA-UR-24-25289; presented at the Workshop on Statistical Frontiers in LLMs and Foundation Models at NeurIPS 2024

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

[33] arXiv:2501.04272 [pdf, html, other]

Title: On weight and variance uncertainty in neural networks for regression tasks

Moein Monemi, Morteza Amini, S. Mahmoud Taheri, Mohammad Arashi

Comments: Submitted to journal

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

[34] arXiv:2501.04299 [pdf, html, other]

Title: Circuit Complexity Bounds for Visual Autoregressive Model

Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computational Complexity (cs.CC); Computation and Language (cs.CL); Machine Learning (cs.LG)

[35] arXiv:2501.04339 [pdf, html, other]

Title: DCIts -- Deep Convolutional Interpreter for time series

Davor Horvatic, Domjan Baric

Comments: 37 pages, 15 figures

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

[36] arXiv:2501.04667 [pdf, html, other]

Title: Natural Variational Annealing for Multimodal Optimization

Tâm Le Minh, Julyan Arbel, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Florence Forbes

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

[37] arXiv:2501.04683 [pdf, html, other]

Title: Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA

Conrad Borchers

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

[38] arXiv:2501.04870 [pdf, html, other]

Title: Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning

Jinhang Chai, Elynn Chen, Jianqing Fan

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

[39] arXiv:2501.04871 [pdf, html, other]

Title: RieszBoost: Gradient Boosting for Riesz Regression

Kaitlyn J. Lee, Alejandro Schuler

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

[40] arXiv:2501.04898 [pdf, other]

Title: Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression

Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li

Comments: 46 pages, 1 figure, 2 tables

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

[41] arXiv:2501.04903 [pdf, other]

Title: Towards understanding the bias in decision trees

Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford

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

[42] arXiv:2501.04946 [pdf, html, other]

Title: Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models

Yijun Zuo

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

[43] arXiv:2501.05089 [pdf, html, other]

Title: Supervised Learning with Evolving Tasks and Performance Guarantees

Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano

Comments: arXiv admin note: text overlap with arXiv:2310.15974

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

[44] arXiv:2501.05105 [pdf, html, other]

Title: Robust Score Matching

Richard Schwank, Andrew McCormack, Mathias Drton

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

[45] arXiv:2501.05530 [pdf, html, other]

Title: Outlyingness Scores with Cluster Catch Digraphs

Rui Shi, Nedret Billor, Elvan Ceyhan

Comments: 29 pages, 7 figures, 16 tables

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

[46] arXiv:2501.05745 [pdf, html, other]

Title: Covariate Dependent Mixture of Bayesian Networks

Roman Marchant, Dario Draca, Gilad Francis, Sahand Assadzadeh, Mathew Varidel, Frank Iorfino, Sally Cripps

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

[47] arXiv:2501.06366 [pdf, html, other]

Title: Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing

Jitao Wang, Chengchun Shi, John D. Piette, Joshua R. Loftus, Donglin Zeng, Zhenke Wu

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

[48] arXiv:2501.06408 [pdf, html, other]

Title: Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions

Shang Wu, Yazhen Wang

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

[49] arXiv:2501.06534 [pdf, html, other]

Title: Dynamic Causal Structure Discovery and Causal Effect Estimation

Jianian Wang, Rui Song

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

[50] arXiv:2501.06868 [pdf, html, other]

Title: Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age

Marcos Matabuena

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)