Machine Learning

Authors and titles for recent submissions

• Fri, 17 Jan 2025
• Thu, 16 Jan 2025
• Wed, 15 Jan 2025
• Tue, 14 Jan 2025
• Mon, 13 Jan 2025

See today's new changes

Fri, 17 Jan 2025 (showing 14 of 14 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:2501.09336 [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)

[3] 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)

[4] 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)

[5] 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)

[6] 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)

[7] 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)

[8] 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)

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] arXiv:2501.09156 (cross-list from stat.AP) [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)

[14] 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 8 of 8 entries )

[15] 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)

[16] 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)

[17] 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)

[18] 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)

[19] arXiv:2501.08710 (cross-list from cs.LG) [pdf, html, other]

Title: Disentangled Interleaving Variational Encoding

Noelle Y. L. Wong, Eng Yeow Cheu, Zhonglin Chiam, Dipti Srinivasan

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

[20] arXiv:2501.08679 (cross-list from cs.LG) [pdf, html, other]

Title: Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity

Yicheng Li, Qian Lin

Comments: arXiv admin note: text overlap with arXiv:2409.00894

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

[21] arXiv:2501.08640 (cross-list from cs.LG) [pdf, other]

Title: Quantum Reservoir Computing and Risk Bounds

Naomi Mona Chmielewski (L2S), Nina Amini (L2S, CNRS), Joseph Mikael

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

[22] arXiv:2501.08426 (cross-list from cs.LG) [pdf, html, other]

Title: Causal vs. Anticausal merging of predictors

Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing

Comments: Presented at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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

Wed, 15 Jan 2025 (showing 24 of 24 entries )

[23] arXiv:2501.08288 [pdf, html, other]

Title: Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve

Pedro Pessoa, Max Schweiger, Lance W.Q. Xu, Tristan Manha, Ayush Saurabh, Julian Antolin Camarena, Steve Pressé

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an); Quantitative Methods (q-bio.QM)

[24] arXiv:2501.08201 [pdf, html, other]

Title: Globally Convergent Variational Inference

Declan McNamara, Jackson Loper, Jeffrey Regier

Comments: Accepted to the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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

[25] arXiv:2501.08050 [pdf, html, other]

Title: On the use of Statistical Learning Theory for model selection in Structural Health Monitoring

C. A. Lindley, N. Dervilis, K. Worden

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

[26] arXiv:2501.07763 [pdf, html, other]

Title: On the Statistical Capacity of Deep Generative Models

Edric Tam, David B. Dunson

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

[27] arXiv:2501.07741 [pdf, html, other]

Title: Concentration of Measure for Distributions Generated via Diffusion Models

Reza Ghane, Anthony Bao, Danil Akhtiamov, Babak Hassibi

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

[28] arXiv:2501.08330 (cross-list from cs.LG) [pdf, html, other]

Title: Gradient Equilibrium in Online Learning: Theory and Applications

Anastasios N. Angelopoulos, Michael I. Jordan, Ryan J. Tibshirani

Comments: Code available at this https URL

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

[29] arXiv:2501.08317 (cross-list from cs.LG) [pdf, html, other]

Title: A Similarity Measure Between Functions with Applications to Statistical Learning and Optimization

Chengpiao Huang, Kaizheng Wang

Comments: 9 pages

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

[30] arXiv:2501.08263 (cross-list from cs.LG) [pdf, html, other]

Title: Multiplayer Federated Learning: Reaching Equilibrium with Less Communication

TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou

Comments: 43 pages, 5 figures

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

[31] arXiv:2501.08223 (cross-list from cs.LG) [pdf, html, other]

Title: Big Batch Bayesian Active Learning by Considering Predictive Probabilities

Sebastian W. Ober, Samuel Power, Tom Diethe, Henry B. Moss

Comments: 7 pages, 2 figures; presented as a lightning talk at the NeurIPS Workshop on Bayesian Decision-making and Uncertainty (BDU; 2024)

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

[32] arXiv:2501.08202 (cross-list from math.DS) [pdf, html, other]

Title: Data-driven system identification using quadratic embeddings of nonlinear dynamics

Stefan Klus, Joel-Pascal N'Konzi

Subjects: Dynamical Systems (math.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)

[33] arXiv:2501.08149 (cross-list from cs.AI) [pdf, html, other]

Title: Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data

Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang, Quang Uy Nguyen, Eryk Dutkiewicz

Comments: 16 pages

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

[34] arXiv:2501.08040 (cross-list from cs.LG) [pdf, html, other]

Title: Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks

Samuel Chun-Hei Lam, Justin Sirignano, Konstantinos Spiliopoulos

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

[35] arXiv:2501.07964 (cross-list from cs.LG) [pdf, html, other]

Title: Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process

Shuhei Watanabe

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

[36] arXiv:2501.07795 (cross-list from stat.CO) [pdf, html, other]

Title: Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance

Teng Lian, Jian-Qiang Hu, Yuhang Wu, Zeyu Zheng

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

[37] arXiv:2501.07765 (cross-list from cs.LG) [pdf, html, other]

Title: PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks

Nahil Sobh, Rini Jasmine Gladstone, Hadi Meidani

Comments: 22 pages

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

[38] arXiv:2501.07761 (cross-list from cs.LG) [pdf, html, other]

Title: Impatient Bandits: Optimizing for the Long-Term Without Delay

Kelly W. Zhang, Thomas Baldwin-McDonald, Kamil Ciosek, Lucas Maystre, Daniel Russo

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

[39] arXiv:2501.07722 (cross-list from stat.ME) [pdf, html, other]

Title: ML-assisted Randomization Tests for Detecting Treatment Effects in A/B Experiments

Wenxuan Guo, JungHo Lee, Panos Toulis

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

[40] arXiv:2501.07681 (cross-list from cs.LG) [pdf, html, other]

Title: Dataset Distillation as Pushforward Optimal Quantization

Hong Ye Tan, Emma Slade

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Optimization and Control (math.OC); Machine Learning (stat.ML)

[41] arXiv:2501.07668 (cross-list from stat.CO) [pdf, html, other]

Title: Fast sampling and model selection for Bayesian mixture models

M. E. J. Newman

Comments: 19 pages, 5 tables, 9 figures. Code and data available at this https URL

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

[42] arXiv:2501.07652 (cross-list from cs.LG) [pdf, html, other]

Title: Finite Sample Identification of Partially Observed Bilinear Dynamical Systems

Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean

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

[43] arXiv:2501.07643 (cross-list from hep-ph) [pdf, html, other]

Title: A Step Toward Interpretability: Smearing the Likelihood

Andrew J. Larkoski

Comments: 16+1 pages, 3 figures

Subjects: High Energy Physics - Phenomenology (hep-ph); Machine Learning (cs.LG); High Energy Physics - Experiment (hep-ex); Machine Learning (stat.ML)

[44] arXiv:2501.07602 (cross-list from cs.LG) [pdf, html, other]

Title: An Explainable Pipeline for Machine Learning with Functional Data

Katherine Goode, J. Derek Tucker, Daniel Ries, Heike Hofmann

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

[45] arXiv:2501.07600 (cross-list from cs.LG) [pdf, html, other]

Title: Impact of Data Breadth and Depth on Performance of Siamese Neural Network Model: Experiments with Three Keystroke Dynamic Datasets

Ahmed Anu Wahab, Daqing Hou, Nadia Cheng, Parker Huntley, Charles Devlen

Comments: 19 pages, 4 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[46] arXiv:2501.07599 (cross-list from cs.LG) [pdf, html, other]

Title: Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning

Hankun He, Takuya Boehringer, Benjamin Schäfer, Kate Heppell, Christian Beck

Journal-ref: Sci. Rep. 14, 21288 (2024)

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

Tue, 14 Jan 2025 (showing first 4 of 32 entries )

[47] arXiv:2501.07446 [pdf, other]

Title: Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport

Brendan Mallery, James M. Murphy, Shuchin Aeron

Comments: 58 pages. Code to reproduce experiments: this https URL

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

[48] arXiv:2501.07437 [pdf, html, other]

Title: Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications

Sze Ming Lee, Yunxiao Chen

Comments: 34 pages, 1 figure

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

[49] arXiv:2501.07145 [pdf, html, other]

Title: A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

Csaba Tóth, Danilo Jr Dela Cruz, Harald Oberhauser

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

[50] arXiv:2501.07046 [pdf, html, other]

Title: Differentially Private Kernelized Contextual Bandits

Nikola Pavlovic, Sudeep Salgia, Qing Zhao

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