Machine Learning

Authors and titles for recent submissions

• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024

Fri, 3 May 2024

[1]  arXiv:2405.01404 [pdf, other]

Title: Random Pareto front surfaces

Authors: Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

Comments: The code is available at: this https URL

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

[2]  arXiv:2405.01124 [pdf, other]

Title: Investigating Self-Supervised Image Denoising with Denaturation

Authors: Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada

Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Statistics Theory (math.ST)

[3]  arXiv:2405.01015 [pdf, other]

Title: Network reconstruction via the minimum description length principle

Authors: Tiago P. Peixoto

Comments: 17 pages, 10 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Social and Information Networks (cs.SI); Data Analysis, Statistics and Probability (physics.data-an); Populations and Evolution (q-bio.PE)

[4]  arXiv:2405.01507 (cross-list from cs.LG) [pdf, other]

Title: Accelerating Convergence in Bayesian Few-Shot Classification

Authors: Tianjun Ke, Haoqun Cao, Feng Zhou

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

[5]  arXiv:2405.01488 (cross-list from cs.LG) [pdf, other]

Title: Digital Twin Generators for Disease Modeling

Authors: Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh

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

[6]  arXiv:2405.01484 (cross-list from cs.HC) [pdf, other]

Title: Designing Algorithmic Recommendations to Achieve Human-AI Complementarity

Authors: Bryce McLaughlin, Jann Spiess

Subjects: Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Econometrics (econ.EM); Machine Learning (stat.ML)

[7]  arXiv:2405.01425 (cross-list from cs.DS) [pdf, other]

Title: In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

Authors: Yunbum Kook, Santosh S. Vempala, Matthew S. Zhang

Comments: 32 pages

Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[8]  arXiv:2405.01365 (cross-list from cs.LG) [pdf, other]

Title: Dynamic Online Ensembles of Basis Expansions

Authors: Daniel Waxman, Petar M. Djurić

Comments: 34 pages, 14 figures. Accepted to Transactions on Machine Learning Research (TMLR)

Journal-ref: Transactions on Machine Learning Research (TMLR), 2024

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

[9]  arXiv:2405.01304 (cross-list from math.ST) [pdf, ps, other]

Title: Misclassification bounds for PAC-Bayesian sparse deep learning

Authors: The Tien Mai

Comments: arXiv admin note: text overlap with arXiv:1908.04847 by other authors

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

[10]  arXiv:2405.01281 (cross-list from stat.ME) [pdf, ps, other]

Title: Demistifying Inference after Adaptive Experiments

Authors: Aurélien Bibaut, Nathan Kallus

Subjects: Methodology (stat.ME); Econometrics (econ.EM); Statistics Theory (math.ST); Machine Learning (stat.ML)

[11]  arXiv:2405.01251 (cross-list from cs.LG) [pdf, other]

Title: Revisiting semi-supervised training objectives for differentiable particle filters

Authors: Jiaxi Li, John-Joseph Brady, Xiongjie Chen, Yunpeng Li

Comments: 5 pages, 2 figures

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

[12]  arXiv:2405.01196 (cross-list from cs.LG) [pdf, other]

Title: Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

Authors: Mikkel Jordahn, Pablo Olmos

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

[13]  arXiv:2405.01157 (cross-list from cs.LG) [pdf, other]

Title: Tabular and Deep Reinforcement Learning for Gittins Index

Authors: Harshit Dhankar, Kshitij Mishra, Tejas Bodas

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

[14]  arXiv:2405.01031 (cross-list from cs.LG) [pdf, other]

Title: The Privacy Power of Correlated Noise in Decentralized Learning

Authors: Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui

Comments: Accepted as conference paper at ICML 2024

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC); Optimization and Control (math.OC); Machine Learning (stat.ML)

[15]  arXiv:2405.01010 (cross-list from cs.LG) [pdf, other]

Title: Efficient and Adaptive Posterior Sampling Algorithms for Bandits

Authors: Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

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

[16]  arXiv:2405.00950 (cross-list from cs.LG) [pdf, other]

Title: Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

Authors: Guojun Xiong, Jian Li

Comments: Accepted by ICML 2024

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

[17]  arXiv:2405.00937 (cross-list from cs.LG) [pdf, ps, other]

Title: New bounds on the cohesion of complete-link and other linkage methods for agglomeration clustering

Authors: Sanjoy Dasgupta, Eduardo Laber

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[18]  arXiv:2405.00914 (cross-list from math.OC) [pdf, other]

Title: Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization

Authors: Chris Junchi Li

Comments: arXiv admin note: text overlap with arXiv:2307.00126

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

[19]  arXiv:2405.00853 (cross-list from cs.LG) [pdf, ps, other]

Title: Efficient Algorithms for Learning Monophonic Halfspaces in Graphs

Authors: Marco Bressan, Emmanuel Esposito, Maximilian Thiessen

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

[20]  arXiv:2405.00837 (cross-list from cs.LG) [pdf, other]

Title: Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations

Authors: Marshall Mueller, James M. Murphy, Abiy Tasissa

Comments: 26 pages, 8 figures

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

[21]  arXiv:2405.00792 (cross-list from cs.LG) [pdf, other]

Title: Error Exponent in Agnostic PAC Learning

Authors: Adi Hendel, Meir Feder

Comments: paper with appendix to accepted ISIT2024 paper with the same name

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

[22]  arXiv:2405.00781 (cross-list from quant-ph) [pdf, other]

Title: A Review of Barren Plateaus in Variational Quantum Computing

Authors: Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, M. Cerezo

Comments: 21 pages, 10 boxes

Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG); Machine Learning (stat.ML)

[23]  arXiv:2405.00742 (cross-list from cs.CR) [pdf, other]

Title: Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

Authors: Yi Li, Renyou Xie, Chaojie Li, Yi Wang, Zhaoyang Dong

Comments: 11 pages,4 figures

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Machine Learning (stat.ML)

Thu, 2 May 2024 (showing first 2 of 15 entries)

[24]  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)

[25]  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)

• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024