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Machine Learning

Authors and titles for recent submissions

[ total of 72 entries: 1-25 | 26-50 | 51-72 ]
[ showing 25 entries per page: fewer | more | all ]

Thu, 25 Apr 2024

[1]  arXiv:2404.15967 [pdf, other]
Title: Interpretable Clustering with the Distinguishability Criterion
Authors: Ali Turfah, Xiaoquan Wen
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[2]  arXiv:2404.15746 [pdf, other]
Title: Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Authors: Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan
Comments: submitted to ICML
Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[3]  arXiv:2404.15618 [pdf, other]
Title: Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
Authors: Sawan Kumar, Rajdip Nayek, Souvik Chakraborty
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[4]  arXiv:2404.15466 [pdf, other]
Title: Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand
Authors: Tuoyi Zhao, Wen-xin Zhou, Lan Wang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[5]  arXiv:2404.15760 (cross-list from cs.LG) [pdf, other]
Title: Debiasing Machine Unlearning with Counterfactual Examples
Authors: Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[6]  arXiv:2404.15691 (cross-list from cs.LG) [pdf, other]
Title: Long-term Off-Policy Evaluation and Learning
Authors: Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
Comments: TheWebConference 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[7]  arXiv:2404.15417 (cross-list from cs.LG) [pdf, other]
Title: The Power of Resets in Online Reinforcement Learning
Authors: Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[8]  arXiv:2404.15409 (cross-list from cs.LG) [pdf, ps, other]
Title: Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
Authors: Gavin Brown, Jonathan Hayase, Samuel Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
Comments: 42 pages, 3 figures
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)
[9]  arXiv:2404.15378 (cross-list from cs.CV) [pdf, other]
Title: Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
Authors: Khai Nguyen, Nhat Ho
Comments: 24 pages, 11 figures, 4 tables
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Graphics (cs.GR); Machine Learning (cs.LG); Machine Learning (stat.ML)
[10]  arXiv:2404.15344 (cross-list from eess.SP) [pdf, other]
Title: Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers
Authors: Nayan Moni Baishya, B. R. Manoj
Comments: Accepted at the IEEE Wireless Communications and Networking Conference (WCNC) 2024
Subjects: Signal Processing (eess.SP); Cryptography and Security (cs.CR); Information Theory (cs.IT); Machine Learning (cs.LG); Machine Learning (stat.ML)
[11]  arXiv:2404.15343 (cross-list from eess.SP) [pdf, other]
Title: Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis
Authors: Nayan Moni Baishya, B. R. Manoj, Prabin K. Bora
Comments: Accepted at the IEEE Wireless Communications and Networking Conference (WCNC) 2024
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Machine Learning (cs.LG); Machine Learning (stat.ML)
[12]  arXiv:2404.15328 (cross-list from eess.SP) [pdf, other]
Title: Time topological analysis of EEG using signature theory
Authors: Stéphane Chrétien, Ben Gao, Astrid Thebault-Guiochon, Rémi Vaucher
Comments: 14 pages, 5 figures Under review for Journ\'ee des Statistiques 2024
Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG); Machine Learning (stat.ML)
[13]  arXiv:2404.15296 (cross-list from math.NA) [pdf, other]
Title: Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation
Authors: Martin Ludvigsen, Markus Grasmair
Comments: arXiv admin note: substantial text overlap with arXiv:2305.01758
Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

Wed, 24 Apr 2024

[14]  arXiv:2404.14873 [pdf, ps, other]
Title: Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data
Authors: Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
Comments: 16 pages, 10 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA)
[15]  arXiv:2404.14743 [pdf, other]
Title: Gradient Guidance for Diffusion Models: An Optimization Perspective
Authors: Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[16]  arXiv:2404.14460 [pdf, other]
Title: Inference of Causal Networks using a Topological Threshold
Authors: Filipe Barroso, Diogo Gomes, Gareth J. Baxter
Comments: 17 pages, 12 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[17]  arXiv:2404.15258 (cross-list from math.PR) [pdf, other]
Title: Score matching for sub-Riemannian bridge sampling
Authors: Erlend Grong, Karen Habermann, Stefan Sommer
Comments: 33 pages, 4 figures
Subjects: Probability (math.PR); Machine Learning (cs.LG); Differential Geometry (math.DG); Statistics Theory (math.ST); Machine Learning (stat.ML)
[18]  arXiv:2404.15253 (cross-list from stat.CO) [pdf, other]
Title: GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
Authors: Nawaf Bou-Rabee, Bob Carpenter, Milo Marsden
Comments: for companion code, see this https URL
Subjects: Computation (stat.CO); Statistics Theory (math.ST); Machine Learning (stat.ML)
[19]  arXiv:2404.15225 (cross-list from cs.LG) [pdf, other]
Title: PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction
Authors: Junwon You, Eunwoo Heo, Jae-Hun Jung
Subjects: Machine Learning (cs.LG); Computational Geometry (cs.CG); Algebraic Topology (math.AT); Machine Learning (stat.ML)
[20]  arXiv:2404.15209 (cross-list from cs.LG) [pdf, other]
Title: Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
Authors: Elynn Chen, Xi Chen, Wenbo Jing
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[21]  arXiv:2404.15018 (cross-list from cs.LG) [pdf, other]
Title: Conformal Predictive Systems Under Covariate Shift
Authors: Jef Jonkers, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke
Comments: 13 pages, 4 figures
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[22]  arXiv:2404.14857 (cross-list from stat.AP) [pdf, other]
Title: Variational Bayesian surrogate modelling with application to robust design optimisation
Authors: Thomas A. Archbold, Ieva Kazlauskaite, Fehmi Cirak
Comments: 31 pages, 16 figures
Subjects: Applications (stat.AP); Numerical Analysis (math.NA); Machine Learning (stat.ML)
[23]  arXiv:2404.14758 (cross-list from math.OC) [pdf, other]
Title: Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients
Authors: Sachin Garg, Albert S. Berahas, Michał Dereziński
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[24]  arXiv:2404.14689 (cross-list from cs.LG) [pdf, other]
Title: Interpretable Prediction and Feature Selection for Survival Analysis
Authors: Mike Van Ness, Madeleine Udell
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

Tue, 23 Apr 2024 (showing first 1 of 19 entries)

[25]  arXiv:2404.14276 [pdf, other]
Title: A Bayesian Approach for Prioritising Driving Behaviour Investigations in Telematic Auto Insurance Policies
Authors: Mark McLeod, Bernardo Perez-Orozco, Nika Lee, Davide Zilli
Comments: International Congress of Actuaries (2023)
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[ total of 72 entries: 1-25 | 26-50 | 51-72 ]
[ showing 25 entries per page: fewer | more | all ]

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