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Machine Learning

Authors and titles for recent submissions, skipping first 85

[ total of 140 entries: 1-25 | 11-35 | 36-60 | 61-85 | 86-110 | 111-135 | 136-140 ]
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Wed, 22 May 2024 (continued, showing last 3 of 20 entries)

[86]  arXiv:2405.12382 (cross-list from cs.LG) [pdf, other]
Title: Stochastic Reservoir Computers
Authors: Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Comments: 30 pages, 6 figures
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Systems and Control (eess.SY); Adaptation and Self-Organizing Systems (nlin.AO); Machine Learning (stat.ML)
[87]  arXiv:2405.12237 (cross-list from cs.LG) [pdf, other]
Title: EKM: An exact, polynomial-time algorithm for the $K$-medoids problem
Authors: Xi He, Max A. Little
Subjects: Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML)
[88]  arXiv:2405.11881 (cross-list from cs.LG) [pdf, other]
Title: Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Authors: Alvin Heng, Alexandre H. Thiery, Harold Soh
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

Tue, 21 May 2024

[89]  arXiv:2405.11848 [pdf, other]
Title: Alternators For Sequence Modeling
Authors: Mohammad Reza Rezaei, Adji Bousso Dieng
Comments: A new versatile family of sequence models that can be used for both generative modeling and supervised learning. The codebase will be made available upon publication. This paper is dedicated to Thomas Sankara
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Atmospheric and Oceanic Physics (physics.ao-ph); Neurons and Cognition (q-bio.NC)
[90]  arXiv:2405.11780 [pdf, other]
Title: General bounds on the quality of Bayesian coresets
Authors: Trevor Campbell
Comments: 23 pages, 3 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO)
[91]  arXiv:2405.11751 [pdf, other]
Title: Asymptotic theory of in-context learning by linear attention
Authors: Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan
Comments: 20 pages, 5 figures, and supplementary information
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)
[92]  arXiv:2405.11547 [pdf, other]
Title: Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
Authors: Ruihan Zhang, Jun Sun
Comments: accepted by CAV 2024
Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[93]  arXiv:2405.11404 [pdf, other]
Title: How big is Big Data?
Authors: Daniel T. Speckhard, Tim Bechtel, Luca M. Ghiringhelli, Martin Kuban, Santiago Rigamonti, Claudia Draxl
Subjects: Machine Learning (stat.ML); Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG); Computational Physics (physics.comp-ph)
[94]  arXiv:2405.11377 [pdf, other]
Title: Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Authors: Chenyin Gao, Zhiming Zhang, Shu Yang
Comments: Accepted for publication in ICML, 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[95]  arXiv:2405.11237 [pdf, other]
Title: Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
Authors: José Leites, Vitor Cerqueira, Carlos Soares
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[96]  arXiv:2405.11179 [pdf, other]
Title: Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models
Authors: Sohail Reddy, Hillary Fairbanks
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA); Probability (math.PR)
[97]  arXiv:2405.11795 (cross-list from quant-ph) [pdf, other]
Title: Application of time-series quantum generative model to financial data
Authors: Shun Okumura, Masayuki Ohzeki, Masaya Abe
Comments: 12 pages
Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Machine Learning (stat.ML)
[98]  arXiv:2405.11723 (cross-list from stat.ME) [pdf, ps, other]
Title: Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
Authors: Muxuan Liang, Yang Ning, Maureen A Smith, Ying-Qi Zhao
Comments: 27 pages, 4 figures
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[99]  arXiv:2405.11667 (cross-list from cs.LG) [pdf, other]
Title: The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Authors: Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Optimization and Control (math.OC); Machine Learning (stat.ML)
[100]  arXiv:2405.11633 (cross-list from cs.LG) [pdf, other]
Title: Geometry-Aware Instrumental Variable Regression
Authors: Heiner Kremer, Bernhard Schölkopf
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[101]  arXiv:2405.11477 (cross-list from stat.ME) [pdf, other]
Title: Analyze Additive and Interaction Effects via Collaborative Trees
Authors: Chien-Ming Chi
Comments: 78 pages, 8 figures, 9 tables
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[102]  arXiv:2405.11451 (cross-list from math.NA) [pdf, ps, other]
Title: Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method
Authors: Yuling Jiao, Yanming Lai, Yang Wang
Subjects: Numerical Analysis (math.NA); Artificial Intelligence (cs.AI); Analysis of PDEs (math.AP); Machine Learning (stat.ML)
[103]  arXiv:2405.11431 (cross-list from cs.LG) [pdf, other]
Title: Review of deep learning models for crypto price prediction: implementation and evaluation
Authors: Jingyang Wu, Xinyi Zhang, Fangyixuan Huang, Haochen Zhou, Rohtiash Chandra
Subjects: Machine Learning (cs.LG); Statistical Finance (q-fin.ST); Machine Learning (stat.ML)
[104]  arXiv:2405.11318 (cross-list from cs.LG) [pdf, other]
Title: Smooth Kolmogorov Arnold networks enabling structural knowledge representation
Authors: Moein E. Samadi, Younes Müller, Andreas Schuppert
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[105]  arXiv:2405.11242 (cross-list from eess.SP) [pdf, other]
Title: Advancing fNIRS Neuroimaging through Synthetic Data Generation and Machine Learning Applications
Authors: Eitan Waks
Comments: 21 pages, 12 figures
Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG); Medical Physics (physics.med-ph); Machine Learning (stat.ML)
[106]  arXiv:2405.11213 (cross-list from stat.AP) [pdf, other]
Title: Real Time Monitoring and Forecasting of COVID 19 Cases using an Adjusted Holt based Hybrid Model embedded with Wavelet based ANN
Authors: Agniva Das, Kunnummal Muralidharan
Comments: 36 pages, 41 figures
Subjects: Applications (stat.AP); Computation (stat.CO); Machine Learning (stat.ML)
[107]  arXiv:2405.11204 (cross-list from cs.LG) [pdf, other]
Title: Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Authors: Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[108]  arXiv:2405.11156 (cross-list from stat.ME) [pdf, ps, other]
Title: A Randomized Permutation Whole-Model Test Heuristic for Self-Validated Ensemble Models (SVEM)
Authors: Andrew T. Karl
Journal-ref: Chemometrics and Intelligent Laboratory Systems, Volume 249, 2024
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

Mon, 20 May 2024 (showing first 2 of 12 entries)

[109]  arXiv:2405.10930 [pdf, other]
Title: Submodular Information Selection for Hypothesis Testing with Misclassification Penalties
Authors: Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
Comments: 23 pages, 4 figures
Subjects: Machine Learning (stat.ML); Computational Complexity (cs.CC); Information Theory (cs.IT); Machine Learning (cs.LG); Optimization and Control (math.OC)
[110]  arXiv:2405.10817 [pdf, ps, other]
Title: Restless Linear Bandits
Authors: Azadeh Khaleghi
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)
[ total of 140 entries: 1-25 | 11-35 | 36-60 | 61-85 | 86-110 | 111-135 | 136-140 ]
[ showing 25 entries per page: fewer | more | all ]

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