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Authors and titles for recent submissions, skipping first 67

[ total of 416 entries: 1-25 | 18-42 | 43-67 | 68-92 | 93-117 | 118-142 | 143-167 | ... | 393-416 ]
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Wed, 29 May 2024 (continued, showing last 11 of 78 entries)

[68]  arXiv:2405.17535 (cross-list from cs.LG) [pdf, other]
Title: Calibrated Dataset Condensation for Faster Hyperparameter Search
Authors: Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian Gravelle, Teresa Ranadive, Tai-Ching Tuan, Furong Huang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[69]  arXiv:2405.17517 (cross-list from cs.LG) [pdf, other]
Title: WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
Authors: Louis Fournier (MLIA), Adel Nabli (MLIA, Mila), Masih Aminbeidokhti (ETS), Marco Pedersoli (ETS), Eugene Belilovsky (Mila), Edouard Oyallon
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[70]  arXiv:2405.17508 (cross-list from cs.LG) [pdf, other]
Title: Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation
Authors: Linglong Qian, Zina Ibrahim, Wenjie Du, Yiyuan Yang, Richard JB Dobson
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[71]  arXiv:2405.17490 (cross-list from cs.LG) [pdf, other]
Title: Revisit, Extend, and Enhance Hessian-Free Influence Functions
Authors: Ziao Yang, Han Yue, Jian Chen, Hongfu Liu
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[72]  arXiv:2405.17479 (cross-list from cs.LG) [pdf, other]
Title: A rationale from frequency perspective for grokking in training neural network
Authors: Zhangchen Zhou, Yaoyu Zhang, Zhi-Qin John Xu
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[73]  arXiv:2405.17478 (cross-list from cs.LG) [pdf, other]
Title: ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Authors: Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[74]  arXiv:2405.17464 (cross-list from cs.LG) [pdf, other]
Title: Data Valuation by Leveraging Global and Local Statistical Information
Authors: Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
Comments: 12 pages, 8 figures. arXiv admin note: text overlap with arXiv:2306.10577 by other authors
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[75]  arXiv:2405.17455 (cross-list from cs.CV) [pdf, other]
Title: WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
Authors: Adib Hasan, Mardavij Roozbehani, Munther Dahleh
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML)
[76]  arXiv:2405.17395 (cross-list from q-bio.NC) [pdf, other]
Title: CrEIMBO: Cross Ensemble Interactions in Multi-view Brain Observations
Authors: Noga Mudrik, Ryan Ly, Oliver Ruebel, Adam S. Charles
Subjects: Neurons and Cognition (q-bio.NC); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[77]  arXiv:2405.16413 (cross-list from cs.AI) [pdf, other]
Title: Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Authors: Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Applications (stat.AP)
[78]  arXiv:2405.14741 (cross-list from math.OC) [pdf, other]
Title: Bagging Improves Generalization Exponentially
Authors: Huaqian Jie, Donghao Ying, Henry Lam, Wotao Yin
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)

Tue, 28 May 2024 (showing first 14 of 108 entries)

[79]  arXiv:2405.17412 [pdf, other]
Title: Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
Authors: Aditya Ravuri, Neil D. Lawrence
Comments: Workshop preprint
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[80]  arXiv:2405.17333 [pdf, other]
Title: Conditioning on Time is All You Need for Synthetic Survival Data Generation
Authors: Mohd Ashhad, Ricardo Henao
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[81]  arXiv:2405.17318 [pdf, other]
Title: Extremal correlation coefficient for functional data
Authors: Mihyun Kim, Piotr Kokoszka
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[82]  arXiv:2405.17299 [pdf, other]
Title: Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Authors: Nikita Tsoy, Nikola Konstantinov
Comments: ICML 2024, camera-ready version
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[83]  arXiv:2405.17265 [pdf, other]
Title: Assessing uncertainty in Gaussian mixtures-based entropy estimation
Authors: Luca Scrucca
Subjects: Methodology (stat.ME)
[84]  arXiv:2405.17259 [pdf, other]
Title: The state learner -- a super learner for right-censored data
Authors: Anders Munch, Thomas A. Gerds
Subjects: Methodology (stat.ME)
[85]  arXiv:2405.17248 [pdf, other]
Title: Transformer In-Context Learning for Categorical Data
Authors: Aaron T. Wang, Ricardo Henao, Lawrence Carin
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[86]  arXiv:2405.17224 [pdf, other]
Title: The Epistemology behind Covariate Adjustment
Authors: Grayson L. Baird, Stephen L. Bieber
Comments: 30 pages, 6 Figures, r code
Subjects: Other Statistics (stat.OT)
[87]  arXiv:2405.17214 [pdf, other]
Title: Modelling between- and within-season trajectories in elite athletic performance data
Authors: M. Spyropoulou, J. G. Hopker, J. E. Griffin
Subjects: Applications (stat.AP)
[88]  arXiv:2405.17117 [pdf, other]
Title: Robust Reproducible Network Exploration
Authors: Masaki Toyoda, Yoshimasa Uematsu
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[89]  arXiv:2405.17094 [pdf, other]
Title: Dual feature reduction for the sparse-group lasso and its adaptive variant
Authors: Fabio Feser, Marina Evangelou
Comments: 46 pages, 18 figures, 41 tables
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[90]  arXiv:2405.17079 [pdf, other]
Title: Learning with User-Level Local Differential Privacy
Authors: Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[91]  arXiv:2405.17070 [pdf, ps, other]
Title: Efficient mid-term forecasting of hourly electricity load using generalized additive models
Authors: Monika Zimmermann, Florian Ziel
Subjects: Applications (stat.AP); Machine Learning (cs.LG); General Economics (econ.GN); Statistical Finance (q-fin.ST)
[92]  arXiv:2405.17064 [pdf, other]
Title: The Probability of Improved Prediction: a new concept in statistical inference
Authors: Olivier Thas, Stijn Jaspers
Subjects: Methodology (stat.ME)
[ total of 416 entries: 1-25 | 18-42 | 43-67 | 68-92 | 93-117 | 118-142 | 143-167 | ... | 393-416 ]
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