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Authors and titles for recent submissions, skipping first 175

• Fri, 31 May 2024
• Thu, 30 May 2024
• Wed, 29 May 2024
• Tue, 28 May 2024
• Mon, 27 May 2024

Wed, 29 May 2024 (continued, showing last 14 of 78 entries)

[176]  arXiv:2405.17595 (cross-list from cs.LO) [pdf, other]

Title: Element-Free Probability Distributions and Random Partitions

Authors: Victor Blanchi, Hugo Paquet

Comments: To appear at LICS 2024

Subjects: Logic in Computer Science (cs.LO); Category Theory (math.CT); Probability (math.PR); Statistics Theory (math.ST)

[177]  arXiv:2405.17580 (cross-list from cs.LG) [pdf, other]

Title: Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes

Authors: Zhenfeng Tu, Santiago Aranguri, Arthur Jacot

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

[178]  arXiv:2405.17575 (cross-list from cs.LG) [pdf, other]

Title: Interpretable Prognostics with Concept Bottleneck Models

Authors: Florent Forest, Katharina Rombach, Olga Fink

Comments: Under review

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

[179]  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)

[180]  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)

[181]  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)

[182]  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)

[183]  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)

[184]  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)

[185]  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)

[186]  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)

[187]  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)

[188]  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)

[189]  arXiv:2405.14741 (cross-list from math.OC) [pdf, other]

Title: Bagging Improves Generalization Exponentially

Authors: Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin

Comments: Correct author list typo

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

Tue, 28 May 2024 (showing first 11 of 108 entries)

[190]  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)

[191]  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)

[192]  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)

[193]  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)

[194]  arXiv:2405.17265 [pdf, other]

Title: Assessing uncertainty in Gaussian mixtures-based entropy estimation

Authors: Luca Scrucca

Subjects: Methodology (stat.ME)

[195]  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)

[196]  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)

[197]  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)

[198]  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)

[199]  arXiv:2405.17117 [pdf, other]

Title: Robust Reproducible Network Exploration

Authors: Masaki Toyoda, Yoshimasa Uematsu

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[200]  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)

• Fri, 31 May 2024
• Thu, 30 May 2024
• Wed, 29 May 2024
• Tue, 28 May 2024
• Mon, 27 May 2024