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Machine Learning

Authors and titles for recent submissions, skipping first 25

[ total of 105 entries: 1-25 | 26-50 | 51-75 | 76-100 | 101-105 ]
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Thu, 2 May 2024 (continued, showing last 13 of 15 entries)

[26]  arXiv:2405.00442 [pdf, other]
Title: Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
Comments: This paper is under consideration at Pattern Recognition Letters
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[27]  arXiv:2405.00385 [pdf, other]
Title: Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians
Authors: Yuta Nakahara
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)
[28]  arXiv:2405.00675 (cross-list from cs.LG) [pdf, other]
Title: Self-Play Preference Optimization for Language Model Alignment
Comments: 25 pages, 4 figures, 5 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[29]  arXiv:2405.00454 (cross-list from cs.LG) [pdf, ps, other]
Title: Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
Comments: Accepted in ISIT 2024
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Machine Learning (stat.ML)
[30]  arXiv:2405.00424 (cross-list from econ.EM) [pdf, other]
Title: Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution
Authors: Zhaoxing Gao
Comments: 53 pages, 10 figures
Subjects: Econometrics (econ.EM); Methodology (stat.ME); Machine Learning (stat.ML)
[31]  arXiv:2405.00417 (cross-list from cs.LG) [pdf, other]
Title: Conformal Risk Control for Ordinal Classification
Comments: 17 pages, 8 figures, 2 table; 1 supplementary page
Journal-ref: In UAI 2023: The 39th Conference on Uncertainty in Artificial Intelligence
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[32]  arXiv:2405.00202 (cross-list from cs.LG) [pdf, other]
Title: Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[33]  arXiv:2405.00172 (cross-list from cs.LG) [pdf, other]
Title: Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings
Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)
[34]  arXiv:2405.00158 (cross-list from stat.ME) [pdf, other]
Title: BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)
[35]  arXiv:2405.00129 (cross-list from cs.SI) [pdf, other]
Title: Complex contagions can outperform simple contagions for network reconstruction with dense networks or saturated dynamics
Comments: 8 pages, 5 figures
Subjects: Social and Information Networks (cs.SI); Populations and Evolution (q-bio.PE); Machine Learning (stat.ML)
[36]  arXiv:2405.00081 (cross-list from math.PR) [pdf, other]
Title: Imprecise Markov Semigroups and their Ergodicity
Authors: Michele Caprio
Subjects: Probability (math.PR); Statistics Theory (math.ST); Machine Learning (stat.ML)
[37]  arXiv:2405.00065 (cross-list from math.OC) [pdf, other]
Title: From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
Subjects: Optimization and Control (math.OC); Computational Complexity (cs.CC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[38]  arXiv:2405.00017 (cross-list from cs.DC) [pdf, other]
Title: Queuing dynamics of asynchronous Federated Learning
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Machine Learning (stat.ML)

Wed, 1 May 2024 (showing first 12 of 21 entries)

[39]  arXiv:2404.19557 [pdf, other]
Title: Neural Dynamic Data Valuation
Comments: 43 pages, 19 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[40]  arXiv:2404.19301 [pdf, ps, other]
Title: Statistics and explainability: a fruitful alliance
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[41]  arXiv:2404.19220 [pdf, other]
Title: Regression for matrix-valued data via Kronecker products factorization
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[42]  arXiv:2404.19157 [pdf, other]
Title: Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
Authors: Javier Antoran
Comments: PhD Thesis, University of Cambridge
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[43]  arXiv:2404.19073 [pdf, other]
Title: Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
Comments: 16 pages, 2 figures, 1 table
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP)
[44]  arXiv:2404.19756 (cross-list from cs.LG) [pdf, other]
Title: KAN: Kolmogorov-Arnold Networks
Comments: 48 pages, 20 figures. Codes are available at this https URL
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[45]  arXiv:2404.19719 (cross-list from cs.LG) [pdf, other]
Title: The lazy (NTK) and rich ($μ$P) regimes: a gentle tutorial
Authors: Dhruva Karkada
Comments: 22 pages, 7 figures
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[46]  arXiv:2404.19661 (cross-list from stat.ME) [pdf, other]
Title: PCA for Point Processes
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[47]  arXiv:2404.19649 (cross-list from cs.LG) [pdf, other]
Title: Landmark Alternating Diffusion
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (stat.ML)
[48]  arXiv:2404.19640 (cross-list from cs.LG) [pdf, other]
Title: Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Methodology (stat.ME); Machine Learning (stat.ML)
[49]  arXiv:2404.19620 (cross-list from cs.LG) [pdf, other]
Title: Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Comments: ICLR 24
Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Machine Learning (stat.ML)
[50]  arXiv:2404.19517 (cross-list from math.OC) [pdf, ps, other]
Title: Inexact subgradient methods for semialgebraic functions
Authors: Jérôme Bolte (TSE-R), Tam Le (UGA, LJK), Éric Moulines (CMAP, MBZUAI), Edouard Pauwels (TSE-R, IUF)
Subjects: Optimization and Control (math.OC); Machine Learning (stat.ML)
[ total of 105 entries: 1-25 | 26-50 | 51-75 | 76-100 | 101-105 ]
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