Statistics - Machine Learning

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Methodology Advancements in Gaussian Process Methods for Data Analysis

Discover the key benefits and applications of Gaussian Process methods in various fields.

Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova

2025-06-05T23:00:28+00:00 ― 5 min read

Machine Learning Improving Anomaly Detection with Neural Networks

This article discusses enhancing unsupervised anomaly detection using classification methods.

Tian-Yi Zhou, Matthew Lau, Jizhou Chen

2025-06-05T19:40:12+00:00 ― 6 min read

Human-Computer Interaction Visualizing Uncertainty in Scientific Data

Exploring methods to represent uncertainty in scientific data visualizations.

Robert Sisneros, Tushar M. Athawale, David Pugmire

2025-06-05T18:50:08+00:00 ― 5 min read

Machine Learning CausalBench: A New Tool for Causal Learning

CausalBench helps researchers study cause-and-effect relationships using data effectively.

Ahmet Kapkiç, Pratanu Mandal, Shu Wan

2025-06-05T18:00:04+00:00 ― 5 min read

Machine Learning Machine Learning Methods for Two-Sample Testing with Censored Data

Innovative approaches enhance statistical testing accuracy with incomplete data.

Petr Philonenko, Sergey Postovalov

2025-06-05T17:10:00+00:00 ― 7 min read

Machine Learning Improving Data Sampling with Localization Techniques

Local sampling offers a new way to handle complex data efficiently.

Georg A. Gottwald, Sebastian Reich

2025-06-05T16:19:56+00:00 ― 6 min read

Machine Learning Advancements in Functional Data Analysis for Environmental Data

New methods enhance analysis of environmental data using functional representations.

Donato Riccio, Fabrizio Maturo, Elvira Romano

2025-06-05T15:29:52+00:00 ― 8 min read

Cosmology and Nongalactic Astrophysics Advancements in Galaxy Modeling with CHARM

Researchers develop CHARM for faster galaxy distribution analysis using dark matter data.

Shivam Pandey, Chirag Modi, Benjamin D. Wandelt

2025-06-05T07:59:16+00:00 ― 7 min read

Machine Learning Advancements in Estimating Question Difficulty Using Active Learning

This research explores active learning methods to estimate question difficulty efficiently.

Arthur Thuy, Ekaterina Loginova, Dries F. Benoit

2025-06-05T05:29:04+00:00 ― 6 min read

Machine Learning Improving Decision-Making with OBSI Algorithm

OBSI enhances decision-making by focusing on relevant features in online settings.

Rowan Swiers, Subash Prabanantham, Andrew Maher

2025-06-05T04:39:00+00:00 ― 5 min read

Machine Learning Enhancing Clustering Techniques with Bayesian Methods

A new approach improves clustering results using Bayesian bootstrap.

Federico Maria Quetti, Silvia Figini, Elena ballante

2025-06-05T03:48:56+00:00 ― 6 min read

Machine Learning Introducing Multi-Forests for Multi-Class Outcomes

A new method to analyze multiple class outcomes using variable importance measures.

Roman Hornung, Alexander Hapfelmeier

2025-06-05T02:58:52+00:00 ― 5 min read

Machine Learning Improving Data Imputation with LSSDM

LSSDM offers an effective solution for filling gaps in multivariate time series data.

Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi

2025-06-05T02:08:48+00:00 ― 5 min read

Machine Learning New Method for Uncertainty in AI Predictions

A new approach improves how AI assesses uncertainty in predictions.

Taeseong Yoon, Heeyoung Kim

2025-06-04T23:38:36+00:00 ― 6 min read

Machine Learning Ensuring Fairness in Data with FVNNs

FVNNs provide a fair approach to data analysis and predictions.

Andrea Cavallo, Madeline Navarro, Santiago Segarra

2025-06-04T22:48:32+00:00 ― 4 min read

Cryptography and Security Protecting Privacy with Differential Privacy

A look at how differential privacy safeguards individual data in a data-driven world.

Weijie J. Su

2025-06-04T17:48:08+00:00 ― 6 min read

Machine Learning Hypergraphs: A New Lens on Data Complexity

Hypergraphs and diffusion wavelets offer deeper insights into complex data interactions.

Xingzhi Sun, Charles Xu, João F. Rocha

2025-06-04T16:08:00+00:00 ― 5 min read

Machine Learning New Framework for Efficient Distributed Clustering

A novel approach to clustering that enhances efficiency and maintains quality in distributed environments.

Hang Zhang, Yang Xu, Lei Gong

2025-06-04T15:17:56+00:00 ― 5 min read

Machine Learning Clustering Data in Hyperbolic Spaces

A new approach to clustering using Hyperbolic Spaces improves accuracy and efficiency.

Sagar Ghosh, Swagatam Das

2025-06-04T14:27:52+00:00 ― 5 min read

Machine Learning Analyzing Gender Wage Gaps Through Modern Models

Research reveals deeper insights into wage disparities using advanced models.

Keyon Vafa, Susan Athey, David M. Blei

2025-06-04T11:57:40+00:00 ― 6 min read

Machine Learning A New Approach to Continuous Kernels in Image Processing

Continuous Fourier Convolutions improve efficiency in image recognition tasks.

Clayton Harper, Luke Wood, Peter Gerstoft

2025-06-04T11:07:36+00:00 ― 5 min read

Machine Learning Refining Model Selection with Nested Models

A new method for selecting statistical models aims for simplicity and improved accuracy.

Mohammad Ali Hajiani, Babak Seyfe

2025-06-04T09:27:28+00:00 ― 4 min read

Machine Learning The Role of Compositional Learning in AI Models

This article discusses how compositional learning enhances model performance in various tasks.

Yi Ren, Danica J. Sutherland

2025-06-04T08:37:24+00:00 ― 5 min read

High Energy Physics - Phenomenology Profile OmniFold: A New Data Correction Method

A novel approach for correcting measurement errors using machine learning.

Huanbiao Zhu, Krish Desai, Mikael Kuusela

2025-06-04T02:46:56+00:00 ― 6 min read

Machine Learning Improving Fine-Tuning with SNR and Bayesian Methods

A new method enhances model tuning efficiency using signal-to-noise ratio metrics.

Haolin Chen, Philip N. Garner

2025-06-04T00:16:44+00:00 ― 6 min read

Machine Learning Advancing Distribution Matching with PWAN

A new method improves data alignment, especially with noisy datasets.

Zi-Ming Wang, Nan Xue, Ling Lei

2025-06-03T23:26:40+00:00 ― 5 min read

Machine Learning Comparing Neural Networks: MLPs vs. KANs

This article examines MLPs and KANs in low-data environments.

Farhad Pourkamali-Anaraki

2025-06-03T21:46:32+00:00 ― 7 min read

Databases Improving Data Quality for Better Decisions

Learn how to check and enhance data quality automatically.

Djibril Sarr

2025-06-03T20:56:28+00:00 ― 6 min read

Machine Learning Advancements in Multivariate Time Series Analysis with STVNN

STVNN offers a robust solution for analyzing complex data over time.

Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi

2025-06-03T20:06:24+00:00 ― 6 min read

Methodology Advancing Causal Inference with CVTMLE

CVTMLE combines TMLE and cross-validation for reliable causal estimates in research.

Matthew J. Smith, Rachael V. Phillips, Camille Maringe

2025-06-03T15:56:04+00:00 ― 7 min read

Machine Learning Next-Generation Time Series Prediction Method

A new approach enhances forecasting accuracy in time series analysis.

Yu Chen, Marin Biloš, Sarthak Mittal

2025-06-03T11:45:44+00:00 ― 5 min read

Computational Complexity Smooth Boosting: A New Approach in Machine Learning

This article explores smooth boosting and its advantages in model training.

Guy Blanc, Alexandre Hayderi, Caleb Koch

2025-06-03T10:55:40+00:00 ― 6 min read

Computational Physics Advancements in Coarse-Grained Molecular Dynamics Models

New methods improve accuracy in simulating complex particle interactions.

Liyao Lyu, Huan Lei

2025-06-03T10:05:36+00:00 ― 6 min read

Machine Learning Improving Naive Bayes Classifier Performance with Variable Weighting

A new method enhances Naive Bayes classifier efficiency by estimating variable weights.

Carine Hue, Marc Boullé

2025-06-03T08:25:28+00:00 ― 5 min read

Machine Learning Advancing Longitudinal Data Analysis with LMM-VAE

A new model improves analysis of longitudinal datasets with multiple covariates.

Priscilla Ong, Manuel Haußmann, Otto Lönnroth

2025-06-03T07:35:24+00:00 ― 5 min read

Machine Learning Understanding Neural Networks Through Simple Programs

Learn how neural networks mimic programming concepts for effective predictions.

Sourav Chatterjee, Timothy Sudijono

2025-06-03T00:04:48+00:00 ― 6 min read

Machine Learning Balancing Approximation and Generalization in Deep Learning

This article discusses neural networks that effectively blend approximation and generalization.

Ruiyang Hong, Anastasis Kratsios

2025-06-02T23:14:44+00:00 ― 5 min read

Machine Learning Deep Gaussian Processes: A New Approach to Prediction

Exploring how Deep Gaussian Processes improve predictions by addressing complex data relationships.

Qiuxian Meng, Yongyou Zhang

2025-06-02T22:24:40+00:00 ― 5 min read

Machine Learning A New Approach to Data Subset Selection in Machine Learning

Revolutionary framework enhances data selection efficiency for machine learning models.

Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal

2025-06-02T21:34:36+00:00 ― 4 min read

Machine Learning Combining Symmetry and Efficiency in Neural Networks

A new approach to neural networks using symmetry and structured matrices.

Ashwin Samudre, Mircea Petrache, Brian D. Nord

2025-06-02T20:44:32+00:00 ― 7 min read