Statistics - Machine Learning

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Machine Learning Advancements in Gaussian Process Regression for Safety-Critical Applications

New error bounds improve GPR's reliability in safety-sensitive fields.

Robert Reed, Luca Laurenti, Morteza Lahijanian

2025-06-18T02:13:44+00:00 ― 6 min read

Latest Articles

Machine Learning Introducing COG: A New Method for Generative Models

COG improves blending of latent variables in generative models.

Erik Bodin, Carl Henrik Ek, Henry Moss

2025-06-17T21:13:20+00:00 ― 5 min read

Optimization and Control Optimal Stopping Problems and Reinforcement Learning

Examining how entropy regularization enhances decision-making in uncertain environments.

Jodi Dianetti, Giorgio Ferrari, Renyuan Xu

2025-06-17T17:53:04+00:00 ― 5 min read

Machine Learning Advancements in Time Series Analysis with State Space Learning

State Space Learning enhances time series analysis through improved accuracy and flexibility.

André Ramos, Davi Valladão, Alexandre Street

2025-06-17T17:03:00+00:00 ― 5 min read

Methodology Advancements in Double Machine Learning for Causal Inference

A fresh approach to causal inference using flexible data collection methods.

Abhinandan Dalal, Patrick Blöbaum, Shiva Kasiviswanathan

2025-06-17T14:32:48+00:00 ― 6 min read

Machine Learning Advancements in Prediction Methods: DLMF Explained

Learn how the Deep Limit Model-free method improves predictions and uncertainty management.

Kejin Wu, Dimitris N. Politis

2025-06-17T12:52:40+00:00 ― 6 min read

Machine Learning Physics-informed Neural Networks: A New Approach to Differential Equations

Innovative method combines machine learning and physics for solving differential equations.

Kai-liang Lu, Yu-meng Su, Zhuo Bi

2025-06-17T07:02:12+00:00 ― 6 min read

Machine Learning Advancements in Reinforcement Learning with Probabilistic Reward Machines

A novel algorithm enhances decision-making in complex environments using historical data.

Xiaofeng Lin, Xuezhou Zhang

2025-06-17T06:12:08+00:00 ― 5 min read

Machine Learning Advancements in Train Maintenance through Automation

Automated systems improve train diagnostics, leading to faster repairs and fewer delays.

Georges Tod, Jean Bruggeman, Evert Bevernage

2025-06-17T05:22:04+00:00 ― 6 min read

Signal Processing Improving Image Reconstruction with Parseval CNNs

Learn how Parseval operators enhance image processing in CNNs.

Michael Unser, Stanislas Ducotterd

2025-06-17T04:32:00+00:00 ― 5 min read

Machine Learning Advancements in Outlier Detection Techniques

New strategies for improved outlier detection are reshaping data analysis methods.

Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak

2025-06-17T03:41:56+00:00 ― 6 min read

Soft Condensed Matter Advancements in Modeling Soft Materials

New methods refine constitutive models for soft materials using statistical techniques.

Sachin Shanbhag, Gordon Erlebacher

2025-06-16T23:31:36+00:00 ― 6 min read

Machine Learning Advancements in Low-Rank Matrix Recovery Techniques

A look at recent methods to recover low-rank matrices with fewer observations.

Dominik Stöger, Yizhe Zhu

2025-06-16T22:41:32+00:00 ― 6 min read

Probability Analyzing Changes Through Probability Tail Bound Analysis

A look at how random walks help in understanding complex data changes.

Shih-Yu Chang

2025-06-16T21:51:28+00:00 ― 5 min read

Machine Learning Reliable Predictions for Sums and Averages

New methods in conformal prediction enhance reliability for group outcomes.

Rui Luo, Zhixin Zhou

2025-06-16T21:01:24+00:00 ― 6 min read

Machine Learning New Method Improves Climate Model Predictions

A novel approach enhances accuracy of climate predictions by addressing unobserved factors.

Wentao Gao, Jiuyong Li, Debo Cheng

2025-06-16T11:50:40+00:00 ― 5 min read

Machine Learning Predictive Coding: A New Approach to Learning in Neural Networks

Exploring the impact of predictive coding on neural network learning methods.

Francesco Innocenti, El Mehdi Achour, Ryan Singh

2025-06-16T11:00:36+00:00 ― 6 min read

Machine Learning Efficient Learning of Bayesian Networks with New Algorithm

A novel method improves Bayesian network learning from data.

Tong Xu, Simge Küçükyavuz, Ali Shojaie

2025-06-16T10:10:32+00:00 ― 5 min read

Machine Learning Introducing the Sinkhorn Bridge: A Simpler Approach to Probability Distribution Estimation

A new method simplifies estimating connections between probability distributions.

Aram-Alexandre Pooladian, Jonathan Niles-Weed

2025-06-16T08:30:24+00:00 ― 7 min read

Machine Learning New Method for Analyzing Time Delays in Data

A novel approach improves predictions by managing time delays in sensor data.

Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen

2025-06-16T06:00:12+00:00 ― 7 min read

Machine Learning Valuing Graph Data in Modern Marketplaces

A new method for assessing the value of graph data in various fields.

Ali Falahati, Mohammad Mohammadi Amiri

2025-06-16T05:10:08+00:00 ― 7 min read

Machine Learning Making Sense of Functional Data Analysis

New tools improve understanding of Functional Random Forest predictions in healthcare.

Fabrizio Maturo, Annamaria Porreca

2025-06-16T04:20:04+00:00 ― 8 min read

Machine Learning In-Context Learning: Adapting Language Models with Ease

Exploring the impact of in-context learning on language model performance.

Juno Kim, Tai Nakamaki, Taiji Suzuki

2025-06-16T03:30:00+00:00 ― 6 min read

Machine Learning Understanding Uncertainty in Machine Learning Models

A look into the types and measurement of uncertainty in predictions.

Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro

2025-06-16T02:39:56+00:00 ― 7 min read

Machine Learning New Insights into Large Language Models

Research reveals how layers in LLMs equally contribute to predictions.

Hangfeng He, Weijie J. Su

2025-06-15T16:39:08+00:00 ― 6 min read

Applications Revisiting Peer Review: Authors' Input in Machine Learning

Exploring how author rankings can improve peer review quality in research.

Buxin Su, Jiayao Zhang, Natalie Collina

2025-06-15T15:49:04+00:00 ― 5 min read

Machine Learning Advancing Neural Networks with Jacobian Learning

A new method improves neural networks by focusing on the Jacobian for structured outputs.

Jonathan Lorraine, Safwan Hossain

2025-06-15T14:59:00+00:00 ― 5 min read

Machine Learning Advancements in Kernel Approximation with Fourier Features

New methods improve efficiency in high-dimensional kernel approximations using Fourier features.

Ayoub Belhadji, Qianyu Julie Zhu, Youssef Marzouk

2025-06-15T14:08:56+00:00 ― 5 min read

Machine Learning Advancements in Amortized Bayesian Inference for Multilevel Models

This article discusses new methods for efficient data analysis using Bayesian techniques.

Daniel Habermann, Marvin Schmitt, Lars Kühmichel

2025-06-15T13:18:52+00:00 ― 5 min read

Machine Learning Introducing the Insert-Fill-Halt Framework for Graph Generation

A new framework that enhances graph generation flexibility and efficiency.

Samuel Cognolato, Alessandro Sperduti, Luciano Serafini

2025-06-15T12:28:48+00:00 ― 6 min read

Machine Learning Advancements in Functional Data Analysis for Classification

A look into improved methods for analyzing functional data.

Fabrizio Maturo, Annamaria Porreca

2025-06-15T11:38:44+00:00 ― 6 min read

Machine Learning Evaluating Synthetic Data Quality with Density Ratio Estimation

Learn how density ratio estimation measures synthetic data quality effectively.

Thom Benjamin Volker, Peter-Paul de Wolf, Erik-Jan van Kesteren

2025-06-15T10:48:40+00:00 ― 6 min read

Machine Learning Fair Division in Online Environments Using Contextual Bandits

This article discusses fair allocation of items using machine learning techniques.

Arun Verma, Indrajit Saha, Makoto Yokoo

2025-06-15T08:18:28+00:00 ― 7 min read

Risk Management RNN-HAR Model Enhances Volatility Forecasting

A new model improves risk assessment in finance using advanced techniques.

Rangika Peiris, Minh-Ngoc Tran, Chao Wang

2025-06-15T04:58:12+00:00 ― 7 min read

Machine Learning New Method Enhances Kernel Quantile Regression with Random Features

This article presents a novel approach to kernel quantile regression using random features.

Caixing Wang, Xingdong Feng

2025-06-15T03:18:04+00:00 ― 5 min read

Machine Learning Improving Privacy in Machine Learning Training

A new method enhances model performance while ensuring privacy in deep learning.

Xinwei Zhang, Zhiqi Bu, Mingyi Hong

2025-06-15T01:37:56+00:00 ― 7 min read

Machine Learning Neural Spacetimes: A New Approach to Directed Graphs

Neural Spacetimes offer innovative representations for analyzing directed graphs in various fields.

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law

2025-06-14T23:07:44+00:00 ― 5 min read

Machine Learning Improving Uncertainty Estimation in Graph Neural Networks

This research enhances prediction reliability in GNNs through integrated uncertainty quantification.

S. Akansha

2025-06-14T22:17:40+00:00 ― 7 min read

Methodology Advancements in Density Deconvolution for Streaming Data

A new method for estimating true distributions from noisy streaming data.

Stefano Favaro, Sandra Fortini

2025-06-14T17:17:16+00:00 ― 8 min read

Machine Learning New Method Advances Study of Cell Interactions

Meta Flow Matching enhances our understanding of cell behavior and treatment responses.

Lazar Atanackovic, Xi Zhang, Brandon Amos

2025-06-14T10:36:44+00:00 ― 6 min read

Machine Learning Addressing Delayed Feedback in Dueling Bandits

Algorithms confront bias and delays in user preference feedback.

Bongsoo Yi, Yue Kang, Yao Li

2025-06-14T09:46:40+00:00 ― 5 min read