Statistics - Machine Learning

RSS

Machine Learning TAMA: A New Approach to Anomaly Detection

TAMA offers innovative solutions for detecting time series anomalies with clear insights.

Jiaxin Zhuang, Leon Yan, Zhenwei Zhang

2025-05-22T19:05:20+00:00 ― 6 min read

Machine Learning Understanding Activation Sparsity in Language Models

Exploring activation sparsity to improve language model efficiency.

Yuqi Luo, Chenyang Song, Xu Han

2025-05-22T17:42:42+00:00 ― 5 min read

Machine Learning Improving Graph Neural Networks with Unique Identifiers

New methods enhance GNNs using unique identifiers for better graph distinction.

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb

2025-05-22T14:57:26+00:00 ― 6 min read

Machine Learning Understanding Variable Importance in Machine Learning

A look at how variables impact machine learning predictions.

Xiaohan Wang, Yunzhe Zhou, Giles Hooker

2025-05-22T13:34:48+00:00 ― 7 min read

Machine Learning Model Complexity and Out-of-Distribution Detection

Exploring how model size affects performance in OOD detection.

Mouïn Ben Ammar, David Brellmann, Arturo Mendoza

2025-05-22T12:12:10+00:00 ― 4 min read

Machine Learning The Role of the Gauss-Newton Matrix in Neural Networks

Discover how the Gauss-Newton matrix enhances neural network training efficiency.

Jim Zhao, Sidak Pal Singh, Aurelien Lucchi

2025-05-22T10:49:32+00:00 ― 7 min read

Machine Learning SpecRaGE: A Smarter Way to Handle Multi-View Data

SpecRaGE improves how computers learn from mixed data sources.

Amitai Yacobi, Ofir Lindenbaum, Uri Shaham

2025-05-22T09:26:54+00:00 ― 6 min read

Machine Learning Making Reliable Predictions in Pharmaceuticals

Exploring the importance of prediction sets in drug development.

Ji Won Park, Robert Tibshirani, Kyunghyun Cho

2025-05-22T08:04:16+00:00 ― 5 min read

Systems and Control Simplifying Predictions with Low-Rank Tensors

Learn how low-rank tensors streamline predictions in complex systems.

Madeline Navarro, Sergio Rozada, Antonio G. Marques

2025-05-22T02:33:44+00:00 ― 5 min read

Machine Learning Improving Decision-Making Through Experimental Design

A new method combines experiments and decision-making for better outcomes.

Daolang Huang, Yujia Guo, Luigi Acerbi

2025-05-22T01:11:06+00:00 ― 7 min read

Machine Learning Addressing Label Shift in Machine Learning Models

Learn how label shift impacts machine learning and discover methods to address it.

Ruidong Fan, Xiao Ouyang, Hong Tao

2025-05-21T23:48:28+00:00 ― 6 min read

Machine Learning Clearing the Confusion in Machine Learning Explanations

A framework to improve clarity and reduce conflicting explanations in machine learning.

Sichao Li, Quanling Deng, Amanda S. Barnard

2025-05-21T22:25:50+00:00 ― 6 min read

Machine Learning Balancing Data Privacy with Efficiency

A new method enhances data analysis while preserving privacy.

Julien Nicolas, César Sabater, Mohamed Maouche

2025-05-21T21:03:12+00:00 ― 7 min read

Machine Learning ElasTST: A New Era in Time-Series Forecasting

ElasTST improves time-series forecasting across multiple horizons efficiently.

Jiawen Zhang, Shun Zheng, Xumeng Wen

2025-05-21T19:40:34+00:00 ― 6 min read

Machine Learning Advancing Machine Learning with OwSSL Techniques

A new approach helps machines learn from unfamiliar data.

Shengjie Niu, Lifan Lin, Jian Huang

2025-05-21T18:17:56+00:00 ― 5 min read

Machine Learning Strategies for Identifying the Best Option Efficiently

Learn how algorithms can help select the best choice among many options.

Kapilan Balagopalan, Tuan Ngo Nguyen, Yao Zhao

2025-05-21T16:55:18+00:00 ― 5 min read

Methodology Connecting The Dots: The Role of Copulas

Learn how copulas help reveal connections in data relationships.

David Huk, Mark Steel, Ritabrata Dutta

2025-05-21T10:02:08+00:00 ― 5 min read

Statistics Theory Understanding Signal Estimation in Noisy Environments

Discover techniques for estimating signals amidst noise in various fields.

Dmitrii M. Ostrovskii

2025-05-21T04:31:36+00:00 ― 6 min read

Statistics Theory Understanding Community Detection with the Bethe-Hessian Matrix

A look at how the Bethe-Hessian matrix aids in community detection.

Ludovic Stephan, Yizhe Zhu

2025-05-21T03:08:58+00:00 ― 6 min read

Physics and Society Traffic Predictions for Dakar: A Plan for Better Mobility

Using data to improve traffic flow and urban mobility in Dakar.

Henock M. Mboko, Mouhamadou A. M. T. Balde, Babacar M. Ndiaye

2025-05-21T01:46:20+00:00 ― 6 min read

Statistical Finance Predicting Cryptocurrency Prices with RNNs

Learn how RNNs help forecast cryptocurrency prices in real-time.

Shamima Nasrin Tumpa, Kehelwala Dewage Gayan Maduranga

2025-05-21T00:23:42+00:00 ― 8 min read

Machine Learning Deep Neural Networks: Advancing Weather Predictions

Research on deep neural networks shows promise for improving weather forecasting accuracy.

Debjoy Thakur

2025-05-20T21:38:26+00:00 ― 6 min read

Machine Learning Bridging the Gaps in Multi-View Data

New methods aid in interpreting incomplete multi-view data effectively.

Ella S. C. Orme, Marina Evangelou, Ulrich Paquet

2025-05-20T17:30:32+00:00 ― 6 min read

Machine Learning Evaluating Model Generalizability in Data Science

A new method to ensure models perform well across diverse data scenarios.

Daniel de Vassimon Manela, Linying Yang, Robin J. Evans

2025-05-20T16:07:54+00:00 ― 9 min read

Applications Organizing Job Ads for Better Clarity

A new method for classifying job ads improves understanding of the job market.

Maciej Beręsewicz, Marek Wydmuch, Herman Cherniaiev

2025-05-19T13:33:00+00:00 ― 4 min read

Machine Learning Rested Bandits: A New Look at Choices

Examining how rested bandits improve decision-making with breaks.

Marco Fiandri, Alberto Maria Metelli, Francesco Trov`o

2025-05-19T10:52:29+00:00 ― 6 min read

Machine Learning Improving Demand Forecasting with New Techniques

A new tool helps businesses forecast demand more accurately during peak events.

Malcolm Wolff, Kin G. Olivares, Boris Oreshkin

2025-05-19T08:11:58+00:00 ― 6 min read

Atmospheric and Oceanic Physics Deep Learning and Climate Predictions: A Promising Future

Can deep learning improve climate forecasts for local communities?

Jose González-Abad, José Manuel Gutiérrez

2025-05-19T05:31:27+00:00 ― 6 min read

Artificial Intelligence Navigating Urban Challenges with Smart Algorithms

Learn how advanced algorithms help improve city travel efficiency.

Mohamed Hussein Abo El-Ela, Ali Hamdi Fergany

2025-05-19T02:50:56+00:00 ― 7 min read

Machine Learning Enhancing AI Learning with IVON

A look at how IVON improves AI model performance efficiently.

Bai Cong, Nico Daheim, Yuesong Shen

2025-05-19T00:10:25+00:00 ― 5 min read

Machine Learning Bridging Data Gaps with ION and ION-C

A look into ION and ION-C's methods for merging complex data sets.

Praveen Nair, Payal Bhandari, Mohammadsajad Abavisani

2025-05-18T18:49:23+00:00 ― 5 min read

Machine Learning Protecting Data in Federated Learning

Methods to safeguard sensitive data while maintaining model performance.

Yuxiao Chen, Gamze Gürsoy, Qi Lei

2025-05-18T13:28:21+00:00 ― 5 min read

Machine Learning Reducing AI Training Costs with EEIPU

A novel method for efficient hyperparameter tuning and cost management in AI training.

Abdelmajid Essofi, Ridwan Salahuddeen, Munachiso Nwadike

2025-05-18T08:07:19+00:00 ― 7 min read

Machine Learning Advancements in Gaussian Processes for Data Prediction

New kernel improves Gaussian processes for accurate data predictions.

Mark D. Risser, Marcus M. Noack, Hengrui Luo

2025-05-18T02:46:17+00:00 ― 4 min read

Machine Learning Balancing Flavors: The Stochastic Saddle Point Problems

Explore the role of stochastic saddle point problems in recipe optimization and privacy.

Raef Bassily, Cristóbal Guzmán, Michael Menart

2025-05-17T18:44:44+00:00 ― 6 min read

Machine Learning Teaching Computers Through Expert Actions

Learn how Inverse Transition Learning helps computers make better decisions.

Leo Benac, Abhishek Sharma, Sonali Parbhoo

2025-05-17T16:04:13+00:00 ― 6 min read

Machine Learning Handling Uncertainty in Machine Learning

A look at how machine learning can manage uncertainty in classifications.

Michele Caprio, David Stutz, Shuo Li

2025-05-17T13:23:42+00:00 ― 5 min read

Machine Learning Understanding Centrality Graph Shift Operators

Learn how CGSOs enhance graph analysis by measuring node importance.

Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer

2025-05-17T10:43:11+00:00 ― 4 min read

Machine Learning DNAMite: A New Model for Health Predictions

DNAMite offers clearer health predictions while enhancing doctor-patient trust.

Mike Van Ness, Billy Block, Madeleine Udell

2025-05-16T18:40:05+00:00 ― 5 min read

Data Structures and Algorithms Protecting Privacy in Data Analysis with String Distances

Learn how string distances can aid privacy in sensitive data analysis.

Jerry Yao-Chieh Hu, Erzhi Liu, Han Liu

2025-05-16T15:59:34+00:00 ― 6 min read