Statistics - Machine Learning

RSS

Data Structures and Algorithms Addressing Bias in Candidate Selection Processes

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi

2025-06-08T08:35:04+00:00 ― 7 min read

Populations and Evolution Advancements in Phylogenetic Analysis Using SBNs

New models improve understanding of evolutionary relationships among species.

Tianyu Xie, Musu Yuan, Minghua Deng

2025-06-08T02:44:36+00:00 ― 6 min read

Machine Learning Learning Markov Random Fields from Dynamics

This research explores efficient learning of Markov Random Fields using dynamic samples.

Jason Gaitonde, Ankur Moitra, Elchanan Mossel

2025-06-08T01:54:32+00:00 ― 6 min read

Machine Learning Advancing Uncertainty Quantification in Bayesian Neural Networks

Bayesian neural networks improve predictions by accounting for uncertainty and integrating prior knowledge.

Javad Ghorbanian, Nicholas Casaprima, Audrey Olivier

2025-06-08T01:04:28+00:00 ― 6 min read

Trading and Market Microstructure Predicting Market Movements Through Trade Analysis

This study examines how specific trade traits forecast future market prices.

Tejas Ramdas, Martin T. Wells

2025-06-08T00:14:24+00:00 ― 5 min read

Machine Learning Adapting to Change: Sliding-Window Thompson Sampling

This article discusses how Sliding-Window Thompson Sampling addresses decision-making in shifting environments.

Marco Fiandri, Alberto Maria Metelli, Francesco Trovò

2025-06-07T23:24:20+00:00 ― 4 min read

Statistics Theory New Method for Estimating Variance in Markov Chains

Introducing an efficient way to estimate variance in ever-changing systems.

Shubhada Agrawal, Prashanth L. A., Siva Theja Maguluri

2025-06-07T15:53:44+00:00 ― 6 min read

Machine Learning A New Method for Efficient Design Searching in Research

This method helps researchers find efficient designs in complex problem spaces.

Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong

2025-06-07T11:43:24+00:00 ― 5 min read

Machine Learning Efficient Task Affinity Estimation in Multitask Learning

A new method improves task affinity estimation for multitask learning.

Dongyue Li, Aneesh Sharma, Hongyang R. Zhang

2025-06-07T10:53:20+00:00 ― 6 min read

Computation and Language A New Method for Selecting Pretraining Data

This approach simplifies choosing effective pretraining datasets for language models.

Tristan Thrush, Christopher Potts, Tatsunori Hashimoto

2025-06-07T09:13:12+00:00 ― 8 min read

Machine Learning Improving User Preference Learning with Response Times

This study shows how response times can enhance understanding of user preferences.

Shen Li, Yuyang Zhang, Zhaolin Ren

2025-06-07T08:23:08+00:00 ― 6 min read

Machine Learning The Challenge of Hallucinations in Language Models

Examining the accuracy issues in large language models and their societal effects.

Sourav Banerjee, Ayushi Agarwal, Saloni Singla

2025-06-07T07:33:04+00:00 ― 6 min read

Machine Learning Assessing Treatment Effects: The K-Fold Causal BART Model

This research evaluates a new model for estimating treatment effects in individuals.

Hugo Gobato Souto, Francisco Louzada Neto

2025-06-07T06:43:00+00:00 ― 7 min read

Machine Learning Improving Naive Bayes Classification with Projection Pursuit

Enhancing Naive Bayes model accuracy using optimal data projections.

David P. Hofmeyr, Francois Kamper, Michail M. Melonas

2025-06-07T05:52:56+00:00 ― 6 min read

Machine Learning Class Imbalance in Machine Learning: Resampling vs. Reweighting

Examining strategies for improving feature learning in imbalanced datasets.

Tomoyuki Obuchi, Toshiyuki Tanaka

2025-06-07T05:02:52+00:00 ― 7 min read

Machine Learning Recurrent Neural Networks: A Deep Dive into Their Capabilities

Exploring the effectiveness and questions surrounding recurrent neural networks in sequential data processing.

Yuling Jiao, Yang Wang, Bokai Yan

2025-06-07T04:12:48+00:00 ― 6 min read

Machine Learning Advancing Experimental Design with IO-NPF Method

A new algorithm improves efficiency in Bayesian experimental design.

Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites

2025-06-07T02:32:40+00:00 ― 5 min read

Applications Harnessing Machine Learning for Seasonal Rainfall Predictions in East Africa

This study examines how machine learning can improve rainfall forecasts in East Africa.

Michael Scheuerer, Claudio Heinrich-Mertsching, Titike K. Bahaga

2025-06-07T00:52:32+00:00 ― 5 min read

Geophysics Improving Uncertainty Quantification in Seismic Inversion

A study on advanced techniques for better uncertainty analysis in seismic exploration.

Luping Qu, Mauricio Araya-Polo, Laurent Demanet

2025-06-07T00:02:28+00:00 ― 9 min read

Metric Geometry Partitioned Networks: Analyzing Complex Relationships

Explore how partitioned networks help us understand various complex relationships.

Stephen Y Zhang, Fangfei Lan, Youjia Zhou

2025-06-06T23:12:24+00:00 ― 5 min read

Econometrics Estimating Causal Relationships in Clustered Data

This work presents methods for analyzing causal functions in complex clustered data.

Nan Liu, Yanbo Liu, Yuya Sasaki

2025-06-06T21:32:16+00:00 ― 5 min read

Computation and Language Addressing Privacy Risks with Membership Inference Attacks

Explore the privacy concerns surrounding membership inference attacks in machine learning.

Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas

2025-06-06T19:52:08+00:00 ― 5 min read

Machine Learning Searching for New Particles in High-Energy Collisions

A look into methods for identifying potential new particles in particle physics.

Soheun Yi, John Alison, Mikael Kuusela

2025-06-06T18:12:00+00:00 ― 6 min read

Quantitative Methods New Method for Analyzing Cellular Interactions

Combining time-series and perturbation data improves understanding of cellular networks.

Stephen Y Zhang

2025-06-06T17:21:56+00:00 ― 8 min read

Machine Learning Advancements in Causal Inference with ps-BART Model

A new model improves treatment effect estimation in complex scenarios.

Hugo Gobato Souto, Francisco Louzada Neto

2025-06-06T15:41:48+00:00 ― 6 min read

Machine Learning Integrating Physics with Deep Learning Techniques

Combining physics models and deep learning to improve predictions and manage uncertainty.

Alex Glyn-Davies, Arnaud Vadeboncoeur, O. Deniz Akyildiz

2025-06-06T14:51:44+00:00 ― 5 min read

Machine Learning Neural Networks: A Practical Overview

Learn the basics of neural networks and their applications across various fields.

Martín Hernández, Enrique Zuazua

2025-06-06T14:01:40+00:00 ― 4 min read

Optimization and Control Evolving Trade Dynamics in a Complex World

Examining new methods and factors affecting global trade patterns.

Thomas Gaskin, Marie-Therese Wolfram, Andrew Duncan

2025-06-06T13:11:36+00:00 ― 5 min read

Trading and Market Microstructure Using K-NN Resampling to Simulate Limit Order Books

Learn how K-NN resampling can improve trading strategies using historical data.

Michael Giegrich, Roel Oomen, Christoph Reisinger

2025-06-06T12:21:32+00:00 ― 5 min read

Machine Learning E2Tree: A Clearer Path in Ensemble Learning

E2Tree enhances explainability in ensemble models, improving insights into decision-making processes.

Massimo Aria, Agostino Gnasso, Carmela Iorio

2025-06-06T11:31:28+00:00 ― 6 min read

Machine Learning Advanced Target Tracking in Sensor Networks

New distributed methods enhance target tracking while reducing energy costs.

Xingchi Liu, Lyudmila Mihaylova, Jemin George

2025-06-06T07:21:08+00:00 ― 5 min read

Machine Learning Advancements in Automating Interaction Discovery

New methods automate the discovery of interactions in complex systems.

Zuheng, Xu, Moksh Jain

2025-06-06T05:41:00+00:00 ― 6 min read

Machine Learning Advancing Language Models with Synthetic Pretraining

New method improves language models' knowledge from limited data.

Zitong Yang, Neil Band, Shuangping Li

2025-06-06T04:50:56+00:00 ― 7 min read

Machine Learning Manifold Learning and Knowledge Transfer in Machine Learning

Exploring how data structure impacts machine learning performance.

E. Tron, E. Fioresi

2025-06-06T04:00:52+00:00 ― 4 min read

Machine Learning Advancements in Molecular Generation Using Training-Free Guidance

Discover how training-free guidance is transforming molecular generation with discrete diffusion models.

Thomas J. Kerby, Kevin R. Moon

2025-06-06T03:10:48+00:00 ― 5 min read

Machine Learning Streamlined Method for Outlier Management in Data Analysis

A new approach to handle data with outliers efficiently.

Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal Kalyani

2025-06-06T02:20:44+00:00 ― 5 min read

Machine Learning Personalised Federated Learning via Multi-Armed Bandit Approach

A new method balances personalisation and privacy in federated learning.

Ali Arabzadeh, James A. Grant, David S. Leslie

2025-06-06T01:30:40+00:00 ― 8 min read

Machine Learning Advancements in Selectivity Learning for Databases

New methods improve query selectivity predictions using machine learning techniques.

Peizhi Wu, Haoshu Xu, Ryan Marcus

2025-06-05T23:50:32+00:00 ― 6 min read

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