Statistics - Machine Learning

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Machine Learning Using Neural Networks for Bayesian Decision-Making

A new method improves decision-making analysis with neural networks in Bayesian frameworks.

Dominik Straub, Tobias F. Niehues, Jan Peters

2025-06-10T03:58:32+00:00 ― 9 min read

Latest Articles

Machine Learning Reassessing Confidence Intervals in Few-Shot Learning

A look at confidence intervals in few-shot learning and their impact on model evaluation.

Raphael Lafargue, Luke Smith, Franck Vermet

2025-06-09T22:58:08+00:00 ― 6 min read

Machine Learning Strengthening Time Series Classification Against Attacks

A new self-ensemble approach improves model resilience to adversarial changes.

Chang Dong, Zhengyang Li, Liangwei Zheng

2025-06-09T22:08:04+00:00 ― 6 min read

Machine Learning Causal Representation Learning: Uncovering Hidden Patterns

A closer look at how CRL identifies causal relationships in data.

Dingling Yao, Dario Rancati, Riccardo Cadei

2025-06-09T21:18:00+00:00 ― 6 min read

Neurons and Cognition Neural Timescales: How the Brain Processes Information

Examining the rates at which the brain's nerve cells process information.

Roxana Zeraati, Anna Levina, Jakob H. Macke

2025-06-09T20:27:56+00:00 ― 10 min read

Machine Learning Using Conformal Prediction in Biological Systems

A look at how conformal prediction improves uncertainty quantification in biology.

Alberto Portela, Julio R. Banga, Marcos Matabuena

2025-06-09T19:37:52+00:00 ― 8 min read

Machine Learning Advancing Time Series Analysis with NEMoTS

A new method improves time series analysis using symbolic regression and tree search techniques.

Yi Xie, Tianyu Qiu, Yun Xiong

2025-06-09T13:47:24+00:00 ― 5 min read

Methodology Estimating Causal Effects in Complex Networks

This article explains methods for estimating causal effects in networks with hidden variables.

Anna Guo, Razieh Nabi

2025-06-09T12:57:20+00:00 ― 5 min read

Machine Learning A New Model for Analyzing Time-Based Data

This model improves analysis of unevenly spaced time-based data across various fields.

Sheng Cheng, Deqian Kong, Jianwen Xie

2025-06-09T11:17:12+00:00 ― 6 min read

Machine Learning Understanding Learning Dynamics in Neural Networks

A look at how neural networks learn and adapt over time.

Christian Schmid, James M. Murray

2025-06-09T09:37:04+00:00 ― 5 min read

Machine Learning Improving Machine Learning with Iterative Thresholding

A method to enhance machine learning models dealing with corrupted data.

Arvind Rathnashyam, Alex Gittens

2025-06-09T08:47:00+00:00 ― 5 min read

Machine Learning The Newsvendor Problem: Inventory Decisions Under Uncertainty

A look into managing inventory when demand is unpredictable.

Zhuoxin Chen, Will Ma

2025-06-09T07:56:56+00:00 ― 5 min read

Machine Learning Navigating Uncertainty in Business Decisions

Strategies for making smarter choices under uncertain conditions.

Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas

2025-06-09T07:06:52+00:00 ― 5 min read

Machine Learning Addressing Challenges in Reinforcement Learning with Robust Q-Learning

Improving Q-learning performance amid corrupted feedback in real-world applications.

Sreejeet Maity, Aritra Mitra

2025-06-09T06:16:48+00:00 ― 6 min read

Machine Learning Understanding Restless Multi-Armed Bandits

A look at decision-making in dynamic environments using restless bandit strategies.

Vishesh Mittal, Rahul Meshram, Surya Prakash

2025-06-08T21:06:04+00:00 ― 6 min read

Machine Learning Advancing Operator Learning with Machine Learning Techniques

This article discusses how combining methods improves operator learning effectiveness.

Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi

2025-06-08T20:16:00+00:00 ― 6 min read

Machine Learning Evaluating Treatment Effects in Early Literacy Programs

Analyzing treatment effects of a literacy program with new methods and data insights.

R. Teal Witter, Christopher Musco

2025-06-08T19:25:56+00:00 ― 6 min read

Machine Learning Enhancing Neural Network Training with Nowcasting

A new approach improves neural network training speed and efficiency using nowcasting.

Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie

2025-06-08T18:35:52+00:00 ― 4 min read

Machine Learning Enhancing Algorithms with Data-Driven Design

Learn how data shapes algorithm performance through tuning and real-time adaptation.

Maria-Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma

2025-06-08T17:45:48+00:00 ― 6 min read

Machine Learning Leveraging Machine Learning for Official Statistics

Machine learning improves the production and accuracy of official statistics.

Marco Puts, David Salgado, Piet Daas

2025-06-08T16:55:44+00:00 ― 5 min read

Machine Learning Combining Expert Insights for Better Learning

A new method enhances learning by integrating expert knowledge for improved estimates.

Getachew K Befekadu

2025-06-08T16:05:40+00:00 ― 5 min read

Machine Learning Amortized Bayesian Inference: A New Approach

Combining deep learning with Bayesian inference for efficient posterior estimation.

Marvin Schmitt, Chengkun Li, Aki Vehtari

2025-06-08T15:15:36+00:00 ― 5 min read

Data Structures and Algorithms Improving Sampling from Log-Concave Distributions

New methods enhance efficiency in sampling log-concave distributions within polytopes.

Oren Mangoubi, Nisheeth K. Vishnoi

2025-06-08T14:25:32+00:00 ― 5 min read

Machine Learning Measuring Uncertainty in Graph Predictions

A new method improves uncertainty quantification for graph data predictions.

Clemens Damke, Eyke Hüllermeier

2025-06-08T12:45:24+00:00 ― 7 min read

Econometrics Improving Causal Inference with Calibration Methods

A study on using calibration methods to enhance causal inference in machine learning.

Daniele Ballinari, Nora Bearth

2025-06-08T10:15:12+00:00 ― 4 min read

Machine Learning Understanding Model Complexity in Machine Learning

A look into effective dimension and its impact on model training.

Moosa Saghir, N. R. Raghavendra, Zihe Liu

2025-06-08T09:25:08+00:00 ― 6 min read

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