Tag: stat.AP

#stat.AP

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Academic · 1 min

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning

arXiv:2604.00344v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable performance in completing various tasks. However, solving complex problems often requires the coordination …

Eric Hanchen Jiang, Levina Li, Rui Sun, Xiao Liang, Yubei Li, Yuchen Wu, Haozheng Luo, Hengli Li, Zhi Zhang, Zhaolu Kang, Kai-Wei Chang, Ying Nian Wu

0 views Apr 3

Academic · 1 min

ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment

arXiv:2603.23184v1 Announce Type: new Abstract: Reward modeling represents a long-standing challenge in reinforcement learning from human feedback (RLHF) for aligning language models. Current reward modeling …

Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin

4 views Mar 25

Academic · 1 min

Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm

arXiv:2603.22302v1 Announce Type: new Abstract: With the development of information technology, the application of artificial intelligence and machine learning in the field of education shows …

Qianru Wei, Jihaoyu Yang, Cheng Zhang, Jinming Yang

13 views Mar 25

Academic · 1 min

Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation

arXiv:2603.22320v1 Announce Type: new Abstract: While climate models provide insights for climate decision-making, their use is constrained by significant computational and technical demands. Although machine …

Luca Schmidt, Nina Effenberger

9 views Mar 25

Academic · 1 min

Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention

arXiv:2603.16937v1 Announce Type: new Abstract: Sleep quality is influenced by a complex interplay of behavioral, environmental, and psychosocial factors, yet most computational studies focus mainly …

Mahfuz Ahmed Anik, Mohsin Mahmud Topu, Azmine Toushik Wasi, Md Isfar Khan, MD Manjurul Ahsan

13 views Mar 19

Academic · 1 min

Longitudinal Risk Prediction in Mammography with Privileged History Distillation

arXiv:2603.15814v1 Announce Type: new Abstract: Breast cancer remains a leading cause of cancer-related mortality worldwide. Longitudinal mammography risk prediction models improve multi-year breast cancer risk …

Banafsheh Karimian, Alexis Guichemerre, Soufiane Belharbi, Natacha Gillet, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger

6 views Mar 18

Academic · 1 min

Teleodynamic Learning a new Paradigm For Interpretable AI

arXiv:2603.11355v1 Announce Type: new Abstract: We introduce Teleodynamic Learning, a new paradigm for machine learning in which learning is not the minimization of a fixed …

Enrique ter Horst, Juan Diego Zambrano

7 views Mar 13

Academic · 1 min

Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism

arXiv:2603.06212v1 Announce Type: new Abstract: Differential diagnosis among parkinsonian syndromes remains a clinical challenge due to overlapping motor symptoms and subtle gait abnormalities. Accurate differentiation …

Jhonathan Barrios, Wolfram Erlhagen, Miguel F. Gago, Estela Bicho, Flora Ferreira

10 views Mar 9

Academic · 1 min

A Comparative Study of UMAP and Other Dimensionality Reduction Methods

arXiv:2603.02275v1 Announce Type: new Abstract: Uniform Manifold Approximation and Projection (UMAP) is a widely used manifold learning technique for dimensionality reduction. This paper studies UMAP, …

Guanzhe Zhang, Shanshan Ding, Zhezhen Jin

13 views Mar 5

Academic · 1 min

Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare

arXiv:2603.00192v1 Announce Type: new Abstract: In healthcare, predictive models increasingly inform patient-level decisions, yet little attention is paid to the variability in individual risk estimates …

Elizabeth W. Miller, Jeffrey D. Blume

7 views Mar 4

Academic · 1 min

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package

arXiv:2602.23507v1 Announce Type: new Abstract: Background: Clinical prediction models are increasingly used to inform healthcare decisions, but determining the minimum sample size for their development …

Diana Shamsutdinova, Felix Zimmer, Oyebayo Ridwan Olaniran, Sarah Markham, Daniel Stahl, Gordon Forbes, Ewan Carr

14 views Mar 3

Academic · 1 min

Decomposing Physician Disagreement in HealthBench

arXiv:2602.22758v1 Announce Type: new Abstract: We decompose physician disagreement in the HealthBench medical AI evaluation dataset to understand where variance resides and what observable features …

Satya Borgohain, Roy Mariathas

18 views Mar 1

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#stat.AP

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning

ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment

Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm

Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation

Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention

Longitudinal Risk Prediction in Mammography with Privileged History Distillation

Teleodynamic Learning a new Paradigm For Interpretable AI

Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism

A Comparative Study of UMAP and Other Dimensionality Reduction Methods

Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package

Decomposing Physician Disagreement in HealthBench

JCG, PC

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