Cover Image

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Changchang, Chen, Hong-You, Chao, Wei-Lun, Zhang, Ping
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence K.3.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semi-Implicit Neural Ordinary Differential Equations
by: Zhang, Hong, et al.
Published: (2024)

Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
by: Zadem, Mehdi, et al.
Published: (2023)

AI-ANNE: (A) (N)eural (N)et for (E)xploration: Transferring Deep Learning Models onto Microcontrollers and Embedded Systems
by: Klinkhammer, Dennis
Published: (2025)

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile
by: Maurino, Andrea
Published: (2026)

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
by: Wang, Tianyu, et al.
Published: (2024)

The Evolving Usage of GenAI by Computing Students
by: Hou, Irene, et al.
Published: (2024)

The Vibe-Automation of Automation: A Proactive Education Framework for Computer Science in the Age of Generative AI
by: Levin, Ilya
Published: (2026)

Coding With AI: From a Reflection on Industrial Practices to Future Computer Science and Software Engineering Education
by: Chang, Hung-Fu, et al.
Published: (2025)

AI for non-programmers: Applied AI in the lectures for students without programming skills
by: Schöning, Julius, et al.
Published: (2024)

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems
by: Olukola, Oluseyi, et al.
Published: (2026)

Cyber Humanism in Education: Reclaiming Agency through AI and Learning Sciences
by: Adorni, Giovanni
Published: (2025)

CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education
by: Wang, Tianyu, et al.
Published: (2025)

Easy Come, Easy Go? Examining the Perceptions and Learning Effects of LLM-based Chatbot in the Context of Search-as-Learning
by: Yang, Yeonsun, et al.
Published: (2024)

Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning
by: Hoq, Muntasir, et al.
Published: (2025)

An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network
by: Schwartz, Donald R., et al.
Published: (2024)

Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus
by: Ngo, Tuan-Phong, et al.
Published: (2025)

Evaluating LLMs for Career Guidance: Comparative Analysis of Computing Competency Recommendations Across Ten African Countries
by: Eze, Precious, et al.
Published: (2025)

AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review
by: Gu, Xingjian, et al.
Published: (2025)

Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming
by: Alkafaween, Umar, et al.
Published: (2024)

Ensemble ToT of LLMs and Its Application to Automatic Grading System for Supporting Self-Learning
by: Ito, Yuki, et al.
Published: (2025)

AI-PACE: A Framework for Integrating AI into Medical Education
by: McGrath, Scott P., et al.
Published: (2026)

An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions
by: Feng, Tony Haoran, et al.
Published: (2024)

MC-CPO: Mastery-Conditioned Constrained Policy Optimization
by: Olukola, Oluseyi, et al.
Published: (2026)

Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education
by: Beale, Russell
Published: (2025)

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
by: Zheng, Tian
Published: (2025)

Owlgorithm: Supporting Self-Regulated Learning in Competitive Programming through LLM-Driven Reflection
by: Nieto-Cardenas, Juliana, et al.
Published: (2025)

Quantization Range Estimation for Convolutional Neural Networks
by: Yang, Bingtao, et al.
Published: (2025)

Simulated Human Learning in a Dynamic, Partially-Observed, Time-Series Environment
by: Jiang, Jeffrey, et al.
Published: (2025)

Mitigating Spurious Correlations with Causal Logit Perturbation
by: Zhou, Xiaoling, et al.
Published: (2025)

Flow matching-based generative models for MIMO channel estimation
by: Liu, Wenkai, et al.
Published: (2025)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
by: Elkhodr, Mahmoud, et al.
Published: (2025)

From Domain Understanding to Design Readiness: a playbook for GenAI-supported learning in Software Engineering
by: Wlodarski, Rafal
Published: (2026)

A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks
by: Urdeitx, Pau, et al.
Published: (2024)

Can AI Lower the Barrier to Cybersecurity? A Human-Centered Mixed-Methods Study of Novice CTF Learning
by: Schachner, Cathrin, et al.
Published: (2026)

Adapting to time: Why nature may have evolved a diverse set of neurons
by: Habashy, Karim G., et al.
Published: (2024)

Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
by: Bajaj, Chandrajit, et al.
Published: (2022)

Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)
by: Suffian, Muhammad, et al.
Published: (2022)

Using Programmable Drone in Educational Projects and Competitions
by: Petrovič, Pavel, et al.
Published: (2024)

Lessons Learned: The Evolution of an Undergraduate Robotics Course in Computer Science
by: Salas, R. Pito
Published: (2024)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)