Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Tsoumas, Ilias, Bormpoudakis, Dimitrios, Sitokonstantinou, Vasileios, Askitopoulos, Athanasios, Kalogeras, Andreas, Kontoes, Charalampos, Athanasiadis, Ioannis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation
by: Kontogiorgakis, Ioannis, et al.
Published: (2026)
by: Kontogiorgakis, Ioannis, et al.
Published: (2026)
Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery
by: Kalogeras, Andreas, et al.
Published: (2025)
by: Kalogeras, Andreas, et al.
Published: (2025)
Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data
by: Kontogiorgakis, Ioannis, et al.
Published: (2025)
by: Kontogiorgakis, Ioannis, et al.
Published: (2025)
Causal machine learning for sustainable agroecosystems
by: Sitokonstantinou, Vasileios, et al.
Published: (2024)
by: Sitokonstantinou, Vasileios, et al.
Published: (2024)
Cloud gap-filling with deep learning for improved grassland monitoring
by: Tsardanidis, Iason, et al.
Published: (2024)
by: Tsardanidis, Iason, et al.
Published: (2024)
Angular Regularization for Positive-Unlabeled Learning on the Hypersphere
by: Sevetlidis, Vasileios, et al.
Published: (2025)
by: Sevetlidis, Vasileios, et al.
Published: (2025)
Assessing the Causal Impact of Humanitarian Aid on Food Security
by: Cerdà-Bautista, Jordi, et al.
Published: (2023)
by: Cerdà-Bautista, Jordi, et al.
Published: (2023)
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data
by: Pitsiorlas, Ioannis, et al.
Published: (2024)
by: Pitsiorlas, Ioannis, et al.
Published: (2024)
Prior Learning in Introspective VAEs
by: Athanasiadis, Ioannis, et al.
Published: (2024)
by: Athanasiadis, Ioannis, et al.
Published: (2024)
In-Context Positive-Unlabeled Learning
by: Liu, Siyan, et al.
Published: (2026)
by: Liu, Siyan, et al.
Published: (2026)
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by: Liu, Siyan, et al.
Published: (2024)
by: Liu, Siyan, et al.
Published: (2024)
Positive Unlabeled Contrastive Learning
by: Acharya, Anish, et al.
Published: (2022)
by: Acharya, Anish, et al.
Published: (2022)
Automated Machine Learning for Positive-Unlabelled Learning
by: Saunders, Jack D., et al.
Published: (2024)
by: Saunders, Jack D., et al.
Published: (2024)
Model Stitching by Functional Latent Alignment
by: Athanasiadis, Ioannis, et al.
Published: (2025)
by: Athanasiadis, Ioannis, et al.
Published: (2025)
Next day fire prediction via semantic segmentation
by: Alexis, Konstantinos, et al.
Published: (2024)
by: Alexis, Konstantinos, et al.
Published: (2024)
Applications of Positive Unlabeled (PU) and Negative Unlabeled (NU) Learning in Cybersecurity
by: Dilworth, Robert, et al.
Published: (2024)
by: Dilworth, Robert, et al.
Published: (2024)
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
by: Baja, Hilmy, et al.
Published: (2025)
by: Baja, Hilmy, et al.
Published: (2025)
Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
by: Sygkounas, Alkis, et al.
Published: (2025)
by: Sygkounas, Alkis, et al.
Published: (2025)
Staged Event Trees for Transparent Treatment Effect Estimation
by: Varando, Gherardo, et al.
Published: (2025)
by: Varando, Gherardo, et al.
Published: (2025)
Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy
by: van Bree, Ron, et al.
Published: (2025)
by: van Bree, Ron, et al.
Published: (2025)
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
by: Tsoumplekas, Georgios, et al.
Published: (2024)
by: Tsoumplekas, Georgios, et al.
Published: (2024)
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
by: Yu, Bing, et al.
Published: (2020)
by: Yu, Bing, et al.
Published: (2020)
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
by: Du, Xuefeng, et al.
Published: (2024)
by: Du, Xuefeng, et al.
Published: (2024)
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)
by: Takahashi, Hiroshi, et al.
Published: (2024)
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
by: Li, Zhongnian, et al.
Published: (2024)
by: Li, Zhongnian, et al.
Published: (2024)
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
by: Dorigatti, Emilio, et al.
Published: (2022)
by: Dorigatti, Emilio, et al.
Published: (2022)
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
by: Kou, Zhiqiang, et al.
Published: (2026)
by: Kou, Zhiqiang, et al.
Published: (2026)
Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning
by: Teisseyre, Paweł, et al.
Published: (2024)
by: Teisseyre, Paweł, et al.
Published: (2024)
Breeding Programs Optimization with Reinforcement Learning
by: Younis, Omar G., et al.
Published: (2024)
by: Younis, Omar G., et al.
Published: (2024)
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
by: Morioka, Hiroshi, et al.
Published: (2023)
by: Morioka, Hiroshi, et al.
Published: (2023)
MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction
by: Potze, Aike, et al.
Published: (2026)
by: Potze, Aike, et al.
Published: (2026)
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC
by: Hochbaum, Dorit, et al.
Published: (2025)
by: Hochbaum, Dorit, et al.
Published: (2025)
Heterogeneous Domain Adaptation with Positive and Unlabeled Data
by: Mori, Junki, et al.
Published: (2023)
by: Mori, Junki, et al.
Published: (2023)
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
by: Zhao, Hengwei, et al.
Published: (2025)
by: Zhao, Hengwei, et al.
Published: (2025)
Learning from M-Tuple Dominant Positive and Unlabeled Data
by: Qin, Jiahe, et al.
Published: (2025)
by: Qin, Jiahe, et al.
Published: (2025)
Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data
by: Liu, Jialei, et al.
Published: (2025)
by: Liu, Jialei, et al.
Published: (2025)
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
by: Wang, Xiaoke, et al.
Published: (2024)
by: Wang, Xiaoke, et al.
Published: (2024)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
by: Wu, Yuhao, et al.
Published: (2024)
by: Wu, Yuhao, et al.
Published: (2024)
Similar Items
-
Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation
by: Kontogiorgakis, Ioannis, et al.
Published: (2026) -
Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery
by: Kalogeras, Andreas, et al.
Published: (2025) -
Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data
by: Kontogiorgakis, Ioannis, et al.
Published: (2025) -
Causal machine learning for sustainable agroecosystems
by: Sitokonstantinou, Vasileios, et al.
Published: (2024) -
Cloud gap-filling with deep learning for improved grassland monitoring
by: Tsardanidis, Iason, et al.
Published: (2024)