Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Fuente:
arXiv
Saved in:
| Main Authors: | Jonkers, Jef, Verhaeghe, Jarne, Van Wallendael, Glenn, Duchateau, Luc, Van Hoecke, Sofie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conformal Predictive Systems Under Covariate Shift
by: Jonkers, Jef, et al.
Published: (2024)
by: Jonkers, Jef, et al.
Published: (2024)
Conformal Prediction for Dose-Response Models with Continuous Treatments
by: Verhaeghe, Jarne, et al.
Published: (2024)
by: Verhaeghe, Jarne, et al.
Published: (2024)
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
by: Jonkers, Jef, et al.
Published: (2025)
by: Jonkers, Jef, et al.
Published: (2025)
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
by: Jonkers, Jef, et al.
Published: (2025)
by: Jonkers, Jef, et al.
Published: (2025)
Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
by: Van Der Donckt, Jeroen, et al.
Published: (2024)
by: Van Der Donckt, Jeroen, et al.
Published: (2024)
Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection
by: Van Der Donckt, Jonas, et al.
Published: (2024)
by: Van Der Donckt, Jonas, et al.
Published: (2024)
Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra
by: Deressa, Deressa Wodajo, et al.
Published: (2025)
by: Deressa, Deressa Wodajo, et al.
Published: (2025)
From Haystack to Needle: Label Space Reduction for Zero-shot Classification
by: Vandemoortele, Nathan, et al.
Published: (2025)
by: Vandemoortele, Nathan, et al.
Published: (2025)
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
by: Wang, Baozhen, et al.
Published: (2025)
by: Wang, Baozhen, et al.
Published: (2025)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
by: Cai, Hengrui, et al.
Published: (2024)
by: Cai, Hengrui, et al.
Published: (2024)
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)
by: Liang, Zhongyuan, et al.
Published: (2025)
Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
by: Bose, Swaraj, et al.
Published: (2025)
by: Bose, Swaraj, et al.
Published: (2025)
Intelligent Algorithm Selection for Recommender Systems: Meta-Learning via in-depth algorithm feature engineering
by: Decker, Jarne Mathi
Published: (2025)
by: Decker, Jarne Mathi
Published: (2025)
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
by: Lan, Hui, et al.
Published: (2025)
by: Lan, Hui, et al.
Published: (2025)
Conformal Predictive Distributions for Order Fulfillment Time Forecasting
by: Ye, Tinghan, et al.
Published: (2025)
by: Ye, Tinghan, et al.
Published: (2025)
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Conformal Prediction for Causal Effects of Continuous Treatments
by: Schröder, Maresa, et al.
Published: (2024)
by: Schröder, Maresa, et al.
Published: (2024)
A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges
by: Memmesheimer, Pascal, et al.
Published: (2025)
by: Memmesheimer, Pascal, et al.
Published: (2025)
Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search
by: Pavirani, Fabio, et al.
Published: (2024)
by: Pavirani, Fabio, et al.
Published: (2024)
Copula-based mixture model identification for subgroup clustering with imaging applications
by: Zheng, Fei, et al.
Published: (2025)
by: Zheng, Fei, et al.
Published: (2025)
Algorithm Selection for Recommender Systems via Meta-Learning on Algorithm Characteristics
by: Decker, Jarne Mathi, et al.
Published: (2025)
by: Decker, Jarne Mathi, et al.
Published: (2025)
Conformal Prediction for Signal Temporal Logic Inference
by: Li, Danyang, et al.
Published: (2025)
by: Li, Danyang, et al.
Published: (2025)
Inference-time Unlearning Using Conformal Prediction
by: Chowdhury, Somnath Basu Roy, et al.
Published: (2026)
by: Chowdhury, Somnath Basu Roy, et al.
Published: (2026)
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
by: Moradi, Alireza, et al.
Published: (2025)
by: Moradi, Alireza, et al.
Published: (2025)
Predictive Inference With Fast Feature Conformal Prediction
by: Tang, Zihao, et al.
Published: (2024)
by: Tang, Zihao, et al.
Published: (2024)
Extending Prediction-Powered Inference through Conformal Prediction
by: Csillag, Daniel, et al.
Published: (2025)
by: Csillag, Daniel, et al.
Published: (2025)
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
by: Vargas, Francisco, et al.
Published: (2023)
by: Vargas, Francisco, et al.
Published: (2023)
Fast and Robust Simulation-Based Inference With Optimization Monte Carlo
by: Gkolemis, Vasilis, et al.
Published: (2025)
by: Gkolemis, Vasilis, et al.
Published: (2025)
Estimating Treatment Effects in Networks using Domain Adversarial Training
by: Caljon, Daan, et al.
Published: (2025)
by: Caljon, Daan, et al.
Published: (2025)
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
by: Kim, Sehwan, et al.
Published: (2025)
by: Kim, Sehwan, et al.
Published: (2025)
Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026)
by: Moradi, Alireza, et al.
Published: (2026)
Faster LLM Inference via Sequential Monte Carlo
by: Emara, Yahya, et al.
Published: (2026)
by: Emara, Yahya, et al.
Published: (2026)
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
by: McNamara, Declan, et al.
Published: (2024)
by: McNamara, Declan, et al.
Published: (2024)
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series
by: Yang, Zitong, et al.
Published: (2024)
by: Yang, Zitong, et al.
Published: (2024)
Fusion of Gaussian Processes Predictions with Monte Carlo Sampling
by: Ajirak, Marzieh, et al.
Published: (2024)
by: Ajirak, Marzieh, et al.
Published: (2024)
Context-aware Graph Causality Inference for Few-Shot Molecular Property Prediction
by: Hoang, Van Thuy, et al.
Published: (2026)
by: Hoang, Van Thuy, et al.
Published: (2026)
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches
by: Boisvert, Léo, et al.
Published: (2024)
by: Boisvert, Léo, et al.
Published: (2024)
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
by: Li, Xingyu, et al.
Published: (2025)
by: Li, Xingyu, et al.
Published: (2025)
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors
by: Pinto, Juan D., et al.
Published: (2025)
by: Pinto, Juan D., et al.
Published: (2025)
Similar Items
-
Conformal Predictive Systems Under Covariate Shift
by: Jonkers, Jef, et al.
Published: (2024) -
Conformal Prediction for Dose-Response Models with Continuous Treatments
by: Verhaeghe, Jarne, et al.
Published: (2024) -
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
by: Jonkers, Jef, et al.
Published: (2025) -
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
by: Jonkers, Jef, et al.
Published: (2025) -
Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
by: Van Der Donckt, Jeroen, et al.
Published: (2024)