Saved in:
| Main Authors: | F., Paulo C. Marques, Artes, Rinaldo, Graziadei, Helton |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.24145 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Skew-adaptive conformal prediction
by: F., Paulo C. Marques, et al.
Published: (2026)
by: F., Paulo C. Marques, et al.
Published: (2026)
Conformal prediction for frequency-severity modeling
by: Graziadei, Helton, et al.
Published: (2023)
by: Graziadei, Helton, et al.
Published: (2023)
Conformal Prediction via Transported Beta Laws
by: Ramos, Thiago R., et al.
Published: (2026)
by: Ramos, Thiago R., et al.
Published: (2026)
Design-based conformal prediction
by: Wieczorek, Jerzy
Published: (2023)
by: Wieczorek, Jerzy
Published: (2023)
Targeted tuning of random forests for quantile estimation and prediction intervals
by: Berkowitz, Matthew, et al.
Published: (2025)
by: Berkowitz, Matthew, et al.
Published: (2025)
Powerful batch conformal prediction for classification
by: Gazin, Ulysse, et al.
Published: (2024)
by: Gazin, Ulysse, et al.
Published: (2024)
Online conformal prediction with decaying step sizes
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
Stacked conformal prediction
by: F, Paulo C. Marques
Published: (2025)
by: F, Paulo C. Marques
Published: (2025)
Online scalable Gaussian processes with conformal prediction for guaranteed coverage
by: Xu, Jinwen, et al.
Published: (2024)
by: Xu, Jinwen, et al.
Published: (2024)
Tail allocation for conformal prediction intervals
by: Wang, Tianying
Published: (2026)
by: Wang, Tianying
Published: (2026)
Large language model validity via enhanced conformal prediction methods
by: Cherian, John J., et al.
Published: (2024)
by: Cherian, John J., et al.
Published: (2024)
Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
by: Pion, Aurélien, et al.
Published: (2025)
by: Pion, Aurélien, et al.
Published: (2025)
Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)
by: Young, Elliot H., et al.
Published: (2025)
Gaussian process interpolation with conformal prediction: methods and comparative analysis
by: Pion, Aurélien, et al.
Published: (2024)
by: Pion, Aurélien, et al.
Published: (2024)
Fréchet random forests for metric space valued regression with non euclidean predictors
by: Capitaine, Louis, et al.
Published: (2019)
by: Capitaine, Louis, et al.
Published: (2019)
Random forests for binary geospatial data
by: Saha, Arkajyoti, et al.
Published: (2023)
by: Saha, Arkajyoti, et al.
Published: (2023)
Universal distribution of the empirical coverage in split conformal prediction
by: F, Paulo C. Marques
Published: (2023)
by: F, Paulo C. Marques
Published: (2023)
Transductive conformal inference with adaptive scores
by: Gazin, Ulysse, et al.
Published: (2023)
by: Gazin, Ulysse, et al.
Published: (2023)
ACS: An interactive framework for conformal selection
by: Gui, Yu, et al.
Published: (2025)
by: Gui, Yu, et al.
Published: (2025)
Class conditional conformal prediction for multiple inputs by p-value aggregation
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
by: Barreñada, Lasai, et al.
Published: (2024)
by: Barreñada, Lasai, et al.
Published: (2024)
missForestPredict -- Missing data imputation for prediction settings
by: Albu, Elena, et al.
Published: (2024)
by: Albu, Elena, et al.
Published: (2024)
A U-Statistic-based random forest approach for genetic interaction study
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
by: van Amsterdam, Wouter A. C.
Published: (2024)
by: van Amsterdam, Wouter A. C.
Published: (2024)
Actuarial Learning for Pension Fund Mortality Forecasting
by: de Melo, Eduardo Fraga L., et al.
Published: (2025)
by: de Melo, Eduardo Fraga L., et al.
Published: (2025)
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
by: Karlsson, Rickard, et al.
Published: (2025)
by: Karlsson, Rickard, et al.
Published: (2025)
Adaptive conformal classification with noisy labels
by: Sesia, Matteo, et al.
Published: (2023)
by: Sesia, Matteo, et al.
Published: (2023)
Targeting relative risk heterogeneity with causal forests
by: Shirvaikar, Vik, et al.
Published: (2023)
by: Shirvaikar, Vik, et al.
Published: (2023)
Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
by: van de Wiel, Mark A., et al.
Published: (2024)
by: van de Wiel, Mark A., et al.
Published: (2024)
Inductive randomness predictors: beyond conformal
by: Vovk, Vladimir
Published: (2025)
by: Vovk, Vladimir
Published: (2025)
Principal component analysis balancing prediction and approximation accuracy for spatial data
by: Cheng, Si, et al.
Published: (2024)
by: Cheng, Si, et al.
Published: (2024)
Formalising causal inference as prediction on a target population
by: Höltgen, Benedikt, et al.
Published: (2024)
by: Höltgen, Benedikt, et al.
Published: (2024)
When accurate prediction models yield harmful self-fulfilling prophecies
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
Projection Pursuit Density Ratio Estimation
by: Wang, Meilin, et al.
Published: (2025)
by: Wang, Meilin, et al.
Published: (2025)
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)
by: Balzer, Laura B., et al.
Published: (2025)
Theoretical guarantees for change localization using conformal p-values
by: Bhattacharyya, Swapnaneel, et al.
Published: (2025)
by: Bhattacharyya, Swapnaneel, et al.
Published: (2025)
Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
by: Das, Pramit, et al.
Published: (2025)
by: Das, Pramit, et al.
Published: (2025)
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020)
by: John, Luis H., et al.
Published: (2020)
Holdouts set for safe predictive model updating
by: Haidar-Wehbe, Sami, et al.
Published: (2022)
by: Haidar-Wehbe, Sami, et al.
Published: (2022)
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
by: Van Calster, Ben, et al.
Published: (2024)
by: Van Calster, Ben, et al.
Published: (2024)
Similar Items
-
Skew-adaptive conformal prediction
by: F., Paulo C. Marques, et al.
Published: (2026) -
Conformal prediction for frequency-severity modeling
by: Graziadei, Helton, et al.
Published: (2023) -
Conformal Prediction via Transported Beta Laws
by: Ramos, Thiago R., et al.
Published: (2026) -
Design-based conformal prediction
by: Wieczorek, Jerzy
Published: (2023) -
Targeted tuning of random forests for quantile estimation and prediction intervals
by: Berkowitz, Matthew, et al.
Published: (2025)