Generative Regression with IQ-BART
Fuente:
arXiv
Saved in:
| Main Authors: | O'Hagan, Sean, Ročková, Veronika |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI-Powered Bayesian Inference
by: O'Hagan, Sean, et al.
Published: (2025)
by: O'Hagan, Sean, et al.
Published: (2025)
Tree Bandits for Generative Bayes
by: O'Hagan, Sean, et al.
Published: (2024)
by: O'Hagan, Sean, et al.
Published: (2024)
Generative Bayesian Filtering and Parameter Learning
by: Marcelli, Edoardo, et al.
Published: (2025)
by: Marcelli, Edoardo, et al.
Published: (2025)
Adaptive Uncertainty Quantification for Generative AI
by: Kim, Jungeum, et al.
Published: (2024)
by: Kim, Jungeum, et al.
Published: (2024)
Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)
by: Wang, Yuexi, et al.
Published: (2022)
Empirical Likelihood with Generative AI
by: Li, Jiguang, et al.
Published: (2026)
by: Li, Jiguang, et al.
Published: (2026)
Deep Bayes Factors
by: Kim, Jungeum, et al.
Published: (2023)
by: Kim, Jungeum, et al.
Published: (2023)
A Dirichlet stochastic block model for composition-weighted networks
by: Promskaia, Iuliia, et al.
Published: (2024)
by: Promskaia, Iuliia, et al.
Published: (2024)
Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks
by: Promskaia, Iuliia, et al.
Published: (2024)
by: Promskaia, Iuliia, et al.
Published: (2024)
Deep Generative Quantile Bayes
by: Kim, Jungeum, et al.
Published: (2024)
by: Kim, Jungeum, et al.
Published: (2024)
Sparse Bayesian Multidimensional Item Response Theory
by: Li, Jiguang, et al.
Published: (2023)
by: Li, Jiguang, et al.
Published: (2023)
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
Supercharging Bayesian Inference with Reliable AI-Informed Priors
by: Choi, Jongwoo, et al.
Published: (2026)
by: Choi, Jongwoo, et al.
Published: (2026)
An Infinite BART model
by: Battiston, Marco, et al.
Published: (2025)
by: Battiston, Marco, et al.
Published: (2025)
flexBART: Flexible Bayesian regression trees with categorical predictors
by: Deshpande, Sameer K.
Published: (2022)
by: Deshpande, Sameer K.
Published: (2022)
Probit Monotone BART
by: Fisher, Jared D.
Published: (2025)
by: Fisher, Jared D.
Published: (2025)
Horseshoe Predictive Inference
by: Zhai, Percy S., et al.
Published: (2026)
by: Zhai, Percy S., et al.
Published: (2026)
Deep Computerized Adaptive Testing
by: Li, Jiguang, et al.
Published: (2025)
by: Li, Jiguang, et al.
Published: (2025)
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
by: Wu, Anpeng, et al.
Published: (2024)
by: Wu, Anpeng, et al.
Published: (2024)
Learning to Simulate: Generative Metamodeling via Quantile Regression
by: Hong, L. Jeff, et al.
Published: (2023)
by: Hong, L. Jeff, et al.
Published: (2023)
High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression
by: Zhao, Yihan, et al.
Published: (2025)
by: Zhao, Yihan, et al.
Published: (2025)
Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)
by: Londschien, Malte, et al.
Published: (2025)
Semiparametric Counterfactual Regression
by: Kim, Kwangho
Published: (2025)
by: Kim, Kwangho
Published: (2025)
Deep Fréchet Regression
by: Iao, Su I, et al.
Published: (2024)
by: Iao, Su I, et al.
Published: (2024)
A variational Bayes latent class approach for EHR-based patient phenotyping in R
by: Buckley, Brian, et al.
Published: (2025)
by: Buckley, Brian, et al.
Published: (2025)
Robust Tensor-on-Tensor Regression
by: Hirari, Mehdi, et al.
Published: (2026)
by: Hirari, Mehdi, et al.
Published: (2026)
Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)
by: Linero, Antonio R., et al.
Published: (2026)
CP Degeneracy in Tensor Regression
by: Zhou, Ya, et al.
Published: (2020)
by: Zhou, Ya, et al.
Published: (2020)
Stagewise Boosting Distributional Regression
by: Wetscher, Mattias, et al.
Published: (2024)
by: Wetscher, Mattias, et al.
Published: (2024)
Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)
by: Pegoraro, Marco, et al.
Published: (2023)
Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026)
by: Kondo, Daisuke, et al.
Published: (2026)
Variance prior forms for high-dimensional Bayesian variable selection
by: Moran, Gemma E., et al.
Published: (2018)
by: Moran, Gemma E., et al.
Published: (2018)
Bootstrap aggregation and confidence measures to improve time series causal discovery
by: Debeire, Kevin, et al.
Published: (2023)
by: Debeire, Kevin, et al.
Published: (2023)
Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)
by: Wu, Zhanli, et al.
Published: (2025)
Total robustness in Bayesian Nonlinear Regression
by: Chen, Mengqi, et al.
Published: (2025)
by: Chen, Mengqi, et al.
Published: (2025)
Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
F-measure Maximizing Logistic Regression
by: Okabe, Masaaki, et al.
Published: (2019)
by: Okabe, Masaaki, et al.
Published: (2019)
Transfer Learning for Kernel-based Regression
by: Wang, Chao, et al.
Published: (2023)
by: Wang, Chao, et al.
Published: (2023)
Bagged Polynomial Regression and Neural Networks
by: Klosin, Sylvia, et al.
Published: (2022)
by: Klosin, Sylvia, et al.
Published: (2022)
A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2025)
by: Alcantara, Rafael, et al.
Published: (2025)
Similar Items
-
AI-Powered Bayesian Inference
by: O'Hagan, Sean, et al.
Published: (2025) -
Tree Bandits for Generative Bayes
by: O'Hagan, Sean, et al.
Published: (2024) -
Generative Bayesian Filtering and Parameter Learning
by: Marcelli, Edoardo, et al.
Published: (2025) -
Adaptive Uncertainty Quantification for Generative AI
by: Kim, Jungeum, et al.
Published: (2024) -
Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)