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Papers
Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context
ACL 2026
Nonparametric Distributional Regression via Quantile Regression
AISTATS 2025
Testing Generalizability in Causal Inference
UAI 2025
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
NeurIPS 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
UAI 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
AISTATS 2024
Vector Quantile Regression on Manifolds
AISTATS 2024
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
JMLR 2022
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
ICML 2020