Cover Image

Neural Generative Distributional Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chai, Jinhang, Fan, Jianqing, Gu, Yihong
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMART Fine-tuning Factor Augmented Neural Lasso
by: Chai, Jinhang, et al.
Published: (2026)

Optimal Semiparametric Dynamic Pricing with Feature Diversity
by: Chai, Jinhang, et al.
Published: (2026)

Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
by: Gu, Yihong, et al.
Published: (2024)

Factor Augmented Matrix Regression
by: Chen, Elynn, et al.
Published: (2024)

CINDES: Classification induced neural density estimator and simulator
by: Dai, Dehao, et al.
Published: (2025)

Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization
by: Gu, Yihong, et al.
Published: (2025)

Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)

Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)

Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
by: Liu, Wenyang, et al.
Published: (2024)

Factor and Idiosyncratic VAR Volatility Matrix Models for Heavy-Tailed High-Frequency Financial Observations
by: Shin, Minseok, et al.
Published: (2021)

Uncertainty Quantification for Ranking with Heterogeneous Preferences
by: Fan, Jianqing, et al.
Published: (2025)

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
by: Chai, Jinhang, et al.
Published: (2025)

Multi-transport Distributional Regression
by: Chen, Yuanying, et al.
Published: (2026)

Semi-parametric TEnsor Factor Analysis by Iteratively Projected Singular Value Decomposition
by: Chen, Elynn Y., et al.
Published: (2020)

Distributional Off-Policy Evaluation with Deep Quantile Process Regression
by: Kuang, Qi, et al.
Published: (2026)

Robust Spatio-Temporal Distributional Regression
by: Momozaki, Tomotaka, et al.
Published: (2025)

Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
by: Fan, Jianqing, et al.
Published: (2023)

Distribution Regression with Censored Selection
by: Fernandez-Val, Ivan, et al.
Published: (2025)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)

Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)

Truly Multivariate Structured Additive Distributional Regression
by: Kock, Lucas, et al.
Published: (2023)

Generalized Rank Regression
by: Tu, Jiyuan, et al.
Published: (2026)

Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
by: Kim, Kaheon, et al.
Published: (2026)

Bayesian Latent Class Regression with Interpretable Binary Profiles
by: Zhou, Yuren, et al.
Published: (2025)

Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)

Stagewise Boosting Distributional Regression
by: Wetscher, Mattias, et al.
Published: (2024)

Distribution-in-distribution-out Regression
by: Chen, Xiaoyu, et al.
Published: (2024)

Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)

Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects
by: Zhan, Tianyu, et al.
Published: (2025)

Tight Distribution-Free Confidence Intervals for Local Quantile Regression
by: Jang, Jayoon, et al.
Published: (2023)

Distribution-Free Prediction Sets for Regression under Target Shift
by: Yi, Menghan, et al.
Published: (2025)

Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)

Causal Inference under Interference: Regression Adjustment and Optimality
by: Fan, Xinyuan, et al.
Published: (2025)

Bayesian Additive Regression Tree Copula Processes for Scalable Distributional Prediction
by: Wenkel, Jan Martin, et al.
Published: (2026)

Low-Rank Regularization of Global Fréchet Regression Models for Distributional Responses
by: Han, Kyunghee, et al.
Published: (2025)

Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses
by: Sanchez, Guillermo Briseño, et al.
Published: (2024)