arXiv Machine Learning August 11, 2026 By Xingdong Feng, Xinhong Jiang, Yuling Jiao, Lican Kang, Junwei Liu

Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression

Read the original on arXiv Machine Learning →

arXiv:2608. 08204v1 Announce Type: cross Abstract: This work proposes deep nonparametric Instrumental variable quantile regression (IVQR), a two-stage estimator that combines conditional diffusion modeling with a kernel-smoothed conditional moment formulation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

diffusion

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llms

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multimodal benchmarks

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Sequential sparse Gaussian process quantile regression

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benchmarks

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Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning

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reinforcement-learning

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