5 papers
Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression
Xingdong Feng, Xinhong Jiang, Yuling Jiao +2
This work proposes deep nonparametric Instrumental variable quantile regression (IVQR), a two-stage estimator that combines conditional diffusion modeling with a kernel-smoothed co…
Distributional Off-Policy Evaluation with Deep Quantile Process Regression
Qi Kuang, Chao Wang, Yuling Jiao +1
This paper investigates the off-policy evaluation (OPE) problem from a distributional perspective. Rather than focusing solely on the expectation of the total return, as in most ex…
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
Yuling Jiao, Yanming Lai, Huazhen Lin +3
Large Language Models (LLMs) have demonstrated remarkable proficiency across diverse tasks, exhibiting emergent properties such as semantic prompt comprehension, In-Context Learnin…
Deep Bootstrap
Jinyuan Chang, Yuling Jiao, Lican Kang +1
In this work, we propose a novel deep bootstrap framework for nonparametric regression based on conditional diffusion models. Specifically, we construct a conditional diffusion mod…
Latent Schr{ö}dinger Bridge Diffusion Model for Generative Learning
Yuling Jiao, Lican Kang, Huazhen Lin +2
This paper aims to conduct a comprehensive theoretical analysis of current diffusion models. We introduce a novel generative learning methodology utilizing the Schr{ö}dinger bridg…