6 papers
The Multiplicative Instrumental Variable Model
Jiewen Liu, Chan Park, Yonghoon Lee +4
The instrumental variable (IV) design is a common approach to address hidden confounding bias. For validity, an IV must impact the outcome only through its association with the tre…
Bias mitigation in graph diffusion models
Meng Yu, Kun Zhan
Most existing graph diffusion models have significant bias problems. We observe that the forward diffusion's maximum perturbation distribution in most models deviates from the stan…
A Multiplicative Instrumental Variable Model for Data Missing Not-at-Random
Yunshu Zhang, Chan Park, Jiewen Liu +4
Instrumental variable (IV) methods offer a valuable approach to account for outcome data missing not-at-random. A valid missing data instrument is a measured factor which (i) predi…
Inference on Nonlinear Counterfactual Functionals under a Multiplicative IV Model
Yonghoon Lee, Mengxin Yu, Jiewen Liu +4
Instrumental variable (IV) methods play a central role in causal inference, particularly in settings where treatment assignment is confounded by unobserved variables. IV methods ha…
Frequency Regulation for Exposure Bias Mitigation in Diffusion Models
Meng Yu, Kun Zhan
Diffusion models exhibit impressive generative capabilities but are significantly impacted by exposure bias. In this paper, we make a key observation: the energy of predicted noisy…
Sharp extinction rates for positive solutions of fast diffusion equations
Tobias König, Meng Yu
Let and . It is known that positive solutions to the (fractional) fast diffusion equation on $(0, \infty)…