11 citations · 11 across the 3 of their papers we have counts for
18 papers
Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness
Tengyuan Liang
Treatment effect distributions are not identified without restrictions on the joint distribution of potential outcomes. Existing approaches either impose rank preservation -- a str…
Distributional Shrinkage II: Higher-Order Scores Encode Brenier Map
Tengyuan Liang
Consider the additive Gaussian model , where is an unknown signal, is independent of , and is known. Let denote the law of .…
Distributional Shrinkage I: Universal Denoiser Beyond Tweedie's Formula
Tengyuan Liang
We study the problem of denoising when only the noise level is known, not the noise distribution. Independent noise corrupts a signal , yielding the observation …
No-Regret Generative Modeling via Parabolic Monge-Ampère PDE
Nabarun Deb, Tengyuan Liang
We introduce a novel generative modeling framework based on a discretized parabolic Monge-Ampère PDE, which emerges as a continuous limit of the Sinkhorn algorithm commonly used in…
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
Wenxuan Guo, Tengyuan Liang, Panos Toulis
Achieving covariate balance in randomized experiments enhances the precision of treatment effect estimation. However, existing methods often require heuristic adjustments based on…
Temporal Wasserstein Imputation: A Versatile Method for Time Series Imputation
Shuo-Chieh Huang, Tengyuan Liang, Ruey S. Tsay
Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we introduce temporal Wasserstein imputation, a novel…