5 citations · 8 across the 12 of their papers we have counts for
12 papers
Adaptive discovery of effect modification in matched observational studies
Yu Gui, Dylan S Small, Zhimei Ren
Understanding effect modification -- how treatment effects vary across subpopulations -- is practically important in observational studies, as it helps identify which subgroups are…
IndiSeek learns information-guided disentangled representations
Yu Gui, Cong Ma, Zongming Ma
Learning disentangled representations is a fundamental task in multi-modal learning. In modern applications such as single-cell multi-omics, both shared and modality-specific featu…
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
Yu Gui, Cong Ma, Zongming Ma
Multi-modal contrastive learning as a self-supervised representation learning technique has achieved great success in foundation model training, such as CLIP~\citep{radford2021lear…
Statistical Equilibrium of Optimistic Beliefs
Yu Gui, Bahar Taşkesen
We study finite normal-form games in which payoffs are subject to random perturbations and players face uncertainty about how these shocks co-move across actions, an ambiguity that…
Conformal Prediction: A Data Perspective
Xiaofan Zhou, Baiting Chen, Yu Gui +1
Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework, reliably provides valid predictive inference for black-box models. CP constructs predictio…
Distributionally robust risk evaluation with an isotonic constraint
Yu Gui, Rina Foygel Barber, Cong Ma
Statistical learning under distribution shift is challenging when neither prior knowledge nor fully accessible data from the target distribution is available. Distributionally robu…