511 citations · 968 across the 39 of their papers we have counts for
5 papers · 1 filter
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
Subha Maity, Yuekai Sun, Moulinath Banerjee
We consider the task of meta-analysis in high-dimensional settings in which the data sources are similar but non-identical. To borrow strength across such heterogeneous datasets, w…
Training individually fair ML models with Sensitive Subspace Robustness
Mikhail Yurochkin, Amanda Bower, Yuekai Sun
We consider training machine learning models that are fair in the sense that their performance is invariant under certain sensitive perturbations to the inputs. For example, the pe…
Dirichlet Simplex Nest and Geometric Inference
Mikhail Yurochkin, Aritra Guha, Yuekai Sun +1
We propose Dirichlet Simplex Nest, a class of probabilistic models suitable for a variety of data types, and develop fast and provably accurate inference algorithms by accounting f…
Uniform bounds for invariant subspace perturbations
Anil Damle, Yuekai Sun
For a fixed symmetric matrix A and symmetric perturbation E we develop purely deterministic bounds on how invariant subspaces of A and A+E can differ when measured by a suitable "r…
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan, Byoungwook Jang, Yuekai Sun +1
Estimating conditional dependence graphs and precision matrices are some of the most common problems in modern statistics and machine learning. When data are fully observed, penali…