430 citations · 985 across the 29 of their papers we have counts for
5 papers · 1 filter
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection
Kush Bhatia, Nikki Lijing Kuang, Yi-An Ma +1
Variational inference has recently emerged as a popular alternative to the classical Markov chain Monte Carlo (MCMC) in large-scale Bayesian inference. The core idea is to trade st…
Multi-fidelity Hierarchical Neural Processes
Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani +2
Science and engineering fields use computer simulation extensively. These simulations are often run at multiple levels of sophistication to balance accuracy and efficiency. Multi-f…
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu, Stephen Bates, Yi Ma +1
Uncertainty quantification is essential for the reliable deployment of machine learning models to high-stakes application domains. Uncertainty quantification is all the more challe…
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization
Yi-An Ma, Teodor Vanislavov Marinov, Tong Zhang
This paper considers the generalization performance of differentially private convex learning. We demonstrate that the convergence analysis of Langevin algorithms can be used to ob…
On Optimal Early Stopping: Over-informative versus Under-informative Parametrization
Ruoqi Shen, Liyao Gao, Yi-An Ma
Early stopping is a simple and widely used method to prevent over-training neural networks. We develop theoretical results to reveal the relationship between the optimal early stop…