5 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Variational Goal-Oriented Optimal Experimental Design for Mixed-Distribution Quantities of Interest: Application to Ship Roll Safety
Chen Cheng, Xun Huan, Yulin Pan
Goal-oriented optimal experimental design (GO-OED) selects experiments according to the expected information gain (EIG) about a quantity of interest (QoI) rather than the full para…
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
Chen Cheng, Rina Foygel Barber
We examine the connection between training error and generalization error for arbitrary estimating procedures, working in an overparameterized linear model under general priors in…
Causal-Driven Feature Evaluation for Cross-Domain Image Classification
Chen Cheng, Ang Li
Out-of-distribution (OOD) generalization remains a fundamental challenge in real-world classification, where test distributions often differ substantially from training data. Most…
Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data
Chen Cheng, Rina Foygel Barber
We study concentration inequalities for structured weighted sums of random data, including (i) tensor inner products and (ii) sequential matrix sums. We are interested in tail boun…