5 citations · 12 across the 7 of their papers we have counts for
7 papers
Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests
Nelvin Tan, Pablo Pascual Cobo, Ramji Venkataramanan
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number o…
Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing
Nelvin Tan, Pablo Pascual Cobo, Jonathan Scarlett +1
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number o…
Mixed Regression via Approximate Message Passing
Nelvin Tan, Ramji Venkataramanan
We study the problem of regression in a generalized linear model (GLM) with multiple signals and latent variables. This model, which we call a matrix GLM, covers many widely studie…
Performance Bounds for Group Testing With Doubly-Regular Designs
Nelvin Tan, Way Tan, Jonathan Scarlett
In the group testing problem, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is…
Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing
Eric Price, Jonathan Scarlett, Nelvin Tan
In group testing, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether at least one defective item is pre…
Near optimal sparsity-constrained group testing: improved bounds and algorithms
Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk +4
Recent advances in noiseless non-adaptive group testing have led to a precise asymptotic characterization of the number of tests required for high-probability recovery in the subli…
Improved Bounds and Algorithms for Sparsity-Constrained Group Testing
Nelvin Tan, Jonathan Scarlett
In group testing, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is present. Thi…