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Nelvin Tan
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2020 – today
- 2023
- [j2]Nelvin Tan
, Way Tan, Jonathan Scarlett
:
Performance Bounds for Group Testing With Doubly-Regular Designs. IEEE Trans. Inf. Theory 69(2): 1224-1243 (2023) - [c3]Nelvin Tan, Ramji Venkataramanan:
Mixed Linear Regression via Approximate Message Passing. AISTATS 2023: 2116-2131 - [i5]Nelvin Tan, Ramji Venkataramanan:
Mixed Regression via Approximate Message Passing. CoRR abs/2304.02229 (2023) - [i4]Nelvin Tan, Jonathan Scarlett, Ramji Venkataramanan:
Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing. CoRR abs/2309.15507 (2023) - 2022
- [j1]Oliver Gebhard
, Max Hahn-Klimroth
, Olaf Parczyk
, Manuel Penschuck, Maurice Rolvien, Jonathan Scarlett
, Nelvin Tan
:
Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. IEEE Trans. Inf. Theory 68(5): 3253-3280 (2022) - [i3]Nelvin Tan, Way Tan, Jonathan Scarlett:
Performance Bounds for Group Testing With Doubly-Regular Designs. CoRR abs/2201.03745 (2022) - 2021
- [c2]Nelvin Tan, Jonathan Scarlett:
An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests. ISIT 2021: 1967-1972 - [i2]Eric Price, Jonathan Scarlett, Nelvin Tan:
Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing. CoRR abs/2106.00308 (2021) - 2020
- [c1]Nelvin Tan, Jonathan Scarlett:
Near-Optimal Sparse Adaptive Group Testing. ISIT 2020: 1420-1425 - [i1]Nelvin Tan, Jonathan Scarlett:
Improved Bounds and Algorithms for Sparsity-Constrained Group Testing. CoRR abs/2004.03119 (2020)
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