activity
20232026
most citedApproximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing

5 citations · 15 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ML2026

Batched Stochastic Linear Bandits with 1-Bit Communication Constraints

Ivan Lau, Daniel McMorrow, Kevin Jamieson +1

We study stochastic linear bandits under a natural combination of batching and communication constraints: the time horizon is partitioned into batches of equal size , and during…

cs.LG2024★ 4 cited

A General Framework for Clustering and Distribution Matching with Bandit Feedback

Recep Can Yavas, Yuqi Huang, Vincent Y. F. Tan +1

We develop a general framework for clustering and distribution matching problems with bandit feedback. We consider a -armed bandit model where some subset of arms is partiti…

cs.IT2024

Robust Instance Optimal Phase-Only Compressed Sensing

Junren Chen, Michael K. Ng, Jonathan Scarlett

Phase-only compressed sensing (PO-CS) concerns the recovery of sparse signals from the phases of complex measurements. Recent results show that sparse signals in the standard spher…

cs.IT2024★ 1 cited

Exact Thresholds for Noisy Non-Adaptive Group Testing

Junren Chen, Jonathan Scarlett

In recent years, the mathematical limits and algorithmic bounds for probabilistic group testing have become increasingly well-understood, with exact asymptotic thresholds now being…

eess.SP2023★ 2 cited

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

Junren Chen, Jonathan Scarlett, Michael K. Ng +1

In generative compressed sensing (GCS), we want to recover a signal from measurements () using a generative prior $\mathbf{x}^*\in G(\ma…

cs.IT2023★ 3 cited

Concomitant Group Testing

Thach V. Bui, Jonathan Scarlett

In this paper, we introduce a variation of the group testing problem capturing the idea that a positive test requires a combination of multiple ``types'' of item. Specifically, we…

cs.IT2023★ 5 cited

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…