From the 1 of 6 linked papers with an AI index.
6 papers
Group Testing with Selectable Thresholds
Trung-Khang Tran, Daniel McMorrow, Jonathan Scarlett
The paper studies group testing where each pooled test can be assigned a selectable threshold, and shows how to recover the defective set efficiently, achieving near‑optimal test r…
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
TrungKhang Tran, TrungTin Nguyen, Md Abul Bashar +3
Mixture-of-Experts (MoE) architectures combine specialized predictors through a learned gate and are effective across regression and classification, but for classification with sof…
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
TrungKhang Tran, TrungTin Nguyen, Gersende Fort +5
Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repe…
LGCA: Enhancing Semantic Representation via Progressive Expansion
Thanh Hieu Cao, Trung Khang Tran, Gia Thinh Pham +2
Recent advancements in large-scale pretraining in natural language processing have enabled pretrained vision-language models such as CLIP to effectively align images and text, sign…
Matrix Completion in Group Testing: Bounds and Simulations
Trung-Khang Tran, Thach V. Bui
The goal of group testing is to identify a small number of defective items within a large population. In the non-adaptive setting, tests are designed in advance and represented by…
Communication Bounds for the Distributed Experts Problem
Zhihao Jia, Qi Pang, Trung Tran +3
In this work, we study the experts problem in the distributed setting where an expert's cost needs to be aggregated across multiple servers. Our study considers various communicati…