147 citations · 233 across the 14 of their papers we have counts for
7 papers · 1 filter
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen +1
Randomized smoothing has recently attracted attentions in the field of adversarial robustness to provide provable robustness guarantees on smoothed neural network classifiers. Howe…
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization
Alireza Ghods, Trong Nghia Hoang, Diane Cook
Data summarization is the process of generating interpretable and representative subsets from a dataset. Existing time series summarization approaches often search for recurring su…
Adaptive Multi-Source Causal Inference
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang +1
Data scarcity is a tremendous challenge in causal effect estimation. In this paper, we propose to exploit additional data sources to facilitate estimating causal effects in the tar…
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Quang Minh Hoang, Trong Nghia Hoang, Hai Pham +1
We introduce a new scalable approximation for Gaussian processes with provable guarantees which hold simultaneously over its entire parameter space. Our approximation is obtained f…
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
Cao Xiao, Trong Nghia Hoang, Shenda Hong +2
There is a growing interest in applying deep learning (DL) to healthcare, driven by the availability of data with multiple feature channels in rich-data environments (e.g., intensi…
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Kexin Huang, Cao Xiao, Trong Nghia Hoang +2
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality. Identifying potential DDIs during the drug design process is critical for patients and soci…