3 citations · 5 across the 4 of their papers we have counts for
6 papers
Air-HOLP: Adaptive Regularized Feature Screening for High Dimensional Correlated Data
Ibrahim Joudah, Samuel Muller, Houying Zhu
Handling high-dimensional datasets presents substantial computational challenges, particularly when the number of features far exceeds the number of observations and when features…
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
Yiqing Shen, Outongyi Lv, Houying Zhu +1
Large language models (LLMs) have garnered considerable attention for their proficiency in tackling intricate tasks, particularly leveraging their capacities for zero-shot and in-c…
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems
Xiongwen Ke, Houying Zhu, Kai Yi +3
In this paper, we propose an efficient simulation method based on adaptive importance sampling, which can automatically find the optimal proposal within the Gaussian family based o…
COMBSS: Best Subset Selection via Continuous Optimization
Sarat Moka, Benoit Liquet, Houying Zhu +1
The problem of best subset selection in linear regression is considered with the aim to find a fixed size subset of features that best fits the response. This is particularly chall…
A weighted Discrepancy Bound of quasi-Monte Carlo Importance Sampling
Josef Dick, Daniel Rudolf, Houying Zhu
Importance sampling Monte-Carlo methods are widely used for the approximation of expectations with respect to partially known probability measures. In this paper we study a determi…
Analysis of Framelet Transforms on a Simplex
Yu Guang Wang, Houying Zhu
In this paper, we construct framelets associated with a sequence of quadrature rules on the simplex in . We give the framelet transforms -- decomposition an…