7 citations · 13 across the 10 of their papers we have counts for
10 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…
A Discrepancy Bound for Deterministic Acceptance-Rejection Samplers Beyond in Dimension 1
Houying Zhu, Josef Dick
In this paper we consider an acceptance-rejection (AR) sampler based on deterministic driver sequences. We prove that the discrepancy of an element sample set generated in this…
Discrepancy Estimates for Acceptance-Rejection Samplers Using Stratified Inputs
Houying Zhu, Josef Dick
In this paper we propose an acceptance-rejection sampler using stratified inputs as diver sequence. We estimate the discrepancy of the points generated by this algorithm. First we…
A Discrepancy Bound for a Deterministic Acceptance-Rejection Sampler
Houying Zhu, Josef Dick
We consider an acceptance-rejection sampler based on a deterministic driver sequence. The deterministic sequence is chosen such that the discrepancy between the empirical target di…
Discrepancy bounds for uniformly ergodic Markov chain quasi-Monte Carlo
Josef Dick, Daniel Rudolf, Houying Zhu
Markov chains can be used to generate samples whose distribution approximates a given target distribution. The quality of the samples of such Markov chains can be measured by the d…