XingLLiu
PhD student in Statistical Machine Learning. Interested in computational statistics and kernel methods.
Imperial College LondonLondon, UK
Pinned Repositories
academic-page
approximate-bayesian-computation
Approximate Bayesian Computation with Optimal Transport (Part III essay)
BART-Int
Bayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees)
bfeacademy-aa
Repo for storing datasets for BfE Academy Analytics and Algorithm
BO-BART
Bayesian Optimization using Bayesian Additive Regression Trees
bunnylol
My implementation of Meta's Bunnylol
covid19model
Code for modelling estimated deaths and cases for COVID19.
ImperialCollegePosterTemplate
An unofficial poster template for Imperial College Maths department
pksd
Code for the paper "Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy".
XingLLiu.github.io
Xing's webpage; powered by academicpages (https://github.com/academicpages/academicpages.github.io).
XingLLiu's Repositories
XingLLiu/XingLLiu.github.io
Xing's webpage; powered by academicpages (https://github.com/academicpages/academicpages.github.io).
XingLLiu/ImperialCollegePosterTemplate
An unofficial poster template for Imperial College Maths department
XingLLiu/pksd
Code for the paper "Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy".
XingLLiu/approximate-bayesian-computation
Approximate Bayesian Computation with Optimal Transport (Part III essay)
XingLLiu/academic-page
XingLLiu/BART-Int
Bayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees)
XingLLiu/bfeacademy-aa
Repo for storing datasets for BfE Academy Analytics and Algorithm
XingLLiu/BO-BART
Bayesian Optimization using Bayesian Additive Regression Trees
XingLLiu/bunnylol
My implementation of Meta's Bunnylol
XingLLiu/covid19model
Code for modelling estimated deaths and cases for COVID19.
XingLLiu/ED_code
XingLLiu/generative-adversarial-networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
XingLLiu/markdown-content
Markdown content for the www.aerobatic.io website
XingLLiu/my_page
XingLLiu/PartIII-Astrostatistics-2020
Webpage for Part III Astrostatistics course
XingLLiu/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
XingLLiu/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
XingLLiu/robust-kernel-test
Code for the paper "On the Robustness of Kernel Goodness-of-Fit Tests"
XingLLiu/Stats-Modelling-for-Streaming-Data
R codes for UROP project (summer 2018).
XingLLiu/u-stat-high-dim
XingLLiu/winference
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
XingLLiu/XingLLiu
Config files for my GitHub profile.