code for performing Bayesian ARD regression, where covariates have groups
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Updated
Mar 25, 2024 - Python
code for performing Bayesian ARD regression, where covariates have groups
Implementing MCMC sampling from scratch in R for various Bayesian models
Coresets for scalable robust pseudo-Bayesian inference
Comparison of different regression and classification algorithms on different datasets.
2022 NTHU EE6550 (EE655000) Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)
Comparing frequentist linear regression with bayesian linear regression of a lying experiment
Sklearn wrapper for Bayesian Probabilistic Matrix Completion with Macau, Smurff, and Bayesian linear regression
Machine Learning Projects on Linear Regression, Classification and Multi-layer Perceptrons, and Gaussian Processes and SVMs (October, 2019).
Summer Research Internship Tasks
My personal repository for Statistical Thinking course assignments, 8th semester, Computer Science Engineering.
Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
Entraînement de modèles Bayésiens et analyse de robustesse.
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
Model Comparison of 2-Component Mixture, 3-Component Mixture, and Bayesian Linear Regression with MCMC Sampling
Ensembled Deep Network for Global Optimization
Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).
Bayesian Linear regression using MCMC and Variational Inference
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
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