bayesian-linear-regression

End-to-end Bayesian linear regression pipeline: conjugate baselines + non-conjugate priors, adaptive Metropolis-within-Gibbs, and rigorous diagnostics (R-hat/ESS/MCSE) with posterior predictive checks for salary modeling.

Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/

Coresets for scalable robust pseudo-Bayesian inference

Bayesian Linear regression using MCMC and Variational Inference

Sklearn wrapper for Bayesian Probabilistic Matrix Completion with Macau, Smurff, and Bayesian linear regression

Bayesian uncertainty, calibration, and hallucination-risk modeling for reliable language and multimodal AI.

🤖 Explore and optimize rewards with Bandexa, a PyTorch-native library for Neural-Linear Thompson Sampling in contextual bandits.

code for performing Bayesian ARD regression, where covariates have groups

My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).

PyTorch-native contextual bandits with Neural Thompson Sampling for scalable exploration and large action sets.

Probabilistic Artificial Intelligence course at ETH Zürich

Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.