Approximate Bayesian Computation algorithm based on simulated annealing
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Updated
Jun 24, 2024 - Julia
Approximate Bayesian Computation algorithm based on simulated annealing
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
Code used to constrain dark matter substructure in the solar neighborhood with Gaia eDR3 wide binaries.
Cuadernos introductorios
Gaussian Process Bayesian Toolkit with Monte Carlo Sampler Integration for Heavy Ion Collisions
Adaptive paralelle tempering for sampling multi-modal posteriors in NIMBLE.
Inverse prompting LLMs for interpretability
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
Gibbs samplers for inferring latent variables and learning the parameters of Bayesian hierarchical models.
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
A few proofs and examples related to ML/Prob and Optimisation
Final Assignment for Maastricht University EBS 2072: Introduction to Software in Econometrics
Some interesting applications of Stochastic Processes using Jupyter Notebooks for descriptive and instructive illustrations.
Uncertainty Quantification for Physical and Biological Models
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
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