jonathan-taylor / selective-inference
Software for selective inference
☆15Updated last year
Related projects: ⓘ
- Path algorithm for generalized lasso problems☆32Updated last year
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Python software for selective inference☆51Updated last year
- Code for AutoGP☆26Updated 5 years ago
- A multi-algorithm Python framework for regularized regression☆12Updated 10 months ago
- Collapsed Variational Bayes☆67Updated 4 years ago
- ☆11Updated 6 years ago
- GAP Safe Screening Rules for Sparse-Group Lasso.☆14Updated 6 years ago
- Variational Bayes linear and logistic regression☆34Updated 5 years ago
- The Python wrapper for LowRankModels.jl.☆15Updated 5 years ago
- Statistical Inference and Sure Independence Screening via Ball Statistics☆26Updated last year
- c-lasso: a Python package for constrained sparse regression and classification☆30Updated 3 years ago
- Canonical Correlation Forests☆19Updated 6 years ago
- Bayesian GPLVM in MATLAB and R☆73Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆81Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- A Bayesian group factor model with structured sparsity☆20Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆21Updated 4 years ago
- ☆36Updated this week
- Implementation of Hidden Markov Models in pymc3☆59Updated 7 years ago
- Fastfit matlab toolbox☆25Updated 7 years ago
- ☆12Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago