Mr8ND / ACORE-LFI
Approximate Computation via Odds Ratio Estimation in Likelihood Free Inference
☆8Updated last year
Alternatives and similar repositories for ACORE-LFI:
Users that are interested in ACORE-LFI are comparing it to the libraries listed below
- Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).☆9Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Implementation of Flexible Conditional Density Estimator☆22Updated 2 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Updated 4 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- Conditional density estimation with neural networks☆30Updated 2 months ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 8 months ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆12Updated last year
- Sequential Neural Likelihood☆39Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated last month
- ☆9Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago
- ☆45Updated 10 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 3 years ago
- ☆15Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 2 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆17Updated last month
- Black Box Variational Inference☆14Updated 9 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆46Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- ☆15Updated 3 years ago
- Simulation-based inference benchmark☆96Updated 2 months ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago