samcohen16 / Healing-POEs-ICML
☆13Updated 4 years ago
Alternatives and similar repositories for Healing-POEs-ICML:
Users that are interested in Healing-POEs-ICML are comparing it to the libraries listed below
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- ☆12Updated 6 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- Pulls papers from arXiv on a weekly basis☆30Updated last year
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated last year
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- ☆20Updated 4 years ago
- ☆32Updated 2 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 5 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆43Updated 3 years ago
- ☆15Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- ☆47Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- ☆13Updated 5 years ago