samcohen16 / Healing-POEs-ICMLLinks
☆13Updated 5 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
Sorting:
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- ☆15Updated 2 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆20Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- A Library for Minimax Risk Classifiers☆31Updated last year
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 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
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- ☆21Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- ☆12Updated 6 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Updated 6 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago
- ☆43Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 4 months ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- ☆32Updated 7 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago