karlstratos / doeLinks
Difference-of-Entropies (DoE) Estimator
☆25Updated 3 years ago
Alternatives and similar repositories for doe
Users that are interested in doe are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 5 years ago
- ☆32Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ☆91Updated 3 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated 11 months ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization☆11Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A Tensorflow implementation Mutual Information estimation methods☆47Updated 2 years ago
- ☆24Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated 11 months ago
- ☆58Updated 2 years ago
- demonstration of the information bottleneck theory for deep learning☆63Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 8 months ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- ☆40Updated 5 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆58Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆63Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- ☆20Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- ☆65Updated 11 months ago
- ☆30Updated 3 years ago