activatedgeek / understanding-bayesian-classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
☆21Updated 2 years ago
Alternatives and similar repositories for understanding-bayesian-classification:
Users that are interested in understanding-bayesian-classification are comparing it to the libraries listed below
- Bayesian active learning with EPIG data acquisition☆28Updated last month
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆23Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated 11 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 4 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 6 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last month
- ☆15Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆85Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆62Updated last month
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago