thudzj / ELLALinks
Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
☆16Updated 2 years ago
Alternatives and similar repositories for ELLA
Users that are interested in ELLA are comparing it to the libraries listed below
Sorting:
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ☆54Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 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
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- ☆15Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- ☆67Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆44Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆89Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago