jackyzyb / bayesian-coresets-optimizationLinks
Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).
☆14Updated 4 years ago
Alternatives and similar repositories for bayesian-coresets-optimization
Users that are interested in bayesian-coresets-optimization are comparing it to the libraries listed below
Sorting:
- Pulls papers from arXiv on a weekly basis☆30Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Difference-of-Entropies (DoE) Estimator☆26Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆216Updated last week
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆54Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Updated 3 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 3 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- ☆15Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- ☆24Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Distributionally robust neural networks for group shifts☆288Updated 2 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago