iutzeler / skwdroLinks
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
☆17Updated 3 weeks ago
Alternatives and similar repositories for skwdro
Users that are interested in skwdro are comparing it to the libraries listed below
Sorting:
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆72Updated 11 months ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- ☆54Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆32Updated 3 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 9 months ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆63Updated 2 weeks ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 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
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆17Updated 3 years ago
- Benchmark for bi-level optimization solvers☆49Updated 5 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆59Updated 2 weeks ago