iutzeler / skwdro
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
☆14Updated 2 months ago
Alternatives and similar repositories for skwdro:
Users that are interested in skwdro are comparing it to the libraries listed below
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆25Updated 5 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆36Updated last week
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- ☆53Updated 9 months ago
- csl: PyTorch-based Constrained Learning☆12Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 2 years ago
- ☆67Updated 4 months ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆56Updated 2 years ago
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- ☆10Updated 3 years ago
- Compute free-support Wasserstein barycenters exactly☆9Updated 8 months ago
- Benchmark for bi-level optimization solvers☆44Updated 5 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆24Updated 10 months ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆68Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 9 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Scalable data valuation using optimal transport (ICLR 2025)☆12Updated 10 months ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated 2 years ago