iutzeler / skwdroLinks
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
☆15Updated last week
Alternatives and similar repositories for skwdro
Users that are interested in skwdro are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- ☆32Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 4 years ago
- Mutual information estimators and benchmark☆53Updated last month
- ☆54Updated last year
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 8 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated 11 months ago
- ☆10Updated 3 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆71Updated 10 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆92Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- ☆15Updated 3 years ago
- Pytorch code for experiments on Linear Transformers☆23Updated last year
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 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