daniellevy / fast-droLinks
PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
☆63Updated 3 years ago
Alternatives and similar repositories for fast-dro
Users that are interested in fast-dro are comparing it to the libraries listed below
Sorting:
- ☆43Updated 7 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆29Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- ☆126Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 4 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
- ☆32Updated 3 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 6 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- ☆50Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Geometric Certifications of Neural Nets☆42Updated 3 years ago
- Benchmark for bi-level optimization solvers☆50Updated 8 months ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- ☆65Updated last year
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ☆94Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆79Updated 6 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'☆23Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago