f-t-s / CGD
This repository contains the Julia code for the paper "Competitive Gradient Descent"
☆24Updated 5 years ago
Alternatives and similar repositories for CGD:
Users that are interested in CGD are comparing it to the libraries listed below
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated last month
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆16Updated 2 years ago
- ☆29Updated 4 years ago
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- ☆80Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Adaptive gradient descent without descent☆47Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆24Updated 4 years ago
- ☆53Updated 8 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆38Updated 3 years ago
- ☆26Updated 6 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ☆35Updated last year
- code to reproduce the empirical results in the research paper☆35Updated 3 years ago
- ☆20Updated 4 years ago