f-t-s / CGD
This repository contains the Julia code for the paper "Competitive Gradient Descent"
☆23Updated 5 years ago
Alternatives and similar repositories for CGD:
Users that are interested in CGD are comparing it to the libraries listed below
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆18Updated 5 years ago
- ☆80Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 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
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- ☆29Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆24Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 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 …☆39Updated 4 years ago
- ☆53Updated 6 months ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- ☆26Updated 5 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆17Updated 2 years ago
- ☆35Updated 2 years ago
- ☆35Updated last year