MethodsOfMachineLearning / probabilistic_line_searchLinks
Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
☆22Updated 8 years ago
Alternatives and similar repositories for probabilistic_line_search
Users that are interested in probabilistic_line_search are comparing it to the libraries listed below
Sorting:
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- Lagrangian VAE☆28Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- ☆36Updated 4 years ago
- ☆37Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆133Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Hypergradient descent☆149Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- hessian in pytorch☆187Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago