PrincetonLIPS / randomized_telescopesLinks
Code for "Efficient optimization of loops and limits with randomized telescoping sums"
☆27Updated 6 years ago
Alternatives and similar repositories for randomized_telescopes
Users that are interested in randomized_telescopes are comparing it to the libraries listed below
Sorting:
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆80Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Jax-based MaxEnt☆17Updated 5 years ago
- Stochastic Deep Networks☆17Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago