gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC
Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
☆23Updated 4 years ago
Alternatives and similar repositories for Replica_Exchange_Stochastic_Gradient_MCMC:
Users that are interested in Replica_Exchange_Stochastic_Gradient_MCMC are comparing it to the libraries listed below
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- Continuous-time gradient flow for generative modeling and variational inference☆30Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆108Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- ☆67Updated 2 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆27Updated 3 months ago
- ☆47Updated 5 years ago
- ☆59Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Tree Approximate Message Passing☆29Updated 9 months ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆50Updated 6 months ago
- ☆31Updated 4 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- We got a stew going!☆27Updated last year
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆39Updated 2 years ago