WayneDW / Bayesian-Sparse-Deep-Learning
Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)
☆20Updated 3 years ago
Alternatives and similar repositories for Bayesian-Sparse-Deep-Learning:
Users that are interested in Bayesian-Sparse-Deep-Learning are comparing it to the libraries listed below
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 7 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Gradient-based Adaptive Markov chain Monte Carlo☆31Updated 5 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 9 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆11Updated 4 years ago
- nonconvex algorithms for solving sparse deconvolution/convolutional dictionary learning problems☆10Updated 5 years ago
- MATLAB codes for multilevel optimal transport☆25Updated 5 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- A fresh approach to deep learning written in MATLAB☆24Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 6 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆14Updated 3 years ago
- Sampling via Moment Sharing☆11Updated 9 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago