WeiXiongUST / Decentralized-Proximal-Algorithm-with-Variance-ReductionLinks
This is the code used for the paper "PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction", prepint.
☆16Updated 3 years ago
Alternatives and similar repositories for Decentralized-Proximal-Algorithm-with-Variance-Reduction
Users that are interested in Decentralized-Proximal-Algorithm-with-Variance-Reduction are comparing it to the libraries listed below
Sorting:
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'☆11Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 6 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Deep Generative Learning via Schrödinger Bridge☆24Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Multimodal Mixture-of-Experts VAE☆213Updated 2 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 6 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 5 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆13Updated 3 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- A tutorial on learned non-adversarial invariance in neural networks☆13Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago