Alternatives and similar repositories for BlockCoordinateDescent

Users that are interested in BlockCoordinateDescent are comparing it to the libraries listed below

• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• hoonose / sever
  [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization
  ☆30Updated 5 years ago
• dair-iitd / dl-with-constraints
  Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
  ☆23Updated 6 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 4 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 7 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆56Updated 7 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 4 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆51Updated 4 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆73Updated 4 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆35Updated 4 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆26Updated 11 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• BigBayes / SMS
  Sampling via Moment Sharing
  ☆11Updated 10 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆119Updated 11 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 7 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆93Updated 4 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 7 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆20Updated 6 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆46Updated 5 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 5 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆66Updated 2 years ago
• ryotat / dal
  Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
  ☆34Updated 10 years ago
• sarlinpe / Concrete-Dropout
  A clean TensorFlow implementation of Concrete Dropout
  ☆22Updated 8 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year