Alternatives and similar repositories for Stochastic_BB

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

• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆31Updated 6 years ago
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆43Updated 7 years ago
• VITA-Group / LISTA-CPSS
  [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…
  ☆63Updated 3 years ago
• Titan-Tong / ScaledGD
  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation
  ☆32Updated 4 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆224Updated 2 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• mtitsias / gadMCMC
  Gradient-based Adaptive Markov chain Monte Carlo
  ☆31Updated 6 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆112Updated 4 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated 2 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆114Updated 10 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• Jiankai-Sun / Bayes-Optimization
  A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
  ☆20Updated 7 years ago
• liujl11git / multilevelOT
  MATLAB codes for multilevel optimal transport
  ☆26Updated 6 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• git-xp / Non-Convex-Newton
  ☆15Updated 7 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 7 years ago
• jmdvinodjmd / LIBS2ML
  LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
  ☆12Updated 4 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆16Updated 10 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆92Updated 4 years ago
• chokkyvista / daSVM
  Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"
  ☆18Updated 10 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 5 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆66Updated 2 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆34Updated 9 years ago