Alternatives and similar repositories for Stochastic_BB

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

• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆43Updated 7 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
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆31Updated 6 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆44Updated 10 years ago
• git-xp / Non-Convex-Newton
  ☆15Updated 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
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆224Updated 2 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆115Updated 10 years ago
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 3 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• dalab / subsampled_cubic_regularization
  Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933
  ☆16Updated 6 years ago
• IBM / ZOSVRG-BlackBox-Adv
  ZOSVRG-BlackBox-Adv
  ☆13Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 3 years ago
• mtitsias / gadMCMC
  Gradient-based Adaptive Markov chain Monte Carlo
  ☆31Updated 6 years ago
• audeg / StochasticOT
  Stochastic Optimization for Optimal Transport
  ☆22Updated 9 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated last year
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• KaidiXu / ZO-minmax
  Zeroth-order Min-max Optimization
  ☆12Updated 5 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• WayneDW / Bayesian-Sparse-Deep-Learning
  Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)
  ☆20Updated 4 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 7 years ago
• liujl11git / multilevelOT
  MATLAB codes for multilevel optimal transport
  ☆26Updated 6 years ago
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆190Updated 5 years ago
• mstaib / stochastic-barycenter-code
  Supporting code for "Parallel Streaming Wasserstein Barycenters"
  ☆10Updated 8 years ago