Alternatives and similar repositories for StochasticProximalMethods:

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

• ZhiminPeng / Jacobi-ADMM
  Parallel Multi-Block ADMM with o(1/k) Convergence
  ☆13Updated 9 years ago
• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆13Updated 4 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆71Updated last year
• hoitowai / defw
  Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC
  ☆10Updated 7 years ago
• lx10077 / lasso
  Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …
  ☆40Updated 6 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆16Updated 5 years ago
• git-xp / Non-Convex-Newton
  ☆14Updated 7 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆40Updated 2 months ago
• oxfordcontrol / CDCS
  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
  ☆63Updated 5 years ago
• OPT4SMART / disropt
  DISROPT: A Python framework for distributed optimization
  ☆72Updated last year
• xhchrn / MS4L2O
  ☆10Updated last year
• nmchaves / admm-for-lp
  Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
  ☆43Updated 7 years ago
• robertsychen / RobustOptimization
  Code associated with "Robust Optimization for Non-Convex Objectives" (R. Chen, B. Lucier, Y. Singer, V. Syrgkanis). NIPS 2017. https://ar…
  ☆21Updated 7 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆90Updated 4 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆109Updated 10 years ago
• bentoayr / ADMM-tutorial
  ☆30Updated last year
• 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
  ☆15Updated 6 years ago
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆32Updated 5 years ago
• kmihic / RACQP
  Randomly Assembled Cyclic ADMM Quadratic Programming Solver
  ☆17Updated 4 years ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆14Updated 6 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆21Updated 5 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆30Updated 4 years ago
• xianggebenben / pdADMM
  ☆13Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 9 months ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆34Updated 5 years ago
• hoonose / sever
  [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization
  ☆30Updated 4 years ago
• nightldj / admm_release
  Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Mod…
  ☆74Updated 5 years ago
• PredOpt / predopt-benchmarks
  ☆34Updated 5 months ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago