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
  ☆15Updated 9 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆77Updated 2 years ago
• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆14Updated 4 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆92Updated 4 years ago
• nmchaves / admm-for-lp
  Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
  ☆44Updated 8 years ago
• xhchrn / MS4L2O
  ☆11Updated 2 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆48Updated 2 months ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆112Updated 10 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆223Updated 2 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆156Updated 3 years ago
• HandingWang / DDMOP
  Competition on Online Data-Driven Multi-Objective Optimization
  ☆24Updated 6 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆281Updated 2 years ago
• OPT4SMART / disropt
  DISROPT: A Python framework for distributed optimization
  ☆77Updated last year
• bentoayr / ADMM-tutorial
  ☆32Updated 2 years ago
• hhexiy / scip-dagger
  A branch-and-bound ILP solver
  ☆26Updated 6 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆105Updated 2 years ago
• oxfordcontrol / CDCS
  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
  ☆66Updated 5 years ago
• leavesgrp / ABIP
  Admm-based Interior Point Method for Linear Programming
  ☆26Updated last year
• lx10077 / Lasso
  Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …
  ☆47Updated 6 years ago
• COPT-Public / SOLNP_plus
  SOLNP+: A derivative-free optimization software
  ☆23Updated 2 months ago
• git-xp / Non-Convex-Newton
  ☆15Updated 7 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆160Updated 3 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆381Updated 3 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆73Updated 4 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago