Alternatives and similar repositories for DRLR_NIPS2019_exp

Users that are interested in DRLR_NIPS2019_exp are comparing it to the libraries listed below

• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆14Updated 5 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• h305142 / WDRO_coreset
  Coresets for Wasserstein Distributionally Robust Optimization Problems
  ☆13Updated 3 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆93Updated 4 years ago
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated 2 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆23Updated 6 years ago
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• xuwkk / task_aware_machine_unlearning
  This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
  ☆12Updated last year
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 7 months ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 years ago
• AndyZhang92 / DRO-Portfolio-Opt
  ☆18Updated 4 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 6 years ago
• bentoayr / ADMM-tutorial
  ☆33Updated 2 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆40Updated 4 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆14Updated 2 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 2 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆119Updated 10 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆65Updated 9 months ago
• baptistar / greedyPC
  Randomized Greedy Polynomial Chaos Expansions
  ☆11Updated 6 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• stellatogrp / mro_experiments
  ☆30Updated 9 months ago
• LeeLinJun / KoopmanControl
  ☆20Updated 5 years ago
• oxfordcontrol / CDCS
  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
  ☆69Updated 6 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• hoonose / sever
  [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization
  ☆30Updated 5 years ago
• ZhiminPeng / Jacobi-ADMM
  Parallel Multi-Block ADMM with o(1/k) Convergence
  ☆16Updated 10 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
• emliang / Homeomorphic-Projection
  The Code for Homeomorphic Projection
  ☆13Updated 2 years ago