Alternatives and similar repositories for benchmark_bilevel

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

• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 4 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆47Updated 4 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆85Updated 2 years ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆294Updated 2 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆64Updated 3 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 6 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆66Updated 3 years ago
• xhchrn / MS4L2O
  ☆12Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆27Updated 2 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• h305142 / WDRO_coreset
  Coresets for Wasserstein Distributionally Robust Optimization Problems
  ☆13Updated 3 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year
• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆71Updated 3 years ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆101Updated 6 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆29Updated 3 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• namkoong-lab / dro
  A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
  ☆155Updated 8 months ago
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆54Updated this week
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆163Updated last year
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• AndyZhang92 / DRO-Portfolio-Opt
  ☆18Updated 5 years ago
• locuslab / edge-of-stability
  ☆73Updated last year
• gnobitab / MultiObjectiveSampling
  ☆18Updated 4 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 5 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• SahinLale / StochasticMirrorDescent
  Stochastic Mirror Descent on CIFAR-10
  ☆20Updated 6 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆29Updated 4 years ago
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆205Updated last year