Alternatives and similar repositories for mmd-dro-code

Users that are interested in mmd-dro-code are comparing it to the libraries listed below

• jj-zhu / kdro
  Code for the paper: Kernel Distributionally Robust Optimization
  ☆13Updated 4 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆15Updated 5 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆60Updated 2 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆46Updated 2 weeks ago
• Junghwan-brian / SDE-Net
  implementations sde-net
  ☆14Updated 4 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆42Updated 6 months ago
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated last year
• AndyZhang92 / DRO-Portfolio-Opt
  ☆13Updated 4 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆18Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 6 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆28Updated 3 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆11Updated 2 years ago
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆27Updated last year
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• ntienvu / MiniBO
  Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
  ☆15Updated 2 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• SahinLale / StochasticMirrorDescent
  Stochastic Mirror Descent on CIFAR-10
  ☆20Updated 5 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago