Alternatives and similar repositories for MRVRBO:

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

• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆46Updated 3 years ago
• insuhan / ntk-sketch-rf
  Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
  ☆14Updated 2 years ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆18Updated 3 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆22Updated 2 years ago
• AKuzina / defend_vae_mcmc
  Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…
  ☆10Updated 2 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆41Updated 2 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• callous-youth / IAPTT-GM
  Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…
  ☆10Updated 2 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• hanshen95 / penalized-bilevel-gradient-descent
  An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.
  ☆16Updated last year
• KaidiXu / ZO-AdaMM
  Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'
  ☆28Updated 4 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆35Updated 5 years ago
• nsfzyzz / boundary_thickness
  [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
  ☆18Updated 4 years ago
• neu-spiral / HBaR
  ☆19Updated 2 years ago
• avirmaux / lipEstimation
  ☆57Updated last year
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 6 years ago
• zbh2047 / L_inf-dist-net-v2
  [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
  ☆22Updated 2 years ago
• naiqili / DDPM
  This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)
  ☆13Updated 2 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆39Updated last month
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• streethagore / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆12Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆101Updated this week
• gnobitab / MultiObjectiveSampling
  ☆15Updated 3 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆62Updated 4 years ago