Alternatives and similar repositories for stocBiO:

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

• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆39Updated last month
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 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
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• insuhan / ntk-sketch-rf
  Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
  ☆14Updated 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
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 6 years ago
• gnobitab / MultiObjectiveSampling
  ☆15Updated 3 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…
  ☆157Updated 3 weeks ago
• avirmaux / lipEstimation
  ☆57Updated last year
• StanfordASL / moca
  ☆31Updated 2 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆101Updated this week
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆22Updated 2 years ago
• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆65Updated 2 years ago
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆28Updated last month
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆53Updated 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
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 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 …
  ☆26Updated 3 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆58Updated 2 years ago
• revbucket / lipMIP
  Mixed integer programming for computing lipschitz constants of ReLU Networks
  ☆17Updated last year
• locuslab / edge-of-stability
  ☆62Updated last month
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆41Updated 3 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆56Updated last year
• aravindr93 / imaml_dev
  Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
  ☆55Updated 4 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