JunjieYang97 / stocBiO
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
☆47Updated 3 years ago
Alternatives and similar repositories for stocBiO:
Users that are interested in stocBiO are comparing it to the libraries listed below
- Benchmark for bi-level optimization solvers☆44Updated 5 months ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆17Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆45Updated 3 years ago
- Neural Tangent Kernel Papers☆109Updated 3 months ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆66Updated 3 years ago
- ☆58Updated 2 years ago
- ☆32Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- ☆17Updated 3 years ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Updated 3 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆31Updated 5 months ago
- ☆122Updated 11 months ago
- Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…☆10Updated 3 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆179Updated 4 months ago
- ☆67Updated 4 months ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆42Updated 2 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆42Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆57Updated 5 years ago
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆26Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆68Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆73Updated 4 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆56Updated 2 years ago