insuhan / ntk-sketch-rfLinks
Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
☆13Updated 3 years ago
Alternatives and similar repositories for ntk-sketch-rf
Users that are interested in ntk-sketch-rf are comparing it to the libraries listed below
Sorting:
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- Neural Tangent Kernel Papers☆119Updated 10 months ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆381Updated last year
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆42Updated 3 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12Updated 3 years ago
- Coresets via Bilevel Optimization☆67Updated 5 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆201Updated 10 months ago
- ☆15Updated 2 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- ☆59Updated 2 years ago
- ☆49Updated last year
- ☆22Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆72Updated 5 years ago
- Data-efficient Training of Machine Learning Models☆67Updated 4 years ago
- Awesome papers on weight-space learning☆33Updated 6 months ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆23Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆36Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- ☆46Updated 3 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated last year
- Pytorch implementation of Deep Variational Information Bottleneck☆204Updated 7 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- ☆12Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Simple CIFAR10 ResNet example with JAX.☆23Updated 4 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago