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"☆48Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- ☆44Updated 9 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆119Updated last year
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 3 years ago
- Neural Tangent Kernel Papers☆112Updated 4 months ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- ☆24Updated 4 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Awesome papers on weight-space learning☆23Updated 3 weeks ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- ☆9Updated 2 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12Updated 3 years ago
- ☆22Updated 6 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".☆15Updated 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
- Official implementation of GOAT model (ICML2023)☆37Updated last year
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated 2 years ago
- ☆17Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆28Updated 6 months ago
- ☆58Updated 2 years ago