andyjm3 / Awesome-Riemannian-OptimizationLinks
This repo contains papers, books, tutorials and resources on Riemannian optimization.
☆37Updated last month
Alternatives and similar repositories for Awesome-Riemannian-Optimization
Users that are interested in Awesome-Riemannian-Optimization are comparing it to the libraries listed below
Sorting:
- Neural Tangent Kernel Papers☆115Updated 6 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆29Updated 8 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆185Updated 6 months ago
- ☆70Updated 7 months ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated 11 months ago
- Benchmark for bi-level optimization solvers☆47Updated last month
- Pytorch code for experiments on Linear Transformers☆21Updated last year
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆227Updated 4 years ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆286Updated last year
- Bi-level Optimization for Advanced Deep Learning☆46Updated 3 years ago
- Efficient empirical NTKs in PyTorch☆18Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆27Updated last year
- Visualization of mean field and neural tangent kernel regime☆20Updated 11 months ago
- summer school materials☆44Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆32Updated 8 months ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated last year
- Awesome papers on weight-space learning☆26Updated 2 months ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆41Updated 6 years ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆278Updated last year
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆59Updated 4 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆11Updated 4 months ago
- ☆32Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated last year
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆14Updated 3 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆365Updated last year
- A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch☆125Updated last month