📐 Optimization Theory

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

🧠Machine Learning Code

github.com··Hacker News

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

🧠Machine Learning

aarushgupta.io··Lobsters, Hacker News

A Theory on Flow Matching with Neural Networks

🧠Machine Learning Academic

arxiv.org·

Performative prediction

🎮Reinforcement Learning

danmackinlay.name·

Major Types of Machine Learning

🧠Machine Learning Blog

medium.com·

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

📐Linear Algebra Blog

tridao.me··Hacker News

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

🧠Machine Learning Academic

arxiv.org·

Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)

🧠Machine Learning

globalnerdy.com·

Welcome to Machine Learning With Manya: The Ultimate Adventure Map!

🧠Machine Learning Blog

medium.com·

Advancing the Korpelevich method: a new approach to equilibrium problems on Hadamard manifolds

🌀Riemannian Optimization Academic

nature.com·

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

🧠LLM Academic

arxiv.org·

What are AI parameters — and why does everyone keep talking about billions of them?

💬LLMs Blog

medium.com·

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training

🤖Transformers Academic

arxiv.org·

The Untrainable

🧠Machine Learning News Blog

saranormous.substack.com··Substack

An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

🧠Machine Learning Academic

arxiv.org·

Predictive Coding with Bayesian Priors via Proximal Gradients

PyTorch Stochastic Gradient Optimization Technique

Machine learning from scratch, what to build before using scikit-learn

From SGD to Muon: An Incremental Tutorial (Fable-5)

Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

A Theory on Flow Matching with Neural Networks

Performative prediction

Major Types of Machine Learning

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)

Welcome to Machine Learning With Manya: The Ultimate Adventure Map!

Advancing the Korpelevich method: a new approach to equilibrium problems on Hadamard manifolds

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

What are AI parameters — and why does everyone keep talking about billions of them?

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training

The Untrainable

An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization