Optimization

Gradient Descent, Convex Optimization, Stochastic Methods, Loss Functions

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Scoured 246 posts in 7.2 ms

I Let an AI Agent Run 40 Experiments While I Slept

 🌐Distributed Systems  Content type: Blog
oreilly.com·

RelationalAI closes the AI value gap with new agentic decision intelligence capabilities for the Snowflake AI Data Cloud

 Automatic Differentiation
relational.ai·

I open-sourced my UFC prediction model, code, and database after 5 years of work

 🤖AI
mcinerney.ai··Hacker News

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 🎯Optimization Theory

Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.

 🧠Deep Learning  Content type: Code
github.com··Hacker News

Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

 Automatic Differentiation  Content type: Academic
arxiv.org·

Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

 🎮Reinforcement Learning  Content type: Blog
aws.amazon.com·

Reinventing Entropy

 📡Information Theory  Content type: News  Content type: Blog

From Jupyter Notebook to production: How to ship AI systems that actually work

 🐍Python

Why Compiler Engineers Rarely Use Strassen's Algorithm for Fast Matrix Multiplications

 💻Computer Science  Content type: News  Content type: Blog

The 4-Stage AI Asset Lifecycle: How to Manage Your Models, Datasets, and Labels Without Losing Track

 🧠Deep Learning
sitepoint.com·

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

 🤖Transformers  Content type: Academic
arxiv.org·

Exploring the Design Space of Reward Backpropagation for Flow Matching

 🤖AI  Content type: Academic
arxiv.org·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

 🧠Deep Learning  Content type: Code
github.com·

A Theory on Flow Matching with Neural Networks

 🎯Optimization Theory  Content type: Academic
arxiv.org·

Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents

 🗣️Large Language Models  Content type: Academic
arxiv.org·

Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE

 🎯Optimization Theory  Content type: Academic
arxiv.org·

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

 🎯Optimization Theory  Content type: Academic
arxiv.org·

Meltedd/scarecrow: An adversarial frame pattern optimizer for evading automated license plate recognition, personalized to your plate.

 🎯Optimization Theory  Content type: Code
github.com··Hacker News

Metric-Free Riemannian Optimization

 🔢Numerical Methods  Content type: Academic
arxiv.org·

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