Second-Order, First-Class: A Composable Stack for Curvature-Aware Training
Second-Order, First-Class: A Composable Stack for Curvature-Aware Training explores A composable stack for curvature-aware training that optimizes stability and convergence for machine learning models.. Commercial viability score: 4/10 in LLM Training.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisAxe: A Simple Unified Layout Abstraction for Machine Learning CompilersViability: 3.0
- Prior WorkTaming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID DataViability: 4.0
- Higher ViabilityEarly-Warning Signals of Grokking via Loss-Landscape GeometryViability: 5.0
- Higher ViabilityCompiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for InferenceViability: 7.0
- Higher ViabilityMousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning