Local Maze Solving with Gradient Descent Using Candle and WASM
Loading WASM module...
Read the full articleYou might also wanna read

Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles
arXiv:2607.09167v1 Announce Type: new Abstract: Schedule-Free methods have attracted growing interest for alleviating the burden of designin
Placing 5th in the GPU MODE QR Decomposition Competition: Optimization Techniques and Lessons Learned
How I placed 5th in the GPU MODE qr_v2 competition with common sense engineering, linear algebra tricks, an agent swarm, and a dream.
SketchOGD: Memory-Efficient Continual Learning
When machine learning models are trained continually on a sequence of tasks, they are often liable to forget what they learned on previous t
Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization
Existing results on decomposition methods and algorithms for nonconvex problems are minimal. Parallel decomposition algorithms do not exist
Reinforcement Learning Redefines PDE Solver Creation
A novel approach using reinforcement learning with verifiable physics aims to revolutionize how we construct numerical solvers for partial d
Reflecting on Optimisation: A Personal Take on Theory vs. Modern Practice
This is nothing to be proud of, but I have never really studied optimisation in depth. Oh sure, I know my Adam from my AdaGrad and I even us

Comments
Sign in to join the conversation.
No comments yet. Be the first.