optimalab.bsky.social
@optimalab.bsky.social
🌟 Exciting News🌟
Join the 2nd Texas Colloquium on Distributed Learning (TL;DR '25) on May 1-2, 2025, at Rice University! 🤖✨

✅ Top speakers
✅ Poster presentations (Submit by April 20!)
✅ AI, Federated Learning, Privacy, & more!
✅ Food, networking & fun! 🥐☕
🎟️ Register sites.google.com/view/tldr-2025
April 1, 2025 at 4:56 PM
Do you like quantum, games and PCA? Then this paper is for you! 🎮🔢

We introduce QuantumGame - a game-theoretic approach for calculating excited states on quantum computers. No deflation steps needed, just players competing to find eigenvectors!

Check it out:
- akyrillidis.github.io/explore-quan...
Quantum EigenGame for excited state calculation
Paper description.
akyrillidis.github.io
March 19, 2025 at 2:36 PM
🚀 Just read the k-SVD with Gradient Descent by Emily Gan, Yassir Jedra & Devavrat Shah at MIT—excellent work

In our group, we've been exploring related PCA themes:

👉 arxiv.org/abs/2310.04283
👉 arxiv.org/abs/2502.17615

Always open to discuss & collaborate! 🤝
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
Principal Component Analysis (PCA) aims to find subspaces spanned by the so-called principal components that best represent the variance in the dataset. The deflation method is a popular meta-algorith...
arxiv.org
March 14, 2025 at 6:21 PM
From kicking a ball in the 90s to obsessing over Championship Manager in the 00s, I’ve always been hooked on soccer. Now, diving into research with GNNs to predict player impact beyond goals! AI reshaping tactics.
Check out GoalNet: arxiv.org/pdf/2503.09737. Let’s collaborate! ⚽🤖 #TacticAI
arxiv.org
March 14, 2025 at 6:18 PM
1/7 🚀 Excited to share our latest research on quantum-classical computing! We're tackling MaxCUT and eigenproblems with a fresh perspective on approximation algorithms.

@RiceCompSci

@ricekenkennedy

@RiceEngineering
December 5, 2024 at 4:02 AM