OptimaLab
@optimalab1
Optimization for ML at Rice University (CS) led by Associate Prof. Anastasios Kyrillidis - Efficient training methods, non-convex optimization, and more.
🚀 Since the NeurIPS deadline, I’m feeling like a PhD student again! 🎓 I’ve been working on a polynomial, fully parallelizable algorithm for MaxCUT, a project that traces back to my Master’s thesis. Here’s why: 0. Refreshing Detachment: Stepping back from the LLM madness has…
The AI research paradox we're all living: 📚 Hundreds of papers hit ArXiv daily. Keeping up = impossible. Two paths: 🎯 Follow your genuine ideas (risk: get scooped) 🏃♂️ Chase what "big dogs" do (risk: lose your soul) I'm jealous of researchers from eras when ideas could breathe…
🧩 Here's a fun challenge for you today! Below is a numeric puzzle that left me genuinely scratching my head. At first glance, it might look random, but there’s logic behind it! Can you crack the code? 🤔 Before everyone jumping on: this puzzle was created by a 6.5-year-old…
No hype, just breakthroughs: Rice AI summit quietly makes waves in Paris. 🔗 Learn more: news.rice.edu/news/2025/no-h… The summit was sponsored by @RiceUniversity, Rice Global, @RiceEngineering and @ricekenkennedy. @RiceECE @RiceCompSci #SolvingforGreaterGood
Recently, I delved into the role of AI in PK-8 schools, a topic that resonates with my commitment to blending technology and education, as part of the AI Major at Rice University. And I will focus on this age range as I feel it more gentle and "innocent": Kids should be kids, and…
Had a night chat with a friend back home that made me rethink AGI's "general" intelligence claim. We have linguistic, spatial, emotional, kinetic, interpersonal intelligence - yet we act like next-word prediction covers it all. Society shifted from "strongest wins" to "smartest…
🚀 The Future of Computer Science: An Indispensable Partner in Innovation 🚀 In an era dominated by AI, it's easy to misunderstand the role of computer science (CS). Many well-meaning voices, including some high-profile figures, have propagated this myth, but let’s set the…
🚀 Dear PhD Students, (Boilerplate but good to remind) As you navigate the world of research, remember this: 1. Ideas are abundant. But execution? That's where the challenge lies. What looks great on paper may stumble in practice. 2. Small successes are just the beginning.…
🌟 Just wrapped up the RiP-SILO workshop! Huge thanks to all the speakers for their insightful talks in such an academically-friendly environment. The event was refreshing, with friendly vibes and ample time for dialogue. We embraced diverse perspectives—from graph theory to AI…
🚀 Exciting insights from our latest research at Rice University, in collaboration with MSR! Our paper introduces Dynamically Decentralized Orchestration of Mixtures of Experts (DDOME), highlighting: - Joint Training is Key: Combining gating functions with experts leads to…
AI's evolution: We've moved from "building better algorithms" to "finding better problems" 🎯 (highly recommended read: ysymyth.github.io/The-Second-Hal…) AlphaEvolve (deepmind.google/discover/blog/…) just beat Strassen's 56-year-old matrix multiplication record & solved dozens of open math…
🧠 The theory-to-practice gap is real, but we're closing it one rank at a time! Just published online: "Cascading Error Dynamics in Sequential Learning" - tackling how errors propagate when AI learns complex tasks step-by-step. 🔍 Key insights: • Sequential learning as a form…
🚀 AI will disrupt jobs in 5 years - Google DeepMind CEO Perfect timing: @RiceUniversity CS just launched our new AI major! For decades, CS = discrete algorithms (sorting, graphs, complexity). But AI revealed the other half: continuous algorithms like gradient descent -…
🚨 Just 1 month away: Rice Paris Summit on Large-Scale Learning & Optimization! 🇫🇷 Join top minds in #AI & #Optimization: 💥 Chamon (X): ML under constraints 💥 Heckel (TUM): ML x Sci Discovery 💥 Taylor (INRIA): Systematic opt. via PEPit 💥 Zardini (MIT): Future Mobility 💥…
The @ricekenkennedy institute is offering a new AI and Machine Learning Boot Camp on May 7-9, designed for industry professionals, data science practitioners and technical managers. Register to advance applied skills through hands-on learning: rice-ai-ml-bootcamp.eventbrite.com
🤔 Calling all ML Researchers and LoRA Enthusiasts! 🤔 We’re exploring some fascinating questions about LoRA (Low-Rank Adaptation) models, and we’d love your input! 🧠🚀 1️⃣ Training LoRA Models on Academic Clusters Imagine you’re working with a small academic cluster (16/24GB…
🌟AI/ML Enthusiasts!🌟 Join the 2nd Texas Colloquium on Distributed Learning (TL;DR 2025), May 1-2 at Rice!🤖✨ ✅ Top researcher keynotes ✅ Poster presentations (due 4/20) ✅ AI, Federated Learning, Privacy & more Register: sites.google.com/view/tldr-2025 #AI #TLDR2025 #MachineLearning
🌟Register for #QuantIPS2025 — a two-day summit exploring the world of #QuantumComputing on April 28-29 at Rice University🌟 ✅Keynotes by top researchers ✅Poster presentations (due April 20) ✅Topics: Quantum algorithms, variational methods & more! 📍sites.google.com/view/quantips-…
Registration is now open for Ken Kennedy Institute’s AI and Machine Learning Boot Camp happening May 7-9 at Rice University by nine Rice faculty. Visit kenkennedy.rice.edu/bootcamp to register!
🚀 Quantum Enthusiasts, Assemble! 🌌✨ Join us at QuantIPS 2025 on April 28-29, 2025, at Rice University, Houston! 🎓 ✅ Keynotes by top researchers ✅ Poster presentations (Submit by April 20!) ✅ Hot topics: Quantum algorithms, variational methods, & more! 🎟️ Register now:…