Excited to share our UMD MARL talk Oct 29, 5:00 pm ET by Naveen Raman Naveen Raman PhD Student Machine Learning Dept. at Carnegie Mellon, on "Restless Bandits with Global Rewards" at IRB-5105 with virtual link at: sites.google.com/view/universit… John P Dickerson Tom Goldstein UMD Department of Computer Science UMIACS UMD Center for Machine Learning #RL #AI #ML

🎇 I’m on the academic job market! I’m a PhD candidate at Machine Learning Dept. at Carnegie Mellon. My research tackles challenges that arise from the sequential nature of human-AI interaction. Toward this goal, my work involves: 🤖 reinforcement learning, 🧠 foundation models, and 👩‍💻 human-centered AI.

I’m honored to be invited to visit MIT ORC tomorrow and give a talk tomorrow 4:15-5:15pm on Multi-Systems and Machine Learning for Societal Challenges at MIT E51-149. Looking forward to it!

1/5 Earlier this year, I joined DatologyAI to give wings to the data research I had been doing in academia. Today, I am absolutely thrilled to share what we’ve been working on! Techvember Ep 2: How we made the #1 LLM Data Engine. Blog: 👉 datologyai.com/post/technical… 🧵

🇨🇦 Hi! I’m attending my last NeurIPS Conference as a PhD student, presenting Patient-Ψ at a few workshops. I'm on the job market, looking for TT faculty roles & post-docs. DM if you'd like to chat (or invite me to a party 🥳)!

I'll be attending NeurIPS Conference in Vancouver next week and presenting our work on global restless bandits. Would love to chat about decision-making, bandits, and AI for social good; feel free to reach out!

Carnegie Mellon University at NeurIPS 2024 – Machine Learning Blog | ML@CMU | Carnegie Mellon University Carnegie Mellon University is proud to present 194 papers at the 38th conference on Neural Information Processing Systems (NeurIPS 2024) blog.ml.cmu.edu/2024/12/02/car…

I am on the industry job market, and am planning to interview around next March. I am attending NeurIPS Conference, and I hope to meet you there if you are hiring! My website: soyeonm.github.io Short bio about me: I am a 5th year PhD student at CMU MLD, working with Russ Salakhutdinov

I'm teaching a grad seminar this winter on Prediction for Decision-making. We'll look at what it means to make good predictions for decision-making from various angles, with a focus on decisions for & about people. Reading list: statmodeling.stat.columbia.edu/2024/12/06/new… Suggestions welcome!

ScribeAgent: Fine-Tuning Open-Source LLMs for Enhanced Web Navigation – Machine Learning Blog | ML@CMU | Carnegie Mellon University blog.ml.cmu.edu/2024/12/06/scr…

Just joined Bluesky! 🦋

We’ll be presenting our work on Global Rewards in Restless Bandits today at #NeurIPS2024 in the West Ballroom #5500 at 4:30 PM!

There’s been a lot of work on unlearning in LLMs, trying to erase memorization without hurting capabilities — but we haven’t seen much success. ❓What if unlearning is actually doomed from the start? 👇This thread explains why and how *memorization sinks* offer a new way forward.