Shiqian Ma @ShiqianMa
associate professor@Rice University. PhD from Columbia IEOR. Work on optimization and machine learning. sqma.rice.edu Houston, TX Joined April 2021-
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This is pointless and contributes only to worsening hype about AI, and the college admissions rat race.
This is pointless and contributes only to worsening hype about AI, and the college admissions rat race.
The INFORMS Optimization Society conference early check in happening now. Look forward to seeing everyone!
When training a DNN model (specially LLMs) we often clip the gradients. Why is that? Something to do with exploding gradients? We @FSchaipp @GuillaumeG_ @umutsimsekli have a story to tell on how clipping is computing the geometric median of gradients. arxiv.org/pdf/2402.12828…
I talked about decentralized bilevel optimization.
I talked about decentralized bilevel optimization.
Meet our January Member of the Month: @ShiqianMa, Associate Professor of Computational Applied Mathematics & Operations Research! Learn more about Dr. Ma and his research here: bit.ly/3wzme1m.
I will speak in the NeEDS online seminar on Feb 12. Thanks @DoloresRomeroM and Emilio for the invitation!
I will speak in the NeEDS online seminar on Feb 12. Thanks @DoloresRomeroM and Emilio for the invitation!
Due to increasing demand, the deadlines of INFORMS Optimization Society Conference 2024 are extended: Jan 7 for talk submission, Jan 31 for "Refereed Papers" submission. Please refer to the conference website for updates and details: ios2024.rice.edu
I'd like to start 2024 with some thoughts on the state of optimization theory. To begin with, let me quote Nesterov's 2003 book: "The main fact, which should be known to any person dealing with optimization models, is that, in general, the optimization problems are unsolvable" 🧵
We proposed a single-loop algorithm for decentralized bilevel optimization. We don’t need heavy matrix-vector multiplication. We don’t assume any heterogeneity assumptions. The convergence rate matches the best known one for bilevel optimization.
We proposed a single-loop algorithm for decentralized bilevel optimization. We don’t need heavy matrix-vector multiplication. We don’t assume any heterogeneity assumptions. The convergence rate matches the best known one for bilevel optimization.
Next semester I will teach optimization methods for data science to master students and upper division undergraduate students. Any recommendation for textbooks?
🚨 WE ARE HIRING: Rice Engineering invites applications for school-wide research faculty positions in: - Energy & Sustainability - Resilient & Adaptive Communities - Advanced Materials - Neuroengineering - Future Computing Apply at bit.ly/3lzpDbQ
.@RiceEngineering faculty @optimalab1, Sebastian Perez-Salazar & @CesarAUribe organized a summit of talks on distributed computing & large-scale #machinelearning. Leading ML researchers from industry & academia traveled to Rice from around the US & TX. bit.ly/472YDqp
The INFORMS Optimization Society Conference (IOS) 2024 will be held on March 22-24, 2024 in Houston, TX. Check the website ios2024.rice.edu for updates on venue and accommodation, travel support, refereed papers submission.
Peter Richtarik @peter_richtarik
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In case you can't read this blog post about startups and research on Medium, I've posted a version to the @PerceivingSys blog also: perceiving-systems.blog/en/post/ai-sta…
Should you do research in a AI startup? Does it burn someone else's money and your equity? Or is it the key to success? If you do it, how do you manage it? Drawing on experiences at Xerox PARC, Amazon, Body Labs, & @meshcapade, I try to shed some light: medium.com/@black_51980/s…
Ongoing lawsuits against GenAI firms over possible use of #copyrighted data for training raise vital questions for our society. 🤖⚖️ How can we address the copyright challenges? New research proposes a solution: "An Economic Solution to Copyright Challenges of Generative AI"
Everything can be formulated as an optimization problem.
once @ylecun told me (heavily paraphrased), it's not F=ma but \min (F-ma)^2. i didn't realize its importance, but it is perhaps the most enlightning perspective i've ever heard.
True
Everything can be formulated as an optimization problem.
Excited to receive the @Google Research Scholar Award for my work on Learning and Fine-Tuning Large Models in Federated Environments! @GoogleAI research.google/programs-and-e…
H-duality can also be extended to the minimax setup! In this case, we can discover a family of first-order algorithms that are exactly optimal. arxiv.org/abs/2404.13228 Kudos to @TaeHo_Y00N @Jaeyeon_Kim_0 @Jaewook_J_Suh @ErnestRyu for their wonderful work.
Michael Jordan giving a talk at KAUST on a good topic 😉
Michael I Jordan giving his Al Kindi lecture at KAUST.
The Mistral folks seem to be doing just fine! (spotted in the Red Sea today)
Snorkelling in the Red Sea with Michael I Jordan. Mike is visiting KAUST this week. cemse.kaust.edu.sa/events/event/a… cemse.kaust.edu.sa/events/event/d…
A room with a view - Classroom 428 @JHUBloombergCtr
Next up we have Wolfram Wiesemann discussing randomized assortment optimization and its connections to robustness
Done another semester teaching causal inference🙂. Updated my course slides, added survival data, labs, corrected more typos this time. Close to 800 pages now. Always more to update next year. www2.stat.duke.edu/~fl35/CausalIn…
It was wonderful having @tydsh visit Caltech and talk about his fantastic work on "Marrying Deep Models with Traditional Symbolic Decision-Making" Video: youtu.be/uxHkNeCs2PI Slides: drive.google.com/file/d/1_f0Paw… Course: sites.google.com/view/cs-159-20…
Thanks for the shout out! We'll be updating the course website with materials as the term progresses, and hope others find it useful. We're also thrilled to have guest lectures by @tydsh, @denny_zhou, @KaiyuYang4!
🔥llm.c update: Our single file of 2,000 ~clean lines of C/CUDA code now trains GPT-2 (124M) on GPU at speeds ~matching PyTorch (fp32, no flash attention) github.com/karpathy/llm.c… On my A100 I'm seeing 78ms/iter for llm.c and 80ms/iter for PyTorch. Keeping in mind this is fp32,…
Live Tweeting the 2024 London Operations Research Day (co-organized with Jean Pauphilet and @AgniOrfanoudaki), kindly hosted by London Business School londonorday.github.io
I’m excited to announce that in July 2025 I will be joining @UWaterloo as an Assistant Professor in the Department of Statistics and Actuarial Science! Until then, I will continue at Princeton as a DataX Postdoc Fellow, working with Boris Hanin. I have many exciting projects…
I'm thrilled to join Princeton's faculty as an assistant professor in the ECE department starting Fall 2025 🐯 Stay tuned for the launch of my lab. We will develop generally helpful robots that learn and plan 🤖
Now that it is official, my amazing student Chris Harshaw is joining the statistics department @Columbia as an Assistant Professor. Super proud of him. chrisharshaw.com
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