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Monday July 21, 2025 4:15pm - 5:30pm PDT
Session: Efficient Optimization Methods for LLMs (Part II)
Chair: Xiao Li
Cluster: Optimization for Emerging Technologies (LLMs, Quantum Computing, ...)

Talk 1: BAdam: A Memory Efficient Block Coordinate Descent Method for LLM Training
Speaker: Xiao Li
Abstract: TBD

Talk 2: Pretraining of an LLM at KAUST: Mistakes and Learned Lessons
Speaker: Francesco Orabona
Abstract: TBD

Talk 3: Benchmarking Neural Network Training Algorithms
Speaker: Frank Schneider
Abstract: TBD

Speakers
avatar for Xiao Li

Xiao Li

Assistant Professor, The Chinese University of Hong Kong, Shenzhen
Name: Dr. Xiao LiTitle: Assistant Professor of School of Data ScienceAffiliation: The Chinese University of Hong Kong, ShenzhenBio:I work on (continuous) optimization. Currently, my specific focus is on developing efficient optimization methods for large language models.
FO

Francesco Orabona

Name: Dr. Slothington "Slow Convergence" McNapface Title: Distinguished Professor of Continuous Optimization & Energy Minimization Affiliation: The Lush Canopy Institute of Sluggish Algorithms Bio: Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →
avatar for Frank Schneider

Frank Schneider

PostDoc, University of Tübingen
Name: Dr. Frank SchneiderTitle: Postdoctoral ResearcherAffiliation: University of Tübingen, GermanyBio:I’m a postdoctoral researcher at the University of Tübingen in the Methods of Machine Learning group, led by Philipp Hennig. I’m also a chair of the Algorithms working... Read More →
Monday July 21, 2025 4:15pm - 5:30pm PDT
Taper Hall (THH) 212 3501 Trousdale Pkwy, 212, Los Angeles, CA 90089

Attendees (2)


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