computational learning
S&DS Seminar: Zhuoran Yang (Yale), “Unveiling In-Context Learning: Provable Training Dynamics and Feature Learning in Transformers”
Abstract: In-context learning (ICL) is a cornerstone of large language model (LLM) functionality, yet its theoretical foundations remain elusive due to the complexity of transformer […]
Computational Biology & Biomedical Informatics (CBB) and Biomedical Informatics & Data Science (BIDS) Project Match
Computational Biology and Biomedical Informatics (CBB) and Biomedical Informatics & Data Science (BIDS) faculty will give 5–7-minute presentations on their research to recruit MS/PhD students […]
Yale Theory Student Seminar: Alkis Kalavasis, “Some Open Problems in TCS”
Abstract: “Overview of the things I am interested in (Machine Learning & Optimization)” Question 1 (TCS): Query Complexity of MaxCut and beyond. Question 2 […]
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