Podcast: Data Nation
IDSS faculty and industry experts unpack how data can be used to lead, mislead, manipulate, and inform the public’s viewpoints and decisions. Season 2 has begun!
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Using a versatile problem-solving framework, researchers including SDSC faculty Devavrat Shah and SES/IDPS student Jessy (Xinyi) Han show how early relapse in lymphoma patients influences their chance for survival.
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New technique from researchers including SDSC faculty Navid Azizan enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question.
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IDSS faculty Naoki Egami one of six faculty granted tenure in the MIT School of Humanities, Arts, and Social Sciences.
Feb
06
Diffusion models and minimax rates: scores, functionals, and tests
Subhodh Kotekal, MIT
Feb
13
Statistics and Data Science Seminar
Max Simchowitz, Carnegie Mellon University
Feb
20
When do spectral gradient updates help in deep learning?
Dmitriy Drusvyatskiy, UC – San Diego
Feb
27
Statistics and Data Science Seminar
Michael Albergo, Harvard University
Mar
06
Statistics and Data Science Seminar
Piotr Indyk, MIT