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
Statistics and Data Science Seminar
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