53 min listen
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
FromCasual Inference
ratings:
Length:
48 minutes
Released:
May 1, 2024
Format:
Podcast episode
Description
Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty quantification for machine learning (conformal prediction, calibration). His applied areas of interest include neuroscience, genetics and auditing (real-estate, finance, elections). Aaditya received the IMS Peter Gavin Hall Early Career Prize, the COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, the Sloan fellowship in Mathematics, and faculty research awards from Adobe and Google. He also spends 20% of his time at Amazon working on causality and sequential experimentation. Aaditya’s website: https://www.stat.cmu.edu/~aramdas/ Game theoretic statistics resources Aaditya’s course, Game-theoretic probability, statistics, and learning: https://www.stat.cmu.edu/~aramdas/gtpsl/index.html Papers of interest: Time-uniform central limit theory and asymptotic confidence sequences: https://arxiv.org/abs/2103.06476 Game-theoretic statistics and safe anytime-valid inference: https://arxiv.org/abs/2103.06476 Discussion papers: Safe Testing: https://arxiv.org/abs/1906.07801 Testing by Betting: https://academic.oup.com/jrsssa/article/184/2/407/7056412 Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats ? Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp
Released:
May 1, 2024
Format:
Podcast episode
Titles in the series (56)
Talking Target Trials with Miguel Hernan | Episode 01: Ellie Murray and Lucy D'Agostino McGowan try to keep it casual in the first episode of the new Casual Inference podcast. Episode 1 features special guest Miguel Hernan from Harvard TH Chan School of Public Health. Listen to learn how to improve your... by Casual Inference