February 2022 Archives by author
Starting: Tue Feb 1 08:02:44 EST 2022
Ending: Mon Feb 28 09:20:54 EST 2022
Messages: 14
- [Sds-seminars] [Sds-announce] SDS Talk by Ashesh Rambachan, 2/7 4pm "Identifying Prediction Mistakes in Observational Data"
Dan Spielman
- [Sds-seminars] [Sds-announce] S&DS Seminar via Zoom, Megan Lickley, 2/2, 4pm-5pm, "Targeting climate science and data science at policies"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Seminar via Zoom, Megan Lickley, 2/2, 4pm-5pm, "Targeting climate science and data science at policies"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] SDS Talk by Ashesh Rambachan, 2/7, 4pm "Identifying Prediction Mistakes in Observational Data"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Geoff Pleiss, 2/9. 4pm, "Bridging the Gap Between Deep Learning and Probabilistic Modeling"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Geoff Pleiss, 2/9. 4pm, "Bridging the Gap Between Deep Learning and Probabilistic Modeling"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Gonzalo E. Mena, 2/14, 4pm, "What can statisticians learn from the analysis of C.elegans data?"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Gonzalo E. Mena, 2/14, 4pm, "What can statisticians learn from the analysis of C.elegans data?"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Kuikui Liu, 2/16, 4pm, "Spectral Independence: A New Tool to Analyze Markov Chains"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Kuikui Liu, 2/16, 4pm, "Spectral Independence: A New Tool to Analyze Markov Chains"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Yang Song, 2/21, 4pm, "Learning to Generate Data by Estimating Gradients of the Data Distribution"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Yang Song, 2/21, 4pm, "Learning to Generate Data by Estimating Gradients of the Data Distribution"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Chara Podimata, 2/23, 4pm, "Incentive-Aware Machine Learning for Decision Making"
elizavette.torres at yale.edu
- [Sds-seminars] [Sds-announce] S&DS Talk by Lihua Lei, 2/28, 4pm, "What Can Conformal Inference Offer To Statistics?"
elizavette.torres at yale.edu
Last message date:
Mon Feb 28 09:20:54 EST 2022
Archived on: Mon Feb 28 09:21:10 EST 2022
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