Course Schedule

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Meeting	Date	Topic and Materials
1	F 09/11	Course Overview + Intro to Calibration Please fill out this short Google Form You should have an invitation to the course Slack Materials: notes, slides Interesting Reading: Aaron Roth, Uncertain: Modern Topics in Uncertainty Estimation Dean Foster and Rakesh Vohra, Asymptotic Calibration Sergiu Hart, Calibrated Forecasts: The Minimax Proof
2	T 09/15	Guest Lecture by Lunjia Hu Measures of Calibration Materials: notes, slides Interesting Reading: Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, and Preetum Nakkiran, A Unifying Theory of Distance from Calibration Parikshit Gopalan and Lunjia Hu, Calibration through the Lens of Indistinguishability Lunjia Hu, From Convex Analysis to Learning, Prediction, and Elicitation: Lecture 9, Section 2
3	F 09/18	Guest Lecture by Lunjia Hu Calibration and Decision Making Materials: notes, slides Interesting Reading: Lunjia Hu and Yifan Wu, Calibration Error for Decision Making Konstantina Bairaktari, Lunjia Hu, Huy L. Nguyen, and Jonathan Ullman, Testable and Actionable Calibration for Full Swap Regret
4	T 09/22	Multicalibration Materials: notes, slides Interesting Reading: Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, and Guy N. Rothblum, Calibration for the (Computationally-Identifiable) Masses
5	F 09/25	Catch Up Day Materials: notes, slides
6	T 09/29	Omniprediction Materials: notes, slides Interesting Reading: Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, and Udi Wieder, Omnipredictors Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, and Udi Wieder, Loss Minimization Through the Lens of Outcome Indistinguishability
7	F 10/02
8	T 10/06
9	F 10/09
10	T 10/13
11	F 10/16
12	T 10/20
13	F 10/23
14	T 10/27
15	F 10/30
16	T 11/03
17	F 11/06
18	T 11/10
19	F 11/13
20	T 11/17
21	F 11/20
22	T 11/24
—	F 11/27	No Class: Thanksgiving Break
23	T 12/01
24	F 12/04
25	T 12/08
26	F 12/11	Project Presentations
27	T 12/15	Project Presentations
28	F 12/18	Project Presentations