Wednesday, March 13, 2024

Calibration for Decision Making: A Principled Approach to Trustworthy ML

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 Over on the Let-All blog, Georgy Noarov and I wrote post on calibration through the lens of decision making. We think calibration has stron...
Monday, October 03, 2022

Batch Multivalid Conformal Prediction

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  Our new paper gives very simple algorithms that promise "multivalid" conformal prediction sets for exchangable data. This mean...
Friday, June 03, 2022

Practical, Robust, and Equitable Uncertainty Estimation

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This is a post about a new paper that is joint work with Bastani, Gupta, Jung, Noarov, and Ramalingam. The paper is here:  https://arxiv.org...
Tuesday, February 02, 2021

FORC 2021 Call for Papers

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 Reminder to anyone who has forgotten about FORC 2021 --- its a very nice venue --- and also a nice place to highlight recent work that is p...
Friday, January 15, 2021

How to Estimate the Uncertainty of Predictions

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This is a post about a new paper Online Multivalid Learning: Means, Moments, and Prediction Intervals , that is joint work with Varun Gupta...
Tuesday, September 01, 2020

No Regret Algorithms from the Min Max Theorem

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The existence of no-regret learning algorithms can be used to prove Von-Neumann's min-max theorem . This argument is originally due to...
Wednesday, August 19, 2020

Moment Multicalibration for Uncertainty Estimation

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This blog post is about a new paper that I'm excited about, which is joint work with Chris Jung , Changhwa Lee , Mallesh Pai , and ...