Fetching the paper…
Reading the bibliography…
We consider an online binary prediction setting where a forecaster observes a sequence of $T$ bits one by one.
Verification of forecasts expressed in terms of probability
Glenn W Brier · 1950
Earlier work this paper cites.
The well-calibrated bayesian
A Philip Dawid · 1982
Earlier work this paper cites.
Asymptotic calibration
Dean P Foster and Rakesh V Vohra · 1998
Earlier work this paper cites.
An easier way to calibrate
Drew Fudenberg and David K Levine · 1999
Earlier work this paper cites.
A proof of calibration via blackwell’s approachability theorem
Dean P Foster · 1999
Earlier work this paper cites.
Any inspection is manipulable
Ehud Lehrer · 2001
Earlier work this paper cites.
Calibration with many checking rules
Alvaro Sandroni, Rann Smorodinsky, and Rakesh V Vohra · 2003
Earlier work this paper cites.
Non-asymptotic calibration and resolution
Vladimir Vovk · 2007
Earlier work this paper cites.
Complexity-based approach to calibration with checking rules
Dean P Foster, Alexander Rakhlin, Karthik Sridharan, and Ambuj Tewari · 2011
Cited alongside, same era.
Online learning: Beyond regret
Alexander Rakhlin, Karthik Sridharan, and Ambuj Tewari · 2011
Cited alongside, same era.
Calibrated structured prediction
Volodymyr Kuleshov and Percy S Liang · 2015
Cited alongside, same era.
On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Inherent trade-offs in the fair determination of risk scores
Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan · 2017
Cited alongside, same era.
On fairness and calibration
Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Verified uncertainty calibration
Ananya Kumar, Percy S Liang, and Tengyu Ma · 2019
Later among the works it cites.
With malice towards none: Assessing uncertainty via equalized coverage
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, and Emmanuel J Candès · 2019
Later among the works it cites.
Forecast-hedging and calibration
Dean P Foster and Sergiu Hart · 2020
Closest in time.
Calibrated forecasts: The minimax proof
Sergiu Hart · 2020
Closest in time.
Moment multicalibration for uncertainty estimation
Christopher Jung, Changhwa Lee, Mallesh M Pai, Aaron Roth, and Rakesh Vohra · 2020
Closest in time.
Sample complexity of uniform convergence for multicalibration
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Calibration for the (computationally-identifiable) masses
Ursula Hebert-Johnson, Michael Kim, Omer Reingold, and Guy Rothblum · 2018
Cited alongside, same era.
Eliran Shabat, Lee Cohen, and Yishay Mansour · 2020
Closest in time.
Individual calibration with randomized forecasting
Shengjia Zhao, Tengyu Ma, and Stefano Ermon · 2020
Closest in time.