no code implementations • 3 Sep 2022 • Raymond Feng, Jesse Geneson, Andrew Lee, Espen Slettnes
The only difference between the two models is that in the delayed, ambiguous model, the learner must answer each input before receiving the next input of the round, while the learner receives all $r$ inputs at once in the weak reinforcement model.
no code implementations • 24 Nov 2020 • David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein
Members of the machine learning community are likely to overhear allegations ranging from randomness of acceptance decisions to institutional bias.
1 code implementation • 11 Oct 2020 • David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein
Members of the machine learning community are likely to overhear allegations ranging from randomness of acceptance decisions to institutional bias.