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cs.LG2021
Sequential Naive Learning
Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank
We analyze boundedly rational updating from aggregate statistics in a model with binary actions and binary states. Agents each take an irreversible action in sequence after observi…
cs.LG2018
Learning of Optimal Forecast Aggregation in Partial Evidence Environments
Yakov Babichenko, Dan Garber
We consider the forecast aggregation problem in repeated settings, where the forecasts are done on a binary event. At each period multiple experts provide forecasts about an event.…