Search Results for author: Arghavan Modiri

Found 2 papers, 1 papers with code

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization

no code implementations15 Dec 2021 Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna Rafferty, Joseph J. Williams

TS PostDiff takes a Bayesian approach to mixing TS and UR: the probability a participant is assigned using UR allocation is the posterior probability that the difference between two arms is `small' (below a certain threshold), allowing for more UR exploration when there is little or no reward to be gained.

Nonmyopic Multifidelity Active Search

1 code implementation11 Jun 2021 Quan Nguyen, Arghavan Modiri, Roman Garnett

Active search is a learning paradigm where we seek to identify as many members of a rare, valuable class as possible given a labeling budget.

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