Search Results for author: Anna Rafferty

Found 5 papers, 1 papers with code

Using Adaptive Experiments to Rapidly Help Students

no code implementations10 Aug 2022 Angela Zavaleta-Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna Rafferty, Andrew Petersen, Joseph Jay Williams

Adaptive experiments can increase the chance that current students obtain better outcomes from a field experiment of an instructional intervention.

Thompson Sampling

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits

no code implementations10 Aug 2022 Fernando J. Yanez, Angela Zavaleta-Bernuy, Ziwen Han, Michael Liut, Anna Rafferty, Joseph Jay Williams

We highlight problems with these adaptive algorithms - such as possible exploitation of an arm when there is no significant difference - and address their causes and consequences.

Management Multi-Armed Bandits +1

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

no code implementations15 Dec 2021 Tong Li, Jacob Nogas, Haochen Song, Harsh Kumar, Audrey Durand, Anna Rafferty, Nina Deliu, Sofia S. Villar, Joseph J. Williams

TS-PostDiff takes a Bayesian approach to mixing TS and Uniform Random (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.

Thompson Sampling

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments

no code implementations22 Mar 2021 Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna Rafferty

We therefore use our case study of the ubiquitous two-arm binary reward setting to empirically investigate the impact of using Thompson Sampling instead of uniform random assignment.

Thompson Sampling

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