From the 1 of 4 linked papers with an AI index.
4 papers
Active Exploration via Autoregressive Generation of Missing Data
Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1
The paper proposes using autoregressive sequence models to quantify uncertainty and guide exploration in online decision-making, showing that Bayesian regret can be bounded by offl…
Impatient Bandits: Optimizing for the Long-Term Without Delay
Kelly W. Zhang, Thomas Baldwin-McDonald, Kamil Ciosek +2
Increasingly, recommender systems are tasked with improving users' long-term satisfaction. In this context, we study a content exploration task, which we formalize as a bandit prob…
Contextual Thompson Sampling via Generation of Missing Data
Kelly W. Zhang, Tiffany Tianhui Cai, Hongseok Namkoong +1
We introduce a framework for Thompson sampling (TS) contextual bandit algorithms, in which the algorithm's ability to quantify uncertainty and make decisions depends on the quality…
Is It Safe To Learn And Share? On Psychological Safety and Social Learning in (Agile) Communities of Practice
Christiaan Verwijs, Evelien Acun-Roos, Daniel Russo
As hybrid, distributed, and asynchronous work models become more prevalent, continuous learning in Agile Software Development (ASD) gains renewed importance. Communities of Practic…