2018
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
NeurIPS 2018poster
Understanding how humans perceive the likability of high-dimensional
3 accepted papers
Understanding how humans perceive the likability of high-dimensional
Understanding how humans and animals learn about statistical regularities in stable and volatile environments, and utilize these regularities to make predictions and decisions, is an important problem in neuroscience and psychology. Using a Bayesian modeling framework, specifically the Dynamic Belie…
How humans make repeated choices among options with imperfectly known reward outcomes is an important problem in psychology and neuroscience. This is often studied using multi-armed bandits, which is also frequently studied in machine learning. We present data from a human stationary bandit experime…