4 papers
A Theoretical Model for Grit in Pursuing Ambitious Ends
Avrim Blum, Emily Diana, Kavya Ravichandran +1
Ambition and risk-taking have been heralded as important ways for marginalized communities to get out of cycles of poverty. As a result, educational messaging often encourages indi…
Reconciling Predictive Multiplicity in Practice
Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana +1
Many machine learning applications predict individual probabilities, such as the likelihood that a person develops a particular illness. Since these probabilities are unknown, a ke…
Reconciling Heterogeneous Effects in Causal Inference
Audrey Chang, Emily Diana, Alexander Williams Tolbert
In this position and problem pitch paper, we offer a solution to the reference class problem in causal inference. We apply the Reconcile algorithm for model multiplicity in machine…
Pessimism Traps and Algorithmic Interventions
Avrim Blum, Emily Diana, Kavya Ravichandran +1
In this paper, we relate the philosophical literature on pessimism traps to information cascades, a formal model derived from the economics and mathematics literature. A pessimism…