Search Results for author: Daniel Björkegren

Found 4 papers, 1 papers with code

(Machine) Learning What Policies Value

no code implementations1 Jun 2022 Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight

When a policy prioritizes one person over another, is it because they benefit more, or because they are preferred?

BIG-bench Machine Learning

Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria

no code implementations28 Feb 2022 Daniel Björkegren, Joshua Blumenstock, Omowunmi Folajimi-Senjobi, Jacqueline Mauro, Suraj R. Nair

Digital loans have exploded in popularity across low and middle income countries, providing short term, high interest credit via mobile phones.

Credit score

Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning

1 code implementation ICML 2020 Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock

Our theoretical results characterize the optimal strategies in this class, bound the Pareto errors due to inaccuracies in the scores, and show an equivalence between optimal strategies and a rich class of fairness-constrained profit-maximizing policies.

BIG-bench Machine Learning Fairness

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