40 citations · 62 across the 8 of their papers we have counts for
3 papers · 1 filter
Choice Set Confounding in Discrete Choice
Kiran Tomlinson, Johan Ugander, Austin R. Benson
Standard methods in preference learning involve estimating the parameters of discrete choice models from data of selections (choices) made by individuals from a discrete set of alt…
Discovering Context Effects from Raw Choice Data
Arjun Seshadri, Alexander Peysakhovich, Johan Ugander
Many applications in preference learning assume that decisions come from the maximization of a stable utility function. Yet a large experimental literature shows that individual ch…
Choosing to Rank
Stephen Ragain, Johan Ugander
Ranking data arises in a wide variety of application areas but remains difficult to model, learn from, and predict. Datasets often exhibit multimodality, intransitivity, or incompl…