4 papers
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…
Learning Interpretable Feature Context Effects in Discrete Choice
Kiran Tomlinson, Austin R. Benson
The outcomes of elections, product sales, and the structure of social connections are all determined by the choices individuals make when presented with a set of options, so unders…
Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions
Patty Commins, David Liben-Nowell, Tina Liu +1
Algorithms to find optimal alignments among strings, or to find a parsimonious summary of a collection of strings, are well studied in a variety of contexts, addressing a wide rang…
Choice Set Optimization Under Discrete Choice Models of Group Decisions
Kiran Tomlinson, Austin R. Benson
The way that people make choices or exhibit preferences can be strongly affected by the set of available alternatives, often called the choice set. Furthermore, there are usually h…