paper-conference

The Moderating Effect of Instant Runoff Voting

We prove that instant runoff voting favors moderate candidates in a way that plurality does not in a 1-dimensional preference model.

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Workplace Recommendation with Temporal Network Objectives

Workplace communication software such as Microsoft Teams, Slack, and Google Workspace have become integral to workplace collaboration, …

Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu

Ballot Length in Instant Runoff Voting

We theoretically and empirically investigate the impact of ballot length in instant runoff voting elections.

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Learning Interpretable Feature Context Effects in Discrete Choice

We introduce a broad class of context effects in discrete choice and show that these effects are common in choice data, including choices coming from social networks.

Kiran Tomlinson, Austin R. Benson

Choice Set Confounding in Discrete Choice

We show how confounding can mislead choice models and adapt several causal inference methods to train unbiased models from observational data.

Kiran Tomlinson, Johan Ugander, Austin R. Benson

Choice Set Confounding in Discrete Choice

Choice Set Optimization Under Discrete Choice Models of Group Decisions

We study the problem of finding the optimal set of alternatives to introduce to a group to minimize their disagreement and other related problems.

Kiran Tomlinson, Austin R. Benson

Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions

We examine the problem of reconstructing the history of diverging string sequences, inspired by chain email petitions.

Patty Commins, David Liben-Nowell, Tina Liu, Kiran Tomlinson

Phase Lengths in the Cyclic Cellular Automaton

The cyclic cellular automaton model of excitable media evolves through phases whose lengths are described by simple power laws.

Kiran Tomlinson

Examining Tumor Phylogeny Inference in Noisy Sequencing Data

We explore when and how well tumor evolutionary histories can be inferred from multi-sample bulk sequencing data.

Kiran Tomlinson, Layla Oesper