Papers

When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
Ben Aoki-Sherwood, Catherine Bregou, David Liben-Nowell, Kiran Tomlinson, Thomas Zeng
AISTATS, 2025.
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Replicating Electoral Success
Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander, Jon Kleinberg
AAAI, 2025.
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Exclusion Zones of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
arXiv, 2025.
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The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
AAAI, 2024.
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Graph-based Methods for Discrete Choice
Kiran Tomlinson, Austin R. Benson
Network Science, 2023.
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Workplace Recommendation with Temporal Network Objectives
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
KDD, 2023.
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Targeted Training for Multi-Organization Recommendation
Kiran Tomlinson, Mengting Wan, Cao Lu, Brent Hecht, Jaime Teevan, Longqi Yang
ACM TORS, 2023.
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Ballot Length in Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
AAAI, 2023.
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Learning Interpretable Feature Context Effects in Discrete Choice
Kiran Tomlinson, Austin R. Benson
KDD, 2021.
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Choice Set Confounding in Discrete Choice
Kiran Tomlinson, Johan Ugander, Austin R. Benson
KDD, 2021.
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Choice Set Optimization Under Discrete Choice Models of Group Decisions
Kiran Tomlinson, Austin R. Benson
ICML, 2020.
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Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions
Patty Commins, David Liben-Nowell, Tina Liu, Kiran Tomlinson
CPM, 2020.
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Distance Measures for Tumor Evolutionary Trees
Zach DiNardo, Kiran Tomlinson, Anna Ritz, Layla Oesper
Bioinformatics, 2020.
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Parameter, Noise, and Tree Topology Effects in Tumor Phylogeny Inference
Kiran Tomlinson, Layla Oesper
BMC Medical Genomics, 2019.
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Phase Lengths in the Cyclic Cellular Automaton
Kiran Tomlinson
CSC, 2019.
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Examining Tumor Phylogeny Inference in Noisy Sequencing Data
Kiran Tomlinson, Layla Oesper
BIBM, 2018.
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