Kristian Lum

According to our database, Kristian Lum authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation.

Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour

CoRR, 2024

2023

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.

Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury

Patterns, August, 2023

Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.

Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline.

Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt

CoRR, 2022

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems.

Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli

CoRR, 2022

Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants.

Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

De-biasing "bias" measurement.

Kristian Lum, Yunfeng Zhang, Amanda Bower

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.

Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.

Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

The impact of overbooking on a pre-trial risk assessment tool.

Kristian Lum, Chesa Boudin, Megan Price

Proceedings of the FAT* '20: Conference on Fairness, 2020

2016

A statistical framework for fair predictive algorithms.

Kristian Lum, James E. Johndrow

CoRR, 2016

2013

Failure-Aware Cascaded Suppression in Wireless Sensor Networks.

Yi Zhang, Kristian Lum, Jun Yang

IEEE Trans. Knowl. Data Eng., 2013

Planning and response in the aftermath of a large crisis: An agent-based informatics framework.

Christopher L. Barrett, Keith R. Bisset, Shridhar Chandan, Jiangzhuo Chen, Youngyun Chungbaek, Stephen G. Eubank, C. Yaman Evrenosoglu, Bryan L. Lewis, Kristian Lum, Achla Marathe, Madhav V. Marathe, Henning S. Mortveit, Nidhi Kiranbhai Parikh, Arun G. Phadke, Jeffrey H. Reed, Caitlin M. Rivers, Sudip Saha, Paula Elaine Stretz, Samarth Swarup, James S. Thorp, Anil Vullikanti, Dawen Xie

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Activity based energy demand modeling for residential buildings.

Rajesh Subbiah, Kristian Lum, Achla Marathe, Madhav V. Marathe

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

A Synthetic Information Approach to Urban-Scale Disaster Modeling.

Samarth Swarup, Kristian Lum, Christopher L. Barrett, Keith R. Bisset, Stephen G. Eubank, Madhav V. Marathe, Paula Elaine Stretz

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation.

Nidhi Kiranbhai Parikh, Samarth Swarup, Paula Elaine Stretz, Caitlin M. Rivers, Bryan L. Lewis, Madhav V. Marathe, Stephen G. Eubank, Christopher L. Barrett, Kristian Lum, Youngyun Chungbaek

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Diagonal Orthant Multinomial Probit Models.

James E. Johndrow, David B. Dunson, Kristian Lum

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013