Diagonal Orthant Multinomial Probit Models. - James E. Johndrow; David B. Dunson; Kristian Lum (AISTATS, 2013)

Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. - Nidhi 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 (AAMAS, 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 (CSE, 2013)

Activity based energy demand modeling for residential buildings. - Rajesh Subbiah; Kristian Lum; Achla Marathe; Madhav V. Marathe (ISGT, 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; et al. (WSC, 2013)

Failure-Aware Cascaded Suppression in Wireless Sensor Networks. - Yi Zhang 011; Kristian Lum; Jun Yang 001 (IEEE Trans. Knowl. Data Eng., 2013)

A statistical framework for fair predictive algorithms. - Kristian Lum; James E. Johndrow (CoRR, 2016)

The impact of overbooking on a pre-trial risk assessment tool. - Kristian Lum; Chesa Boudin; Megan Price (FAT*, 2020)

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 (NeurIPS Datasets and Benchmarks, 2021)

The 2021 RecSys Challenge Dataset: Fairness is not optional. - Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Kristian Lum; Jonathan Hunt; Michael M. Bronstein; Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; et al. (RecSys Challenge, 2021)

De-biasing "bias" measurement. - Kristian Lum; Yunfeng Zhang; Amanda Bower (FAccT, 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 (FAccT, 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)

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)

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, 2022)

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 (FAccT, 2023)

STAR: SocioTechnical Approach to Red Teaming Language Models. - Laura Weidinger; John Mellor; Bernat Guillen Pegueroles; Nahema Marchal; Ravin Kumar; Kristian Lum; Canfer Akbulut; Mark Diaz; A. Stevie Bergman; Mikel Rodriguez; Verena Rieser; William Isaac 001 (EMNLP, 2024)

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. - Kristian Lum; Jacy Reese Anthis; Chirag Nagpal; Alexander D'Amour (CoRR, 2024)

The Impossibility of Fair LLMs. - Jacy Reese Anthis; Kristian Lum; Michael D. Ekstrand; Avi Feller; Alexander D'Amour; Chenhao Tan (CoRR, 2024)

Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study. - Avijit Ghosh; Tomo Lazovich; Kristian Lum; Christo Wilson (CoRR, 2024)

The Intersectionality Problem for Algorithmic Fairness. - Johannes Himmelreich; Arbie Hsu; Kristian Lum; Ellen Veomett (CoRR, 2024)

The Impossibility of Fair LLMs. - Jacy Reese Anthis; Kristian Lum; Michael D. Ekstrand; Avi Feller; Chenhao Tan (ACL (1), 2025)

Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation. - Kristian Lum; Jacy Reese Anthis; Kevin Robinson; Chirag Nagpal; Alexander Nicholas D'Amour (ACL (1), 2025)