Kristian Lum

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Risk Assessment

Benchmark Datasets

Top Venues

RecSys Challenge

Publications

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
STAR: SocioTechnical Approach to Red Teaming Language Models. CoRR (2024)
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan
The Impossibility of Fair LLMs. CoRR (2024)
Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR (2024)
Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT (2023)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4 (8) (2023)
Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR (2022)
Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants. CoRR (2022)
Kristian Lum, Yunfeng Zhang, Amanda Bower
De-biasing "bias" measurement. CoRR (2022)
Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR (2022)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR (2022)
Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants. FAccT (2022)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3 (8) (2022)
Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. CoRR (2022)
Kristian Lum, Yunfeng Zhang, Amanda Bower
De-biasing "bias" measurement. FAccT (2022)
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
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR (2021)
Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. NeurIPS Datasets and Benchmarks (2021)
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
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge (2021)
Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. CoRR (2021)
Kristian Lum, Chesa Boudin, Megan Price
The impact of overbooking on a pre-trial risk assessment tool. FAT* (2020)
Kristian Lum, James E. Johndrow
A statistical framework for fair predictive algorithms. CoRR (2016)
James E. Johndrow, David B. Dunson, Kristian Lum
Diagonal Orthant Multinomial Probit Models. AISTATS (2013)
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
Planning and response in the aftermath of a large crisis: An agent-based informatics framework. WSC (2013)
Rajesh Subbiah, Kristian Lum, Achla Marathe, Madhav V. Marathe
Activity based energy demand modeling for residential buildings. ISGT (2013)
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
Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. AAMAS (2013)
Samarth Swarup, Kristian Lum, Christopher L. Barrett, Keith R. Bisset, Stephen G. Eubank, Madhav V. Marathe, Paula Elaine Stretz
A Synthetic Information Approach to Urban-Scale Disaster Modeling. CSE (2013)
Yi Zhang, Kristian Lum, Jun Yang
Failure-Aware Cascaded Suppression in Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)