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ORCIDKristian Lum
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2020 – today
- 2024
[c12]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. EMNLP 2024: 21516-21532- [i14]Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour:
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR abs/2402.12649 (2024) - [i13]Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. CoRR abs/2406.03198 (2024) - [i12]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 abs/2406.11757 (2024) - [i11]Avijit Ghosh, Tomo Lazovich, Kristian Lum, Christo Wilson:
Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study. CoRR abs/2409.08135 (2024) - [i10]Johannes Himmelreich, Arbie Hsu, Kristian Lum, Ellen Veomett:
The Intersectionality Problem for Algorithmic Fairness. CoRR abs/2411.02569 (2024) - 2023
- [j3]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): 100822 (2023) - [c11]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: 1038-1048 - 2022
- [j2]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): 100568 (2022) - [c10]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: 366-378 - [c9]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. FAccT 2022: 379-389 - [i9]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 abs/2202.01615 (2022) - [i8]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. CoRR abs/2205.05770 (2022) - [i7]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 abs/2205.13505 (2022) - [i6]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 abs/2205.14867 (2022) - [i5]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 abs/2209.05000 (2022) - [i4]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 abs/2211.08667 (2022) - 2021
- [c8]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 - [c7]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: 1-6 - [i3]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 abs/2106.05498 (2021) - [i2]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 abs/2109.08245 (2021) - 2020
- [c6]Kristian Lum, Chesa Boudin, Megan Price:
The impact of overbooking on a pre-trial risk assessment tool. FAT* 2020: 482-491
2010 – 2019
- 2016
- [i1]Kristian Lum, James E. Johndrow:
A statistical framework for fair predictive algorithms. CoRR abs/1610.08077 (2016) - 2013
- [j1]Yi Zhang, Kristian Lum, Jun Yang:
Failure-Aware Cascaded Suppression in Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 25(5): 1042-1055 (2013) - [c5]James E. Johndrow, David B. Dunson, Kristian Lum:
Diagonal Orthant Multinomial Probit Models. AISTATS 2013: 29-38 - [c4]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:
Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. AAMAS 2013: 949-956 - [c3]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: 1105-1112 - [c2]Rajesh Subbiah, Kristian Lum, Achla Marathe, Madhav V. Marathe:
Activity based energy demand modeling for residential buildings. ISGT 2013: 1-6 - [c1]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 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: 1515-1526
Coauthor Index
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