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2020 – today
- 2023
[c11]Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. AAMAS 2023: 188-196- [c10]Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain:
Welfare and Fairness in Multi-objective Reinforcement Learning. AAMAS 2023: 1991-1999 - [i14]Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. CoRR abs/2301.13804 (2023) - [i13]Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain:
Do Not Harm Protected Groups in Debiasing Language Representation Models. CoRR abs/2310.18458 (2023) - [i12]Nianli Peng, Brandon Fain:
Nonlinear Multi-objective Reinforcement Learning with Provable Guarantees. CoRR abs/2311.02544 (2023) - 2022
- [j2]David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. Proc. VLDB Endow. 16(4): 816-828 (2022) - [c9]Jerry Lin, Carolyn Chen, Marc Chmielewski, Samia Zaman, Brandon Fain:
Auditing for Gerrymandering by Identifying Disenfranchised Individuals. FAccT 2022: 1125-1135 - [i11]Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain:
Welfare and Fairness in Multi-objective Reinforcement Learning. CoRR abs/2212.01382 (2022) - [i10]David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. CoRR abs/2212.09884 (2022) - 2021
- [j1]David Pujol, Yikai Wu
, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. Proc. VLDB Endow. 14(10): 1805-1817 (2021) - [c8]Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang:
Centrality with Diversity. WSDM 2021: 644-652 - [i9]Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang:
Centrality with Diversity. CoRR abs/2101.07371 (2021) - 2020
- [c7]Brandon Fain, William Fan, Kamesh Munagala:
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. IJCAI 2020: 110-116 - [i8]Brandon Fain, William Fan, Kamesh Munagala:
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. CoRR abs/2004.13153 (2020) - [i7]David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. CoRR abs/2011.01192 (2020)
2010 – 2019
- 2019
- [c6]Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. AAAI 2019: 1893-1900 - [c5]Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala:
Proportionally Fair Clustering. ICML 2019: 1032-1041 - [i6]Xingyu Chen, Brandon Fain, Charles Lyu, Kamesh Munagala:
Proportionally Fair Clustering. CoRR abs/1905.03674 (2019) - 2018
- [c4]Brandon Fain, Kamesh Munagala, Nisarg Shah:
Fair Allocation of Indivisible Public Goods. EC 2018: 575-592 - [i5]Brandon Fain, Kamesh Munagala, Nisarg Shah:
Fair Allocation of Indivisible Public Goods. CoRR abs/1805.03164 (2018) - [i4]Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. CoRR abs/1811.04786 (2018) - 2017
- [c3]Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu:
ROBUS: Fair Cache Allocation for Data-parallel Workloads. SIGMOD Conference 2017: 219-234 - [c2]Brandon Fain, Ashish Goel, Kamesh Munagala, Sukolsak Sakshuwong:
Sequential Deliberation for Social Choice. WINE 2017: 177-190 - [i3]Brandon Fain, Ashish Goel, Kamesh Munagala, Sukolsak Sakshuwong:
Sequential Deliberation for Social Choice. CoRR abs/1710.00771 (2017) - 2016
- [c1]Brandon Fain, Ashish Goel, Kamesh Munagala:
The Core of the Participatory Budgeting Problem. WINE 2016: 384-399 - [i2]Brandon Fain, Ashish Goel, Kamesh Munagala:
The Core of the Participatory Budgeting Problem. CoRR abs/1610.03474 (2016) - 2015
- [i1]Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu:
ROBUS: Fair Cache Allocation for Multi-tenant Data-parallel Workloads. CoRR abs/1504.06736 (2015)
Coauthor Index
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