Brandon Fain

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 26

Top Topics

Sample Complexity

Computationally Feasible

Reinforcement Learning

Top Venues

Proc. VLDB Endow.

Publications

Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala
Fairness in the Assignment Problem with Uncertain Priorities. CoRR (2023)
Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain
Do Not Harm Protected Groups in Debiasing Language Representation Models. CoRR (2023)
Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain
Welfare and Fairness in Multi-objective Reinforcement Learning. AAMAS (2023)
Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala
Fairness in the Assignment Problem with Uncertain Priorities. AAMAS (2023)
Nianli Peng, Brandon Fain
Nonlinear Multi-objective Reinforcement Learning with Provable Guarantees. CoRR (2023)
David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala
Multi-Analyst Differential Privacy for Online Query Answering. Proc. VLDB Endow. 16 (4) (2022)
David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala
Multi-Analyst Differential Privacy for Online Query Answering. CoRR (2022)
Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain
Welfare and Fairness in Multi-objective Reinforcement Learning. CoRR (2022)
Jerry Lin, Carolyn Chen, Marc Chmielewski, Samia Zaman, Brandon Fain
Auditing for Gerrymandering by Identifying Disenfranchised Individuals. FAccT (2022)
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang
Centrality with Diversity. WSDM (2021)
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang
Centrality with Diversity. CoRR (2021)
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
Budget Sharing for Multi-Analyst Differential Privacy. Proc. VLDB Endow. 14 (10) (2021)
Brandon Fain, William Fan, Kamesh Munagala
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. CoRR (2020)
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
Budget Sharing for Multi-Analyst Differential Privacy. CoRR (2020)
Brandon Fain, William Fan, Kamesh Munagala
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. IJCAI (2020)
Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala
Proportionally Fair Clustering. ICML (2019)
Xingyu Chen, Brandon Fain, Charles Lyu, Kamesh Munagala
Proportionally Fair Clustering. CoRR (2019)
Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. AAAI (2019)
Brandon Fain, Kamesh Munagala, Nisarg Shah
Fair Allocation of Indivisible Public Goods. CoRR (2018)
Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. CoRR (2018)
Brandon Fain, Kamesh Munagala, Nisarg Shah
Fair Allocation of Indivisible Public Goods. EC (2018)
Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu
ROBUS: Fair Cache Allocation for Data-parallel Workloads. SIGMOD Conference (2017)
Brandon Fain, Ashish Goel, Kamesh Munagala, Sukolsak Sakshuwong
Sequential Deliberation for Social Choice. WINE (2017)
Brandon Fain, Ashish Goel, Kamesh Munagala, Sukolsak Sakshuwong
Sequential Deliberation for Social Choice. CoRR (2017)
Brandon Fain, Ashish Goel, Kamesh Munagala
The Core of the Participatory Budgeting Problem. WINE (2016)
Brandon Fain, Ashish Goel, Kamesh Munagala
The Core of the Participatory Budgeting Problem. CoRR (2016)
Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu
ROBUS: Fair Cache Allocation for Multi-tenant Data-parallel Workloads. CoRR (2015)