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- Kamesh Munagala
Duke University, Durham, USA
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Publication search results
found 188 matches
- 2024
- Shao-Heng Ko, Kamesh Munagala:
Optimal Price Discrimination for Randomized Mechanisms. ACM Trans. Economics and Comput. 12(2): 5 (2024) - Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang:
Fair Price Discrimination. SODA 2024: 2679-2703 - Aditya Bhaskara
, Sreenivas Gollapudi
, Sungjin Im
, Kostas Kollias
, Kamesh Munagala
, Govind S. Sankar
:
Data Exchange Markets via Utility Balancing. WWW 2024: 57-65 - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar:
Data Exchange Markets via Utility Balancing. CoRR abs/2401.13053 (2024) - Santhini K. A., Kamesh Munagala, Meghana Nasre, Govind S. Sankar:
Approximation Algorithms for School Assignment: Group Fairness and Multi-criteria Optimization. CoRR abs/2403.15623 (2024) - Kamesh Munagala, Govind S. Sankar:
Individual Fairness in Graph Decomposition. CoRR abs/2406.00213 (2024) - Kamesh Munagala, Yiheng Shen, Renzhe Xu:
The Limits of Interval-Regulated Price Discrimination. CoRR abs/2406.06023 (2024) - 2023
- Aditya Bhaskara, Kamesh Munagala:
Competing against Adaptive Strategies in Online Learning via Hints. AISTATS 2023: 10409-10424 - Kamesh Munagala, Govind S. Sankar, Erin Taylor:
Probabilistic Metric Embedding via Metric Labeling. APPROX/RANDOM 2023: 2:1-2:10 - Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. AAMAS 2023: 188-196 - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala
:
Online Learning and Bandits with Queried Hints. ITCS 2023: 16:1-16:24 - Ivan-Aleksandar Mavrov
, Kamesh Munagala
, Yiheng Shen
:
Fair Multiwinner Elections with Allocation Constraints. EC 2023: 964-990 - Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. CoRR abs/2301.13804 (2023) - Ivan-Aleksandar Mavrov, Kamesh Munagala, Yiheng Shen:
Fair Multiwinner Elections with Allocation Constraints. CoRR abs/2305.02868 (2023) - Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang:
Fair Price Discrimination. CoRR abs/2305.07006 (2023) - Zeyu Shen, Anilesh K. Krishnaswamy, Janardhan Kulkarni, Kamesh Munagala:
Classification with Partially Private Features. CoRR abs/2312.07583 (2023) - 2022
- Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor:
Locally Fair Partitioning. AAAI 2022: 4752-4759 - Shao-Heng Ko, Erin Taylor, Pankaj K. Agarwal, Kamesh Munagala:
All Politics is Local: Redistricting via Local Fairness. NeurIPS 2022 - Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang
:
The Limits of an Information Intermediary in Auction Design. EC 2022: 849-868 - Shao-Heng Ko, Kamesh Munagala
:
Optimal Price Discrimination for Randomized Mechanisms. EC 2022: 477-496 - Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang:
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. SODA 2022: 2229-2252 - Kamesh Munagala
, Yiheng Shen
, Kangning Wang
:
Auditing for Core Stability in Participatory Budgeting. WINE 2022: 292-310 - Shao-Heng Ko, Kamesh Munagala:
Optimal Price Discrimination for Randomized Mechanisms. CoRR abs/2205.04687 (2022) - Kamesh Munagala, Yiheng Shen, Kangning Wang
:
Auditing for Core Stability in Participatory Budgeting. CoRR abs/2209.14468 (2022) - Shao-Heng Ko, Erin Taylor, Pankaj K. Agarwal, Kamesh Munagala:
All Politics is Local: Redistricting via Local Fairness. CoRR abs/2210.11643 (2022) - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala:
Online Learning and Bandits with Queried Hints. CoRR abs/2211.02703 (2022) - 2021
- Yu Cheng
, Nick Gravin, Kamesh Munagala, Kangning Wang
:
A Simple Mechanism for a Budget-Constrained Buyer. ACM Trans. Economics and Comput. 9(2): 10:1-10:25 (2021) - Anilesh Kollagunta Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala:
Fair for All: Best-effort Fairness Guarantees for Classification. AISTATS 2021: 3259-3267 - Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
:
Robust Allocations with Diversity Constraints. NeurIPS 2021: 29684-29696 - Kamesh Munagala, Zeyu Shen, Kangning Wang
:
Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule. EC 2021: 697-717
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