Kamesh Munagala

Kamesh Munagala

Duke University

H-index: 47

North America-United States

About Kamesh Munagala

Kamesh Munagala, With an exceptional h-index of 47 and a recent h-index of 25 (since 2020), a distinguished researcher at Duke University, specializes in the field of Algorithms, Algorithmic Game Theory, Decision Sciences, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Approximation Algorithms for School Assignment: Group Fairness and Multi-criteria Optimization

Data Exchange Markets via Utility Balancing

Fair price discrimination

Probabilistic Metric Embedding via Metric Labeling

Classification with Partially Private Features

Achieving parity with human moderators: A self-moderating platform for online deliberation 1

Fair Multiwinner Elections with Allocation Constraints

ACHIEVING PARITY WITH HUMAN MODERATORS

Kamesh Munagala Information

University

Position

Professor of Computer Science

Citations(all)

7526

Citations(since 2020)

2258

Cited By

6185

hIndex(all)

47

hIndex(since 2020)

25

i10Index(all)

85

i10Index(since 2020)

57

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Kamesh Munagala Skills & Research Interests

Algorithms

Algorithmic Game Theory

Decision Sciences

Big Data

Top articles of Kamesh Munagala

Title

Journal

Author(s)

Publication Date

Approximation Algorithms for School Assignment: Group Fairness and Multi-criteria Optimization

arXiv preprint arXiv:2403.15623

Kamesh Munagala

Meghana Nasre

Govind S Sankar

2024/3/22

Data Exchange Markets via Utility Balancing

arXiv preprint arXiv:2401.13053

Aditya Bhaskara

Sreenivas Gollapudi

Sungjin Im

Kostas Kollias

Kamesh Munagala

...

2024/1/23

Fair price discrimination

Siddhartha Banerjee

Kamesh Munagala

Yiheng Shen

Kangning Wang

2024

Probabilistic Metric Embedding via Metric Labeling

Kamesh Munagala

Govind S Sankar

Erin Taylor

2023

Classification with Partially Private Features

arXiv preprint arXiv:2312.07583

Zeyu Shen

Anilesh Krishnaswamy

Janardhan Kulkarni

Kamesh Munagala

2023/12/11

Achieving parity with human moderators: A self-moderating platform for online deliberation 1

Lodewijk Gelauff

Liubov Nikolenko

Sukolsak Sakshuwong

James Fishkin

Ashish Goel

...

2023

Fair Multiwinner Elections with Allocation Constraints

Ivan-Aleksandar Mavrov

Kamesh Munagala

Yiheng Shen

2023/7/9

ACHIEVING PARITY WITH HUMAN MODERATORS

The Routledge Handbook of Collective Intelligence for Democracy and Governance

Lodewijk Gelauff

Liubov Nikolenko

Sukolsak Sakshuwong

James Fishkin

Ashish Goel

...

2023/6/19

Competing against Adaptive Strategies in Online Learning via Hints

Aditya Bhaskara

Kamesh Munagala

2023/4/11

Fairness in the Assignment Problem with Uncertain Priorities

arXiv preprint arXiv:2301.13804

Zeyu Shen

Zhiyi Wang

Xingyu Zhu

Brandon Fain

Kamesh Munagala

2023/1/31

The limits of an information intermediary in auction design

Reza Alijani

Siddhartha Banerjee

Kamesh Munagala

Kangning Wang

2022/7/12

Locally fair partitioning

Proceedings of the AAAI Conference on Artificial Intelligence

Pankaj K Agarwal

Shao-Heng Ko

Kamesh Munagala

Erin Taylor

2022/6/28

Auditing for core stability in participatory budgeting

Kamesh Munagala

Yiheng Shen

Kangning Wang

2022/12/9

Representational Robustness in Social Choice

Lodewijk Gelauff

Ashish Goel

Merced Sungjin Im UC

Kamesh Munagala

2022

All politics is local: Redistricting via local fairness

Advances in Neural Information Processing Systems

Shao-Heng Ko

Erin Taylor

Pankaj Agarwal

Kamesh Munagala

2022/12/6

Approximate core for committee selection via multilinear extension and market clearing

Kamesh Munagala

Yiheng Shen

Kangning Wang

Zhiyi Wang

2022

Online learning and bandits with queried hints

arXiv preprint arXiv:2211.02703

Aditya Bhaskara

Sreenivas Gollapudi

Sungjin Im

Kostas Kollias

Kamesh Munagala

2022/11/4

Optimal price discrimination for randomized mechanisms

Shao-Heng Ko

Kamesh Munagala

2022/7/12

Optimal algorithms for multiwinner elections and the chamberlin-courant rule

Kamesh Munagala

Zeyu Shen

Kangning Wang

2021/7/18

Fair for all: Best-effort fairness guarantees for classification

Anilesh Krishnaswamy

Zhihao Jiang

Kangning Wang

Yu Cheng

Kamesh Munagala

2021/3/18

See List of Professors in Kamesh Munagala University(Duke University)

Co-Authors

H-index: 103
Jennifer Widom

Jennifer Widom

Stanford University

H-index: 86
alan e gelfand

alan e gelfand

Duke University

H-index: 85
Pankaj K. Agarwal

Pankaj K. Agarwal

Duke University

H-index: 64
Vincent Conitzer

Vincent Conitzer

Duke University

H-index: 61
Romit Roy Choudhury

Romit Roy Choudhury

University of Illinois at Urbana-Champaign

H-index: 54
Ashish Goel

Ashish Goel

Stanford University

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