Kamesh Munagala
12 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(69)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(8)
Artificial Intelligence
(6)
Optimization
(6)
Core AI
(5)
Application Areas
(4)
Optimization & Theory
(4)
Mathematics
(3)
Core Methods
(2)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Foundations
(1)
Keywords
social choice
(2)
game theory
(2)
approximation bound
(2)
algorithmic fairness
(1)
bayesian inference
(1)
k-means clustering
(1)
mechanism design
(1)
sample complexity
(1)
bandit setting
(1)
markov chain monte carlo
(1)
regret minimization
(1)
posterior distribution
(1)
dynamic programming
(1)
resource allocation
(1)
combinatorial algorithm
(1)
machine learning
(1)
thompson sampling
(1)
fairness
(1)
online learning
(1)
stochastic optimization
(1)
Papers
Fair Division via the Cake-Cutting Share
AAAI 2025
Individual Fairness in Graph Decomposition
ICML 2024
Competing against Adaptive Strategies in Online Learning via Hints
AISTATS 2023
All Politics is Local: Redistricting via Local Fairness
NeurIPS 2022
Locally Fair Partitioning
AAAI 2022
Fair for All: Best-effort Fairness Guarantees for Classification
AISTATS 2021
Robust Allocations with Diversity Constraints
NeurIPS 2021
Adaptive Probing Policies for Shortest Path Routing
NeurIPS 2020
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
IJCAI 2020
Proportionally Fair Clustering
ICML 2019
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice
AAAI 2019
Stochastic Regret Minimization via Thompson Sampling
COLT 2014