Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Advisor "Barman, Siddharth"
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Algorithms for Fair Decision Making: Provable Guarantees and Applications
The topic of fair allocation of indivisible items has received significant attention because of its applicability in several real-world settings. This has led to a vast body of work focusing on defining appropriate fairness ... -
Algortihms for Individual and Collective Fairness Measures
The problem of fair allocation has been a central topic in economic theory, and the literature on fair division has provided fundamental insights on how to allocate resources among agents in a fair manner. By drawing upon ... -
Bandit Algorithms: Fairness, Welfare, and Applications in Causal Inference
We study regret in online learning from a welfarist perspective and explore an application of bandit algorithms in causal inference. We introduce Nash regret, which measures the difference between the optimal action ... -
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ...