activity
20192022
most citedIndividual Fairness in Feature-Based Pricing for Monopoly Markets

4 citations · 5 across the 3 of their papers we have counts for

collaborators

7 papers

cs.GT20224 cited

Individual Fairness in Feature-Based Pricing for Monopoly Markets

Shantanu Das, Swapnil Dhamal, Ganesh Ghalme +2

We study fairness in the context of feature-based price discrimination in monopoly markets. We propose a new notion of individual fairness, namely, α-fairness, which guarantees tha…

cs.LG2021

Sleeping Combinatorial Bandits

Kumar Abhishek, Ganesh Ghalme, Sujit Gujar +1

In this paper, we study an interesting combination of sleeping and combinatorial stochastic bandits. In the mixed model studied here, at each discrete time instant, an arbitrary \e…

cs.LG2021

Strategic Classification in the Dark

Ganesh Ghalme, Vineet Nair, Itay Eilat +2

Strategic classification studies the interaction between a classification rule and the strategic agents it governs. Under the assumption that the classifier is known, rational agen…

cs.LG2020

Ballooning Multi-Armed Bandits

Ganesh Ghalme, Swapnil Dhamal, Shweta Jain +2

In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a novel extension of the classical stochastic MAB model. In the BL-MAB model, the set of available arms grows (…

cs.LG2019

Achieving Fairness in the Stochastic Multi-armed Bandit Problem

Vishakha Patil, Ganesh Ghalme, Vineet Nair +1

We study an interesting variant of the stochastic multi-armed bandit problem, called the Fair-SMAB problem, where each arm is required to be pulled for at least a given fraction of…

cs.LG20191 cited

Achieving Fairness in Stochastic Multi-armed Bandit Problem

Vishakha Patil, Ganesh Ghalme, Vineet Nair +1

We study an interesting variant of the stochastic multi-armed bandit problem, called the Fair-SMAB problem, where each arm is required to be pulled for at least a given fraction of…