no code implementations • 8 Feb 2024 • Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar
At the first level, Bi-Level Fairness guarantees a certain minimum exposure to each group.
no code implementations • 19 Aug 2022 • Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan
We study the tension that arises between two seemingly conflicting objectives in the horizon-unaware setting: a) maximizing the cumulative reward at any time based on current rewards of the arms, and b) ensuring that arms with better long-term rewards get sufficient opportunities even if they initially have low rewards.
no code implementations • 17 Jun 2022 • Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld
In our main setting of interest, the system represents attributes of an item to the user, who then decides whether or not to consume.
1 code implementation • 2 Sep 2021 • Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
We revisit the problem of fair clustering, first introduced by Chierichetti et al., that requires each protected attribute to have approximately equal representation in every cluster; i. e., a balance property.
no code implementations • 3 Jun 2021 • Kumar Abhishek, Ganesh Ghalme, Sujit Gujar, Yadati Narahari
An algorithm can select a subset of arms from the \emph{availability set} (sleeping bandits) and receive the corresponding reward along with semi-bandit feedback (combinatorial bandits).
1 code implementation • 23 Feb 2021 • Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
Strategic classification studies the interaction between a classification rule and the strategic agents it governs.
no code implementations • 14 Feb 2021 • Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
Fairness has emerged as an important concern in automated decision-making in recent years, especially when these decisions affect human welfare.
no code implementations • 24 Jan 2020 • Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a novel extension of the classical stochastic MAB model.
no code implementations • 23 Jul 2019 • Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
Finally, we evaluate the cost of fairness in terms of the conventional notion of regret.
no code implementations • 27 May 2019 • Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
Finally, we evaluate the cost of fairness in terms of the conventional notion of regret.