research
∙
04/14/2023
Designing Fair, Cost-optimal Auctions based on Deep Learning for Procuring Agricultural Inputs through Farmer Collectives
Procuring agricultural inputs (agri-inputs for short) such as seeds, fer...
share
research
∙
11/04/2022
A Discrete and Bounded Locally Envy-Free Cake Cutting Protocol on Trees
We study the classic problem of fairly dividing a heterogeneous and divi...
research
∙
08/19/2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
We study the Improving Multi-Armed Bandit (IMAB) problem, where the rewa...
research
∙
06/17/2022
Strategic Representation
Humans have come to rely on machines for reducing excessive information ...
research
∙
05/25/2022
Envy-Free Cake Cutting with Graph Constraints
We study the classic problem of fairly dividing a heterogeneous and divi...
research
∙
02/25/2022
Individual Fairness in Feature-Based Pricing for Monopoly Markets
We study fairness in the context of feature-based price discrimination i...
research
∙
09/02/2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
We revisit the problem of fair clustering, first introduced by Chieriche...
research
∙
06/03/2021
Sleeping Combinatorial Bandits
In this paper, we study an interesting combination of sleeping and combi...
research
∙
02/23/2021
Strategic Classification in the Dark
Strategic classification studies the interaction between a classificatio...
research
∙
02/14/2021
State-Visitation Fairness in Average-Reward MDPs
Fairness has emerged as an important concern in automated decision-makin...
research
∙
01/24/2020
Ballooning Multi-Armed Bandits
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a n...
research
∙
07/23/2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
We study an interesting variant of the stochastic multi-armed bandit pro...
research
∙
05/27/2019
Stochastic Multi-armed Bandits with Arm-specific Fairness Guarantees
We study an interesting variant of the stochastic multi-armed bandit pro...
research
∙
01/27/2019
