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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...
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06/17/2022
Strategic Representation
Humans have come to rely on machines for reducing excessive information ...
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04/28/2022
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
More than 5 million children under five years die from largely preventab...
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07/06/2021
Causal Bandits on General Graphs
We study the problem of determining the best intervention in a Causal Ba...
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02/23/2021
Strategic Classification in the Dark
Strategic classification studies the interaction between a classificatio...
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02/14/2021
State-Visitation Fairness in Average-Reward MDPs
Fairness has emerged as an important concern in automated decision-makin...
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12/13/2020
Budgeted and Non-budgeted Causal Bandits
Learning good interventions in a causal graph can be modelled as a stoch...
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07/17/2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
Fast Fourier transform, Wavelets, and other well-known transforms in sig...
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06/15/2020
Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests
Equivalence testing for a polynomial family g_m over a field F is the fo...
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07/23/2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
We study an interesting variant of the stochastic multi-armed bandit pro...
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05/27/2019