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11/08/2022
Adaptive Data Depth via Multi-Armed Bandits
Data depth, introduced by Tukey (1975), is an important tool in data sci...
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03/18/2022
Approximate Function Evaluation via Multi-Armed Bandits
We study the problem of estimating the value of a known smooth function ...
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06/01/2021
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
Extreme multi-label classification (XMC) aims to learn a model that can ...
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11/09/2020
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
Pairwise alignment of DNA sequencing data is a ubiquitous task in bioinf...
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02/23/2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Consider N cooperative but non-communicating players where each plays on...
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06/11/2019