29 citations · 57 across the 7 of their papers we have counts for
4 papers · 1 filter
Data Transformation Insights in Self-supervision with Clustering Tasks
Abhimanu Kumar, Aniket Anand Deshmukh, Urun Dogan +2
Self-supervision is key to extending use of deep learning for label scarce domains. For most of self-supervised approaches data transformations play an important role. However, up…
A Generalization Error Bound for Multi-class Domain Generalization
Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma +3
Domain generalization is the problem of assigning labels to an unlabeled data set, given several similar data sets for which labels have been provided. Despite considerable interes…
Simple Regret Minimization for Contextual Bandits
Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler +2
There are two variants of the classical multi-armed bandit (MAB) problem that have received considerable attention from machine learning researchers in recent years: contextual ban…
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clayton Scott
Contextual bandits are a form of multi-armed bandit in which the agent has access to predictive side information (known as the context) for each arm at each time step, and have bee…