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10/23/2022
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets
The problem of robust binary hypothesis testing is studied. Under both h...
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07/20/2022
Adaptive Step-Size Methods for Compressed SGD
Compressed Stochastic Gradient Descent (SGD) algorithms have been recent...
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06/20/2022
Multiple Testing Framework for Out-of-Distribution Detection
We study the problem of Out-of-Distribution (OOD) detection, that is, de...
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04/10/2021
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning
Recent works show that including group equivariance as an inductive bias...
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01/12/2021
Dynamic Spectrum Access using Stochastic Multi-User Bandits
A stochastic multi-user multi-armed bandit framework is used to develop ...
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10/21/2019
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum Access
Multi-user multi-armed bandits have emerged as a good model for uncoordi...
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10/21/2019