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07/14/2023
On the Sublinear Regret of GP-UCB
In the kernelized bandit problem, a learner aims to sequentially compute...
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07/03/2023
Adaptive Principal Component Regression with Applications to Panel Data
Principal component regression (PCR) is a popular technique for fixed-de...
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06/15/2022
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
There is a disconnect between how researchers and practitioners handle p...
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03/10/2022
Fully Adaptive Composition in Differential Privacy
Composition is a key feature of differential privacy. Well-known advance...
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05/19/2020
Optimal Resource Allocation for Elastic and Inelastic Jobs
Modern data centers are tasked with processing heterogeneous workloads c...
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09/19/2018
Efficient Formal Safety Analysis of Neural Networks
Neural networks are increasingly deployed in real-world safety-critical ...
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04/28/2018