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STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge
Empirical risk minimization is perhaps the most influential idea in stat...
06/25/2020 ∙ by Benjamin Coleman, et al. ∙
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RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time
Approximate set membership is a common problem with wide applications in...
10/07/2019 ∙ by Gaurav Gupta, et al. ∙
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Learning in Confusion: Batch Active Learning with Noisy Oracle
We study the problem of training machine learning models incrementally u...
09/27/2019 ∙ by Gaurav Gupta, et al. ∙
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Learning Latent Fractional dynamics with Unknown Unknowns
Despite significant effort in understanding complex systems (CS), we lac...
11/02/2018 ∙ by Gaurav Gupta, et al. ∙
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Data-driven Perception of Neuron Point Process with Unknown Unknowns
Identification of patterns from discrete data time-series for statistica...
11/02/2018 ∙ by Ruochen Yang, et al. ∙
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Approximate Submodular Functions and Performance Guarantees
We consider the problem of maximizing non-negative non-decreasing set fu...
06/17/2018 ∙ by Gaurav Gupta, et al. ∙
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Anonymizing k-Facial Attributes via Adversarial Perturbations
A face image not only provides details about the identity of a subject b...
05/23/2018 ∙ by Saheb Chhabra, et al. ∙
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Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Brain interfaces are cyber-physical systems that aim to harvest informat...
03/27/2018 ∙ by Gaurav Gupta, et al. ∙
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Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
This paper focuses on analysis and design of time-varying complex networ...
03/10/2018 ∙ by Gaurav Gupta, et al. ∙
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Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents
In this digital era, one thing that still holds the convention is a prin...
06/20/2017 ∙ by Hardik Jain, et al. ∙
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