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1. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories

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2. Understanding and Detecting Online Misinformation with Auxiliary Data

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3. Learning about and over Networks: Optimized Designs for Network Tomography and Decentralized Learning 

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