This paper delves into the partial monitoring (PM) framework and its application to sequential learning problems with incomplete feedback. The authors introduce a new class of strategies based on the…
Continue readingThis paper offers a different understanding of the Adam optimizer, a popular choice in deep neural network training. Despite its practical success, the theoretical understanding of Adam’s algorithmic components has…
Continue readingThe paper proposes using techniques from control theory to update Deep Neural Networks (DNN) parameters online. It formulates the fully-connected feedforward DNN as a continuous-time dynamical system. The authors present…
Continue readingThe research paper presents an active learning framework for Android malware detection called ActDroid. With the growing popularity of Android, the need for effective malware detection systems has increased. The…
Continue readingThis research examines the impact of peer acknowledgement on learner engagement and psychological attributes in social annotations on an online reading platform. The study reveals a correlation between higher peer…
Continue readingThe article introduces MT-CO 2OL, a new decentralized algorithm for multitask online learning. This algorithm operates in a setting where agents exchange information via a communication network. The regret, or…
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