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Online Subset Selection using $α$-Core with no Augmented Regret
In this connection, we propose an online learning policy called SCore (Subset Selection with Core) that solves the problem for a large class of reward functions.
$k\texttt{-experts}$ -- Online Policies and Fundamental Limits
Unlike the classic version, where the learner selects exactly one expert from a pool of $N$ experts at each round, in this problem, the learner can select a subset of $k$ experts at each round $(1\leq k\leq N)$.
Distributed Online Optimization with Byzantine Adversarial Agents
We study the problem of non-constrained, discrete-time, online distributed optimization in a multi-agent system where some of the agents do not follow the prescribed update rule either due to failures or malicious intentions.
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing
Most of the knowledge in materials science literature is in the form of unstructured data such as text and images.
Image Comprehension
Digital Libraries
Computational Physics
Data Analysis, Statistics and Probability
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnosis of AD in vivo.
