7 citations · 18 across the 16 of their papers we have counts for
4 papers · 1 filter
Sequential Decision Problems with Weak Feedback
Arun Verma
This thesis considers sequential decision problems, where the loss/reward incurred by selecting an action may not be inferred from observed feedback. A major part of this thesis fo…
Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
Bayesian optimization (BO) is a widely-used sequential method for zeroth-order optimization of complex and expensive-to-compute black-box functions. The existing BO methods assume…
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction Models
Srijith Balakrishnan, Beatrice Cassottana, Arun Verma
Recent studies increasingly adopt simulation-based machine learning (ML) models to analyze critical infrastructure system resilience. For realistic applications, these ML models co…
Federated Neural Bandits
Zhongxiang Dai, Yao Shu, Arun Verma +3
Recent works on neural contextual bandits have achieved compelling performances due to their ability to leverage the strong representation power of neural networks (NNs) for reward…