This thesis considers sequential decision problems, where the loss/rewar...
This thesis considers sequential decision problems, where the loss/rewar...
Bayesian optimization (BO) is a widely-used sequential method for
zeroth...
Recent works on neural contextual bandit have achieved compelling
perfor...
Recent studies increasingly adopt simulation-based machine learning (ML)...
This paper studies a new variant of the stochastic multi-armed bandits
p...
We consider the problem of sequentially allocating resources in a censor...
In this paper, we study Contextual Unsupervised Sequential Selection (US...
Thompson Sampling has generated significant interest due to its better
e...
In this paper, we study a novel Stochastic Network Utility Maximization ...
Recent advances in wireless radio frequency (RF) energy harvesting allow...
In medical diagnosis, physicians predict the state of a patient by check...
In this paper, we study Censored Semi-Bandits, a novel variant of the
se...
In many security and healthcare systems, the detection and diagnosis sys...
Technical and fundamental analysis are traditional tools used to analyze...