304 citations · 428 across the 8 of their papers we have counts for
9 papers
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling
Karan Aggarwal, Onur Atan, Ahmed Farahat +3
One of the key challenges in predictive maintenance is to predict the impending downtime of an equipment with a reasonable prediction horizon so that countermeasures can be put in…
Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation
Onur Atan, William R. Zame, Mihaela van der Schaar
Randomized Controlled Trials (RCTs) are the gold standard for comparing the effectiveness of a new treatment to the current one (the control). Most RCTs allocate the patients to th…
Learning Optimal Policies from Observational Data
Onur Atan, William R. Zame, M van der Schaar
Choosing optimal (or at least better) policies is an important problem in domains from medicine to education to finance and many others. One approach to this problem is through con…
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features
Onur Atan, William R. Zame, Qiaojun Feng +1
This paper proposes a novel approach for constructing effective personalized policies when the observed data lacks counter-factual information, is biased and possesses many feature…
Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks
Sabrina Müller, Onur Atan, Mihaela van der Schaar +1
Content caching in small base stations or wireless infostations is considered to be a suitable approach to improve the efficiency in wireless content delivery. Placing the optimal…
Data-Driven Online Decision Making with Costly Information Acquisition
Onur Atan, Mihaela van der Schaar
In most real-world settings such as recommender systems, finance, and healthcare, collecting useful information is costly and requires an active choice on the part of the decision…
Predicting Grades
Yannick Meier, Jie Xu, Onur Atan +1
To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important probl…
Global Bandits
Onur Atan, Cem Tekin, Mihaela van der Schaar
Multi-armed bandits (MAB) model sequential decision making problems, in which a learner sequentially chooses arms with unknown reward distributions in order to maximize its cumulat…
Global Bandits with Holder Continuity
Onur Atan, Cem Tekin, Mihaela van der Schaar
Standard Multi-Armed Bandit (MAB) problems assume that the arms are independent. However, in many application scenarios, the information obtained by playing an arm provides informa…