Search Results for author: Onur Atan

Found 9 papers, 0 papers with code

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling

no code implementations18 Dec 2018 Karan Aggarwal, Onur Atan, Ahmed Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta

Classically, this problem has been posed in two different ways which are typically solved independently: (1) Remaining useful life (RUL) estimation as a long-term prediction task to estimate how much time is left in the useful life of the equipment and (2) Failure prediction (FP) as a short-term prediction task to assess the probability of a failure within a pre-specified time window.

Multi-Task Learning

Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation

no code implementations5 Oct 2018 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).

Learning Optimal Policies from Observational Data

no code implementations23 Feb 2018 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.

Domain Adaptation Selection bias

Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features

no code implementations23 Dec 2016 Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar

This paper proposes a novel approach for constructing effective personalized policies when the observed data lacks counter-factual information, is biased and possesses many features.

counterfactual Counterfactual Inference

Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks

no code implementations14 Jun 2016 Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein

We derive a sublinear regret bound, which characterizes the learning speed and proves that our algorithm converges to the optimal cache content placement strategy in terms of maximizing the number of cache hits.

Data-Driven Online Decision Making with Costly Information Acquisition

no code implementations11 Feb 2016 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 maker.

Decision Making Recommendation Systems

Predicting Grades

no code implementations16 Aug 2015 Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar

We derive a confidence estimate for the prediction accuracy and demonstrate the performance of our algorithm on a dataset obtained based on the performance of approximately 700 UCLA undergraduate students who have taken an introductory digital signal processing over the past 7 years.

Global Bandits

no code implementations29 Mar 2015 Onur Atan, Cem Tekin, Mihaela van der Schaar

In the case in which rewards of all arms are deterministic functions of a single unknown parameter, we construct a greedy policy that achieves {\em bounded regret}, with a bound that depends on the single true parameter of the problem.

Decision Making Informativeness +1

Global Bandits with Holder Continuity

no code implementations29 Oct 2014 Onur Atan, Cem Tekin, Mihaela van der Schaar

Specifically, we prove that the parameter-free (worst-case) regret is sublinear in time, and decreases with the informativeness of the arms.


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