Efficient Learning in Stationary and Non-stationary OSA Scenario with QoS Guaranty

Learning in Non-stationary Environments

Projected non-stationary simultaneous iterative methods

In this paper, we study Projected non-stationary Simultaneous It-erative Reconstruction Techniques (P-SIRT). Based on algorithmic op-erators, convergence result are adjusted with Opial’s Theorem. The advantages of P-SIRT are demonstrated on examples taken from to-mographic imaging.

Efficient Contextual Bandits in Non-stationary Worlds

Most contextual bandit algorithms minimize regret to the best fixed policy–a questionable benchmark for non-stationary environments ubiquitous in applications. In this work, we obtain efficient contextual bandit algorithms with strong guarantees for alternate notions of regret suited to these non-stationary environments. Two of our algorithms equip existing methods for i.i.d problems with sophi...

Diversity, margins and non-stationary learning

Stationary and non-stationary time series

Time series analysis is about the study of data collected through time. The field of time series is a vast one that pervades many areas of science and engineering particularly statistics and signal processing: this short article can only be an advertisement. Hence, the first thing to say is that there are several excellent texts on time series analysis. Most statistical books concentrate on sta...