72 citations · 85 across the 9 of their papers we have counts for
9 papers
Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application
Jianjun Yuan, Wei Lee Woon, Ludovik Coba
This paper presents an efficient algorithm to solve the sleeping bandit with multiple plays problem in the context of an online recommendation system. The problem involves bounded,…
Online Convex Optimization with Long Term Constraints for Predictable Sequences
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
In this paper, we investigate the framework of Online Convex Optimization (OCO) for online learning. OCO offers a very powerful online learning framework for many applications. In…
Online Learning for Predictive Control with Provable Regret Guarantees
Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil +1
We study the problem of online learning in predictive control of an unknown linear dynamical system with time varying cost functions which are unknown apriori. Specifically, we stu…
Adaptive Gradient Online Control
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
In this work we consider the online control of a known linear dynamic system with adversarial disturbance and adversarial controller cost. The goal in online control is to minimize…
Online Convex Optimization in Changing Environments and its Application to Resource Allocation
Jianjun Yuan
In the era of the big data, we create and collect lots of data from all different kinds of sources: the Internet, the sensors, the consumer market, and so on. Many of the data are…
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Jianjun Yuan, Andrew Lamperski
Recursive least-squares algorithms often use forgetting factors as a heuristic to adapt to non-stationary data streams. The first contribution of this paper rigorously characterize…
Online Adaptive Principal Component Analysis and Its extensions
Jianjun Yuan, Andrew Lamperski
We propose algorithms for online principal component analysis (PCA) and variance minimization for adaptive settings. Previous literature has focused on upper bounding the static ad…
Online convex optimization for cumulative constraints
Jianjun Yuan, Andrew Lamperski
We propose the algorithms for online convex optimization which lead to cumulative squared constraint violations of the form ,…
Global solutions of two coupled Maxwell systems in the temporal gauge
Jianjun Yuan
In this paper, we consider the Maxwell-Klein-Gordon and Maxwell-Chern-Simons-Higgs systems in the temporal gauge. By using the fact that when the spatial gauge potentials are in th…