Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Krishna Jagannathan"'
Publikováno v:
Machine Learning. 112:431-458
We consider a stochastic multi-armed bandit setting and study the problem of constrained regret minimization over a given time horizon. Each arm is associated with an unknown, possibly multi-dimensional distribution, and the merit of an arm is determ
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 5, Iss , Pp 100112- (2020)
We develop an end-to-end deep learning-based anomaly detection model for temporal data in transportation networks. The proposed EVT-LSTM model is derived from the popular LSTM (Long Short-Term Memory) network and adopts an objective function that is
Externí odkaz:
https://doaj.org/article/c381f77056f243dfa34f222692962ffe
Publikováno v:
IEEE Transactions on Information Theory. 68:5248-5267
Traditional multi-armed bandit (MAB) formulations usually make certain assumptions about the underlying arms' distributions, such as bounds on the support or their tail behaviour. Moreover, such parametric information is usually 'baked' into the algo
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:6526-6535
Accurate taxi demand-supply forecasting is a challenging application of ITS (Intelligent Transportation Systems), due to the complex spatial and temporal patterns. We investigate the impact of different spatial partitioning techniques on the predicti
We study the fundamental limits of classical communication using quantum states that decohere as they traverse through a network of queues. We consider a network of Markovian queues, known as a Jackson network, with a single source or multiple source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55085f08d6ab2b19d5d66a417bb6c198
http://arxiv.org/abs/2206.04262
http://arxiv.org/abs/2206.04262
Publikováno v:
2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS).
In several applications such as clinical trials and financial portfolio optimization, the expected value (or the average reward) does not satisfactorily capture the merits of a drug or a portfolio. In such applications, risk plays a crucial role, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b8c23da7ff9dd97cfd04d64a7c16a2b
Publikováno v:
WiOpt
The Least Recently Used (LRU) policy is widely used in caching, since it is computationally inexpensive and can be implemented ‘on-the-fly.’ However, existing analyses of content- wise hit-rates under LRU have expressions whose complexity grows r
Publikováno v:
Performance Evaluation. :102310
Publikováno v:
2021 National Conference on Communications (NCC).
We consider a photonic communication system wherein the photon detector suffers a random ‘dead time’ following each successful photon detection. If subsequent photon arrivals occur during the dead time, the information contained in the photons is