Publications associées à Independent increments

Consider a stream of status updates generated by a source, where each update is of one of two types: high priority or ordinary (low priority). These updates are to be transmitted through a network to a monitor. However, the transmission policy of each pack ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Rachid Guerraoui, Rhicheek Patra

Recommenders personalize the web content using collaborative filtering to relate users (or items). This work proposes to unify user-based, item-based and neural word embeddings types of recommenders under a single abstraction for their input, we name Consu ...

Springer2019

Content Based Status Updates

Emre Telatar, Elie Najm, Rajai Nasser

Consider a stream of status updates generated by a source, where each update is of one of two types: priority or ordinary; these updates are to be transmitted through a network to a monitor. We analyze a transmission policy that treats updates depending on ...

2018

Content Based Status Updates

Emre Telatar, Elie Najm, Rajai Nasser

IEEE2018

Bayesian Uncertainty Management in Temporal Dependence of Extremes

Anthony Christopher Davison, Thomas Lugrin, Jonathan A. Tawn

Both marginal and dependence features must be described when modelling the extremes of a stationary time series. There are standard approaches to marginal modelling, but long- and short-range dependence of extremes may both appear. In applications, an assu ...

Springer Verlag2016

Bayesian uncertainty management in temporal dependence of extremes

Anthony Christopher Davison, Thomas Lugrin, Jonathan A. Tawn

Both marginal and dependence features must be described when modelling the extremes of a stationary time series. There are standard approaches to marginal modelling, but long-and short-range dependence of extremes may both appear. In applications, an assum ...

Springer Verlag2016

Pose Estimation of Web-Shared Landscape Pictures

Devis Tuia, François Golay, Vincent Lepetit, Timothée Produit

We propose a robust method for registering high oblique images of landscapes. Typically, an input image can be registered by matching it against a set of registered images of the same location. While this has been shown to work very well for images of popu ...

2014

On the rate of convergence in the martingale central limit theorem

Jean-Christophe Mourrat

Consider a discrete-time martingale, and let V-2 be its normalized quadratic variation. As V-2 approaches 1, and provided that some Lindeberg condition is satisfied, the distribution of the rescaled martingale approaches the Gaussian distribution. For any ...

Int Statistical Inst2013

Back to the Future: Fault-tolerant Live Update with Time-traveling State Transfer

Calin Iorgulescu

Live update is a promising solution to bridge the need to frequently update a software system with the pressing demand for high availability in mission-critical environments. While many research solutions have been proposed over the years, systems that all ...

The USENIX Association2013

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Independent increments

Content Based Status Updates

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Content Based Status Updates

Content Based Status Updates

Bayesian Uncertainty Management in Temporal Dependence of Extremes

Bayesian uncertainty management in temporal dependence of extremes

Pose Estimation of Web-Shared Landscape Pictures

On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal

On the rate of convergence in the martingale central limit theorem

Back to the Future: Fault-tolerant Live Update with Time-traveling State Transfer

Graph Chatbot

Chattez avec Graph Search

On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal

Content Based Status Updates

Pose Estimation of Web-Shared Landscape Pictures

Back to the Future: Fault-tolerant Live Update with Time-traveling State Transfer

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Content Based Status Updates

Bayesian Uncertainty Management in Temporal Dependence of Extremes

Bayesian uncertainty management in temporal dependence of extremes

On the rate of convergence in the martingale central limit theorem