Variable Selection via Thompson Sampling (Revision)
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1928514
Abstract: Thompson sampling is a heuristic algorithm for the multi-armed bandit problem which has a long tradition in machine learning. The algorithm has a Bayesian spirit in the sense that it selects arms b... read more here.
Keywords: via thompson; thompson sampling; sampling revision; selection via ... See more keywords
Nonlinear Variable Selection via Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1814305
Abstract: Abstract This article presents a general framework for high-dimensional nonlinear variable selection using deep neural networks under the framework of supervised learning. The network architecture includes both a selection layer and approximation layers. The problem… read more here.
Keywords: deep neural; neural networks; selection; selection via ... See more keywords
Variation-Aware Cloud Service Selection via Collaborative QoS Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2019.2895784
Abstract: As the number of cloud services (CSs) offering similar functionality is growing, more attention has been payed on the quality of service (QoS) of CSs. However, in a dynamic cloud environment, the explicit and inherent… read more here.
Keywords: variation aware; selection via; variation; qos ... See more keywords
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny Häggström.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12787
Abstract: In this discussion we consider why it is important to estimate causal effect parameters well even they are not identified, propose a partially identified approach for causal inference in the presence of colliders, point out… read more here.
Keywords: discussion data; driven confounder; confounder selection; data driven ... See more keywords
Selection on X1 + X2 + ⋯ + Xm via Cartesian product trees
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.483
Abstract: Selection on the Cartesian product is a classic problem in computer science. Recently, an optimal algorithm for selection on A + B, based on soft heaps, was introduced. By combining this approach with layer-ordered heaps… read more here.
Keywords: cartesian product; selection; selection via; via cartesian ... See more keywords