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Luke Hewitt

dblp:165/0741 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference
approximate inference		 0.612022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface · ICLR 2022
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference › variational inference
wake-sleep algorithm		 0.612022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface · ICLR 2022

Methods — techniques the papers use, named apart from their topics

variational inference · 0.6memoisation · 0.6
YearPublicationVenuePosition
2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Tuan Anh Le 0001, Katie Collins, Luke Hewitt, Kevin Ellis, N. Siddharth 0001, Samuel Gershman, Josh Tenenbaum
 ICLR3
2015 WOLFE: An NLP-friendly Declarative Machine Learning Stack
abstract
Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations. 2015.
Sameer Singh 0001, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel 0001
 HLT-NAACL3