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Tianzong Zhang

dblp:264/2668 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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
2 papers
Probabilistic and Bayesian machine learning · 40% Learning theory · 30% Deep learning architectures and training · 30%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference › variational inference › particle-based variational inference
stein variational gradient descent
0.612022
Understanding the Variance Collapse of SVGD in High Dimensions · ICLR 2022
Machine learning › Learning theory
generalization bounds
0.412020
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint · ICLR 2020
Machine learning › Deep learning architectures and training › feedforward neural network
two-layer neural network
0.412020
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint · ICLR 2020

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

asymptotic analysis · 0.4
YearPublicationVenuePosition
2022 Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang
ICLR7
2020 Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Denny Wu, Tianzong Zhang
ICLR5