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researcher

D. Bindel

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedScalable Log Determinants for Gaussian Process Kernel Learning

27 citations · 27 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2017

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models

Moontae Lee, David Bindel, David Mimno

Spectral topic modeling algorithms operate on matrices/tensors of word co-occurrence statistics to learn topic-specific word distributions. This approach removes the dependence on…

stat.ML2017★ 27 cited

Scalable Log Determinants for Gaussian Process Kernel Learning

Kun Dong, David Eriksson, Hannes Nickisch +2

For applications as varied as Bayesian neural networks, determinantal point processes, elliptical graphical models, and kernel learning for Gaussian processes (GPs), one must compu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.