Nhat Ho

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #28,745 of 35,345 by trust here, #33,294 by citations
• Statistics and Probability — 32 citations into it; #10,607 of 12,932 by trust here, #11,487 by citations

Whom Nhat Ho trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sara A. van de Geer
2. Judith Rousseau
3. Cédric Villani
4. Matthew Stephens
5. Martin J. Wainwright
6. Jeffrey W. Miller
7. Subhashis Ghosal
8. Geoffrey J. McLachlan
9. Peter Hall
10. Kerrie L. Mengersen

Who trusts Nhat Ho overall

1. Aritra Guha
2. XuanLong Nguyen
3. Mengdi Xu

Papers from Nhat Ho's perspective

Ordered by how strongly the researchers Nhat Ho trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Regression Shrinkage and Selection via the Lasso
3. Probability in Banach Spaces: Isoperimetry and Processes
4. Bayesian Density Estimation and Inference Using Mixtures
5. Rates of convergence of posterior distributions
6. Empirical Processes in M-Estimation
7. Dealing with label switching in mixture models
8. ImageNet classification with deep convolutional neural networks
9. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
10. Gradient-based learning applied to document recognition

Their papers

• On strong identifiability and convergence rates of parameter estimation in finite mixtures (2016) — 65 citations
• On posterior contraction of parameters and interpretability in Bayesian mixture modeling (2019) — 67 citations
• Singularity, misspecification and the convergence rate of EM (2018) — 76 citations