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researcher

H. Fu

14 papers hereh-index 242.8k citations105 works total

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

author position
  • middle author10
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • stat.ME10
  • stat.ML3
  • stat.AP1
same name
  • H. Fu — 117 papers, h 82
  • H. Fu — 81 papers, h 36
  • H. Fu — 35 papers, h 15
  • H. Fu — 31 papers, h 17
  • H. Fu — 21 papers, h 16
  • H. Fu — 19 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedNear-optimal Individualized Treatment Recommendations

3 citations · 11 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

stat.ME2021★ 2 cited

Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules

Kushal S. Shah, Haoda Fu, Michael R. Kosorok

In recent years, the field of precision medicine has seen many advancements. Significant focus has been placed on creating algorithms to estimate individualized treatment rules (IT…

stat.ML2021

Query-augmented Active Metric Learning

Yujia Deng, Yubai Yuan, Haoda Fu +1

In this paper we propose an active metric learning method for clustering with pairwise constraints. The proposed method actively queries the label of informative instance pairs, wh…

stat.ME2021

Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension

Yunan Wu, Lan Wang, Haoda Fu

This paper develops new tools to quantify uncertainty in optimal decision making and to gain insight into which variables one should collect information about given the potential c…

stat.ME2021★ 1 cited

Deep Neural Networks Guided Ensemble Learning for Point Estimation

Tianyu Zhan, Haoda Fu, Jian Kang

In modern statistics, interests shift from pursuing the uniformly minimum variance unbiased estimator to reducing mean squared error (MSE) or residual squared error. Shrinkage base…

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