Y. X. Rachel Wang

Orcid: 0000-0003-0594-680X

According to our database1, Y. X. Rachel Wang authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Adaptive conformal classification with noisy labels.
CoRR, 2023

2022
Statistics in everyone's backyard: An impact study via citation network analysis.
Patterns, 2022

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data.
CoRR, 2022

2021
When random initializations help: a study of variational inference for community detection.
J. Mach. Learn. Res., 2021

2020
On hyperparameter tuning in general clustering problemsm.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Theoretical Case Study of Structured Variational Inference for Community Detection.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems.
CoRR, 2019

Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal.
CoRR, 2019

2018
Generalized correlation measure using count statistics for gene expression data with ordered samples.
Bioinform., 2018

GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphs.
Bioinform., 2018

Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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