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Xin Bing
Xin Bing
Assistant Professor, Department of Statistical Sciences, University of Toronto
Verified email at utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Adaptive estimation in structured factor models with applications to overlapping clustering
X Bing, F Bunea, Y Ning, M Wegkamp
432020
Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models
X Bing, MH Wegkamp
The Annals of Statistics 47 (6), 3157-3184, 2019
332019
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics
X Bing, F Bunea, M Wegkamp
322020
Optimal estimation of sparse topic models
X Bing, F Bunea, M Wegkamp
Journal of machine learning research 21 (177), 1-45, 2020
302020
Prediction under latent factor regression: Adaptive pcr, interpolating predictors and beyond
X Bing, F Bunea, S Strimas-Mackey, M Wegkamp
Journal of Machine Learning Research 22 (177), 1-50, 2021
162021
SLIDE: significant latent factor interaction discovery and exploration across biological domains
J Rahimikollu, H Xiao, AE Rosengart, ABI Rosen, T Tabib, PM Zdinak, ...
Nature Methods, 1-11, 2024
132024
Adaptive estimation in multivariate response regression with hidden variables
X Bing, Y Ning, Y Xu
The annals of statistics 50 (2), 640-672, 2022
132022
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics
X Bing, F Bunea, M Wegkamp
arXiv preprint arXiv:1805.06837, 2018
112018
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
X Bing, F Bunea, S Strimas-Mackey, M Wegkamp
The Annals of Statistics 50 (6), 3307-3333, 2022
102022
Essential regression: a generalizable framework for inferring causal latent factors from multi-omic datasets
X Bing, T Lovelace, F Bunea, M Wegkamp, SP Kasturi, H Singh, ...
Patterns 3 (5), 2022
102022
Inference in latent factor regression with clusterable features
X Bing, F Bunea, M Wegkamp
Bernoulli 28 (2), 997-1020, 2022
102022
The sketched Wasserstein distance for mixture distributions
X Bing, F Bunea, J Niles-Weed
arXiv preprint arXiv:2206.12768, 2022
82022
Inference in high-dimensional multivariate response regression with hidden variables
X Bing, W Cheng, H Feng, Y Ning
Journal of the American Statistical Association 119 (547), 2066-2077, 2024
72024
Latent model-based clustering for biological discovery
X Bing, F Bunea, M Royer, J Das
Iscience 14, 125-135, 2019
72019
Essential regression
X Bing, F Bunea, M Wegkamp, S Strimas-Mackey
arXiv preprint arXiv:1905.12696, 2019
72019
Unique sparse decomposition of low rank matrices
D Jin, X Bing, Y Zhang
Advances in Neural Information Processing Systems 34, 523-535, 2021
62021
Adaptive estimation of multivariate regression with hidden variables
X Bing, Y Ning, Y Xu
arXiv preprint arXiv:2003.13844, 2020
62020
Prediction in latent factor regression: Adaptive pcr and beyond
X Bing, F Bunea, S Strimas-Mackey, M Wegkamp
arXiv preprint arXiv:2007.10050, 2020
52020
Sparse latent factor models with pure variables for overlapping clustering
X Bing, F Bunea, Y Ning, M Wegkamp
arXiv preprint arXiv:1704.06977, 2017
52017
Estimation and inference for the Wasserstein distance between mixing measures in topic models
X Bing, F Bunea, J Niles-Weed
arXiv preprint arXiv:2206.12768, 2022
42022
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Articles 1–20