Xin Bing

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Discriminant Functions

Low Rank Matrices

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Xin Bing, Dian Jin, Yuqian Zhang
Optimal vintage factor analysis with deflation varimax. CoRR (2023)
Dian Jin, Xin Bing, Yuqian Zhang
Unique Sparse Decomposition of Low Rank Matrices. IEEE Trans. Inf. Theory 69 (4) (2023)
Xin Bing, Tyler Lovelace, Florentina Bunea, Marten H. Wegkamp, Sudhir Pai Kasturi, Harinder Singh, Panayiotis V. Benos, Jishnu Das
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets. Patterns 3 (5) (2022)
Xin Bing, Marten H. Wegkamp
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures. CoRR (2022)
Dian Jin, Xin Bing, Yuqian Zhang
Unique sparse decomposition of low rank matrices. NeurIPS (2021)
Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond. J. Mach. Learn. Res. 22 (2021)
Dian Jin, Xin Bing, Yuqian Zhang
Unique sparse decomposition of low rank matrices. CoRR (2021)
Xin Bing, Florentina Bunea, Marten H. Wegkamp
Optimal estimation of sparse topic models. CoRR (2020)
Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp
Prediction in latent factor regression: Adaptive PCR and beyond. CoRR (2020)
Xin Bing, Florentina Bunea, Marten H. Wegkamp
Optimal Estimation of Sparse Topic Models. J. Mach. Learn. Res. 21 (2020)
Xin Bing, Florentina Bunea, Marten H. Wegkamp
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics. CoRR (2018)