Xin Bing

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
One-shot Robust Federated Learning of Independent Component Analysis.
CoRR
Dian Jin, Xin Bing, Yuqian Zhang
2024 J jnl
Learning large softmax mixtures with warm start EM.
CoRR
Xin Bing, Florentina Bunea, Jonathan Niles-Weed, Marten H. Wegkamp
2024 A* conf
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features.
ICML
Chao Wang, Xin Bing, Xin He, Caixing Wang
2023 J jnl
Optimal vintage factor analysis with deflation varimax.
CoRR
Xin Bing, Dian Jin, Yuqian Zhang
2023 J jnl
Unique Sparse Decomposition of Low Rank Matrices.
IEEE Trans. Inf. Theory
Dian Jin, Xin Bing, Yuqian Zhang
2022 J jnl
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets.
Patterns
Xin Bing, Tyler Lovelace, Florentina Bunea, Marten H. Wegkamp, Sudhir Pai Kasturi, Harinder Singh, Panayiotis V. Benos, Jishnu Das
2022 J jnl
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures.
CoRR
Xin Bing, Marten H. Wegkamp
2021 J jnl
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond.
J. Mach. Learn. Res.
Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp
2021 A* conf
Unique sparse decomposition of low rank matrices.
NeurIPS
Dian Jin, Xin Bing, Yuqian Zhang
2021 J jnl
Unique sparse decomposition of low rank matrices.
CoRR
Dian Jin, Xin Bing, Yuqian Zhang
2020 J jnl
Optimal Estimation of Sparse Topic Models.
J. Mach. Learn. Res.
Xin Bing, Florentina Bunea, Marten H. Wegkamp
2020 J jnl
Optimal estimation of sparse topic models.
CoRR
Xin Bing, Florentina Bunea, Marten H. Wegkamp
2020 J jnl
Prediction in latent factor regression: Adaptive PCR and beyond.
CoRR
Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp
2018 J jnl
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics.
CoRR
Xin Bing, Florentina Bunea, Marten H. Wegkamp