Xin Bing

According to our database, Xin Bing authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning large softmax mixtures with warm start EM.

Xin Bing, Florentina Bunea, Jonathan Niles-Weed, Marten H. Wegkamp

CoRR, 2024

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features.

Chao Wang, Xin Bing, Xin He, Caixing Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unique Sparse Decomposition of Low Rank Matrices.

Dian Jin, Xin Bing, Yuqian Zhang

IEEE Trans. Inf. Theory, April, 2023

Optimal vintage factor analysis with deflation varimax.

Xin Bing, Dian Jin, Yuqian Zhang

CoRR, 2023

2022

Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets.

Xin Bing, Tyler Lovelace, Florentina Bunea, Marten H. Wegkamp, Sudhir Pai Kasturi, Harinder Singh, Panayiotis V. Benos, Jishnu Das

Patterns, 2022

Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures.

Xin Bing, Marten H. Wegkamp

CoRR, 2022

2021

Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond.

Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp

J. Mach. Learn. Res., 2021

2020

Optimal Estimation of Sparse Topic Models.

Xin Bing, Florentina Bunea, Marten H. Wegkamp

J. Mach. Learn. Res., 2020

Prediction in latent factor regression: Adaptive PCR and beyond.

Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp

CoRR, 2020

2018

A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics.

Xin Bing, Florentina Bunea, Marten H. Wegkamp

CoRR, 2018