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2020 – today
- 2024
- [c2]Chao Wang, Xin Bing, Xin He, Caixing Wang:
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features. ICML 2024 - 2023
- [j4]Dian Jin
, Xin Bing
, Yuqian Zhang
:
Unique Sparse Decomposition of Low Rank Matrices. IEEE Trans. Inf. Theory 69(4): 2452-2484 (2023) - [i6]Xin Bing, Dian Jin, Yuqian Zhang:
Optimal vintage factor analysis with deflation varimax. CoRR abs/2310.10545 (2023) - 2022
- [j3]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): 100473 (2022) - [i5]Xin Bing, Marten H. Wegkamp:
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures. CoRR abs/2210.14347 (2022) - 2021
- [j2]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: 177:1-177:50 (2021) - [c1]Dian Jin, Xin Bing, Yuqian Zhang:
Unique sparse decomposition of low rank matrices. NeurIPS 2021: 523-535 - [i4]Dian Jin, Xin Bing, Yuqian Zhang:
Unique sparse decomposition of low rank matrices. CoRR abs/2106.07736 (2021) - 2020
- [j1]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
Optimal Estimation of Sparse Topic Models. J. Mach. Learn. Res. 21: 177:1-177:45 (2020) - [i3]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
Optimal estimation of sparse topic models. CoRR abs/2001.07861 (2020) - [i2]Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp
:
Prediction in latent factor regression: Adaptive PCR and beyond. CoRR abs/2007.10050 (2020)
2010 – 2019
- 2018
- [i1]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics. CoRR abs/1805.06837 (2018)
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