Learning large softmax mixtures with warm start EM.
CoRR, 2024
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Unique Sparse Decomposition of Low Rank Matrices.
IEEE Trans. Inf. Theory, April, 2023
Optimal vintage factor analysis with deflation varimax.
CoRR, 2023
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets.
Patterns, 2022
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures.
CoRR, 2022
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond.
J. Mach. Learn. Res., 2021
Optimal Estimation of Sparse Topic Models.
J. Mach. Learn. Res., 2020
Prediction in latent factor regression: Adaptive PCR and beyond.
CoRR, 2020
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics.
CoRR, 2018