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stat.ML2026★ 19 cited
Non-negative matrix factorization algorithms generally improve topic model fits
Peter Carbonetto, Abhishek Sarkar, Zihao Wang +1
In an effort to develop topic modeling methods that can be quickly applied to large data sets, we revisit the problem of maximum-likelihood estimation in topic models. It is known,…
stat.ML2026
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
Bohan Zhang, Zihao Wang, Hengyu Fu +1
In deep learning, a central issue is to understand how neural networks efficiently learn high-dimensional features. To this end, we explore the gradient descent learning of a gener…