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20112023
most citedLearning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data

273 citations · 1.6k across the 53 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.LG2016★ 16 cited

Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates

Yuanzhi Li, Yingyu Liang, Andrej Risteski

Non-negative matrix factorization is a popular tool for decomposing data into feature and weight matrices under non-negativity constraints. It enjoys practical success but is poorl…

cs.LG2016★ 67 cited

Diverse Neural Network Learns True Target Functions

Bo Xie, Yingyu Liang, Le Song

Neural networks are a powerful class of functions that can be trained with simple gradient descent to achieve state-of-the-art performance on a variety of applications. Despite the…

q-bio.NC2016★ 1 cited

Mapping Between fMRI Responses to Movies and their Natural Language Annotations

Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang +8

Several research groups have shown how to correlate fMRI responses to the meanings of presented stimuli. This paper presents new methods for doing so when only a natural language a…

cs.LG2016★ 14 cited

Recovery guarantee of weighted low-rank approximation via alternating minimization

Yuanzhi Li, Yingyu Liang, Andrej Risteski

Many applications require recovering a ground truth low-rank matrix from noisy observations of the entries, which in practice is typically formulated as a weighted low-rank approxi…

cs.CL2016

Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Sanjeev Arora, Yuanzhi Li, Yingyu Liang +2

Word embeddings are ubiquitous in NLP and information retrieval, but it is unclear what they represent when the word is polysemous. Here it is shown that multiple word senses resid…