13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 13 cited
Optimization Landscape of Tucker Decomposition
Abraham Frandsen, Rong Ge
Tucker decomposition is a popular technique for many data analysis and machine learning applications. Finding a Tucker decomposition is a nonconvex optimization problem. As the sca…
cs.LG2020★ 1 cited
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen, Rong Ge
Recently, many reinforcement learning techniques were shown to have provable guarantees in the simple case of linear dynamics, especially in problems like linear quadratic regulato…
cs.LG2019★ 4 cited
Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen, Rong Ge
Word embedding is a powerful tool in natural language processing. In this paper we consider the problem of word embedding composition \--- given vector representations of two words…