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20112023
most citedProvable Bounds for Learning Some Deep Representations

252 citations · 3.3k across the 92 of their papers we have counts for

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cs.DS2018★ 5 cited

Optimal Design of Process Flexibility for General Production Systems

Xi Chen, Tengyu Ma, Jiawei Zhang +1

Process flexibility is widely adopted as an effective strategy for responding to uncertain demand. Many algorithms for constructing sparse flexibility designs with good theoretical…

cs.DS2016★ 14 cited

Polynomial-time Tensor Decompositions with Sum-of-Squares

Tengyu Ma, Jonathan Shi, David Steurer

We give new algorithms based on the sum-of-squares method for tensor decomposition. Our results improve the best known running times from quasi-polynomial to polynomial for several…

cs.DS2015★ 33 cited

Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms

Rong Ge, Tengyu Ma

Tensor rank and low-rank tensor decompositions have many applications in learning and complexity theory. Most known algorithms use unfoldings of tensors and can only handle rank up…

cs.DS2014★ 38 cited

More Algorithms for Provable Dictionary Learning

Sanjeev Arora, Aditya Bhaskara, Rong Ge +1

In dictionary learning, also known as sparse coding, the algorithm is given samples of the form where is an unknown random sparse vector and is an…

cs.DS2011★ 2 cited

The Simulated Greedy Algorithm for Several Submodular Matroid Secretary Problems

Tengyu Ma, Bo Tang, Yajun Wang

We study the matroid secretary problems with submodular valuation functions. In these problems, the elements arrive in random order. When one element arrives, we have to make an im…