activity
20162023
most citedVisualizing the Loss Landscape of Neural Nets

605 citations · 1.2k across the 29 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CE2016★ 1 cited

Non-negative Factorization of the Occurrence Tensor from Financial Contracts

Zheng Xu, Furong Huang, Louiqa Raschid +1

We propose an algorithm for the non-negative factorization of an occurrence tensor built from heterogeneous networks. We use l0 norm to model sparse errors over discrete values (oc…

math.OC2016★ 24 cited

An Empirical Study of ADMM for Nonconvex Problems

Zheng Xu, Soham De, Mario Figueiredo +2

The alternating direction method of multipliers (ADMM) is a common optimization tool for solving constrained and non-differentiable problems. We provide an empirical study of the p…

cs.LG2016★ 140 cited

Training Neural Networks Without Gradients: A Scalable ADMM Approach

Gavin Taylor, Ryan Burmeister, Zheng Xu +3

With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conven…

cs.LG2016★ 42 cited

Adaptive ADMM with Spectral Penalty Parameter Selection

Zheng Xu, Mario A. T. Figueiredo, Tom Goldstein

The alternating direction method of multipliers (ADMM) is a versatile tool for solving a wide range of constrained optimization problems, with differentiable or non-differentiable…

cs.CL2016★ 5 cited

Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents

Zheng Xu, Douglas Burdick, Louiqa Raschid

There is a wealth of information about financial systems that is embedded in document collections. In this paper, we focus on a specialized text extraction task for this domain. Th…