732 citations
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24 papers · 1 filter
A Dependency-Based Neural Network for Relation Classification
Yang Liu, Furu Wei, Sujian Li +3
Previous research on relation classification has verified the effectiveness of using dependency shortest paths or subtrees. In this paper, we further explore how to make full use o…
On the Convergence of Stochastic Variational Inference in Bayesian Networks
Ulrich Paquet
We highlight a pitfall when applying stochastic variational inference to general Bayesian networks. For global random variables approximated by an exponential family distribution,…
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Rong Ge, James Zou
Non-negative matrix factorization (NMF) is a natural model of admixture and is widely used in science and engineering. A plethora of algorithms have been developed to tackle NMF, b…
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham M. Kakade +1
We develop a family of accelerated stochastic algorithms that minimize sums of convex functions. Our algorithms improve upon the fastest running time for empirical risk minimizatio…
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni +6
We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrinsic evaluation of generated text in tasks that admit a diverse range of possible outputs. Reference strings a…
Measuring and Managing Answer Quality for Online Data-Intensive Services
Jaimie Kelley, Christopher Stewart, Nathaniel Morris +3
Online data-intensive services parallelize query execution across distributed software components. Interactive response time is a priority, so online query executions return answer…