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09/29/2019
Learning Sparse Nonparametric DAGs
We develop a framework for learning sparse nonparametric directed acycli...
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10/10/2018
Learning Tensor Latent Features
We study the problem of learning latent feature models (LFMs) for tensor...
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03/04/2018
DAGs with NO TEARS: Smooth Optimization for Structure Learning
Estimating the structure of directed acyclic graphs (DAGs, also known as...
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11/30/2017
State Space LSTM Models with Particle MCMC Inference
Long Short-Term Memory (LSTM) is one of the most powerful sequence model...
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12/04/2014
LightLDA: Big Topic Models on Modest Compute Clusters
When building large-scale machine learning (ML) programs, such as big to...
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11/10/2014
Model-Parallel Inference for Big Topic Models
In real world industrial applications of topic modeling, the ability to ...
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12/30/2013
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
In distributed ML applications, shared parameters are usually replicated...
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12/30/2013
Petuum: A New Platform for Distributed Machine Learning on Big Data
What is a systematic way to efficiently apply a wide spectrum of advance...
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10/09/2013