TZstats Convergence Lab | Tian Zheng, Columbia Stats
TZstats Convergence Lab | Tian Zheng, Columbia Stats
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The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research
The application of AI to CER relies on human-centered principles that prioritize human-AI collaboration, allowing for the operationalization of responsible AI practices. The PRISM-Capabilities model provides a framework to account for the complexities of real-world social science problems and explicitly positions AI tools at bottlenecks experienced with conventional approaches.
Nabila El-Bassel
,
James David
,
Others
,
Eric Aragundi
,
More Others
,
Tian Zheng
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Scalable Community Detection in Massive Networks Using Aggregated Relational Data
The mixed membership stochastic blockmodel (MMSB) is a popular Bayesian network model for community detection. Fitting such large …
Timothy Jones
,
Owen Ward
,
Yiran Jiang
,
John Paisley
,
Tian Zheng
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DOI
arXiv
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Group-based social dominance hierarchies are of essential interest in animal behavior research. Studies often record aggressive …
Owen Ward
,
Jing Wu
,
Tian Zheng
,
Anna Smith
,
James P. Curley
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Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence …
Tamara Broderick
,
Andrew Gelman
,
Rachael Meager
,
Anna Smith
,
Tian Zheng
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DOI
arXiv
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space has become an area of active research in statistical machine …
Owen Ward
,
Zhen Huang
,
Andrew Davison
,
Tian Zheng
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DOI
arxiv
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Point process models have been used to analyze interaction event times on a social network, in the hope to provides valuable insights …
Jing Wu
,
Anna Smith
,
Tian Zheng
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arxiv
Stabilized Sparse Online Learning for Sparse Data
Stochastic gradient descent (SGD) is commonly used for optimization in large-scale machine learning problems. Langford et al. (2009) …
Yuting Ma
,
Tian Zheng
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URL
Discovering influential variables: A method of partitions
A trend in all scientific disciplines, based on advances in technology, is the increasing availability of high dimensional data in …
Herman Chernoff
,
Shaw-Hwa Lo
,
Tian Zheng
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