activity
20062026
most citedCausal Inference and Causal Explanation with Background Knowledge

389 citations · 2.3k across the 33 of their papers we have counts for

collaborators

33 papers

stat.ML2026

Characterizing and Identifying Separable Graphical Models

Christopher Meek, Kayvan Sadeghi

We study a broad class of graphical models whose independencies correspond to vertex separation in mixed graphs with directed, undirected, and bidirected edges, that are capable of…

cs.HC2023

FoundWright: A System to Help People Re-find Pages from Their Web-history

Haekyu Park, Gonzalo Ramos, Jina Suh +3

Re-finding information is an essential activity, however, it can be difficult when people struggle to express what they are looking for. Through a need-finding survey, we first see…

cs.CL2021

NL-EDIT: Correcting semantic parse errors through natural language interaction

Ahmed Elgohary, Christopher Meek, Matthew Richardson +3

We study semantic parsing in an interactive setting in which users correct errors with natural language feedback. We present NL-EDIT, a model for interpreting natural language feed…

cs.CL2020★ 84 cited

Structure-Grounded Pretraining for Text-to-SQL

Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek +3

Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to grou…

stat.ML2019★ 16 cited

Embedded Bayesian Network Classifiers

David Heckerman, Chris Meek

Low-dimensional probability models for local distribution functions in a Bayesian network include decision trees, decision graphs, and causal independence models. We describe a new…

cs.LG2017★ 76 cited

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Patrice Y. Simard, Saleema Amershi, David M. Chickering +8

The current processes for building machine learning systems require practitioners with deep knowledge of machine learning. This significantly limits the number of machine learning…