| 2022 | ICML | Action-Sufficient State Representation Learning for Control with Structural Constraints. | Biwei Huang, Chaochao Lu, Liu Leqi, Jos Miguel Hernndez-Lobato, Clark Glymour, Bernhard Schlkopf, Kun Zhang |
| 2020 | AAAI | Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2019 | ICML | Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2018 | KDD | Generalized Score Functions for Causal Discovery. | Biwei Huang, Kun Zhang, Yizhu Lin, Bernhard Schlkopf, Clark Glymour |
| 2018 | UAI | Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. | Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour |
| 2017 | ICDM | Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. | Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schlkopf |
| 2017 | IJCAI | Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. | Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schlkopf |
| 2017 | UAI | Causal Discovery from Temporally Aggregated Time Series. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Clark Glymour, Dacheng Tao |
| 2016 | ICML | Domain Adaptation with Conditional Transferable Components. | Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schlkopf |
| 2016 | UAI | On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection. | Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schlkopf, Clark Glymour |
| 2005 | UAI | On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. | Frederick Eberhardt, Clark Glymour, Richard Scheines |
| 2003 | UAI | Learning Measurement Models for Unobserved Variables. | Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes |
| 2001 | UAI | Linearity Properties of Bayes Nets with Binary Variables. | David Danks, Clark Glymour |
| 1998 | UAI | Psychological and Normative Theories of Causal Power and the Probabilities of Causes. | Clark Glymour |
| 1997 | AISTATS | A Note on Cyclic Graphs and Dynamical Feedback Systems. | Thomas S. Richardson, Peter Spirtes, Clark Glymour |
| 1995 | KDD | Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program. | Clark Glymour |
| 1994 | KDD | Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges. | Marek J. Druzdze, Clark Glymour |