| 2022 | AISTATS | A Bayesian Model for Online Activity Sample Sizes. | Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains |
| 2020 | ISCAS | Live Demonstration: CNN Inference on the Focal Plane with a Pixel Processor Array. | Stephen J. Carey, Laurie Bose, Thomas S. Richardson, Walterio W. Mayol-Cuevas, Jianing Chen, Piotr Dudek |
| 2019 | AISTATS | A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects. | Daniel Malinsky, Ilya Shpitser, Thomas S. Richardson |
| 2018 | UAI | Acyclic Linear SEMs Obey the Nested Markov Property. | Ilya Shpitser, Robin J. Evans, Thomas S. Richardson |
| 2017 | IROS | Tracking control of a UAV with a parallel visual processor. | Colin Greatwood, Laurie Bose, Thomas S. Richardson, Walterio W. Mayol-Cuevas, Jianing Chen, Stephen J. Carey, Piotr Dudek |
| 2015 | UAI | A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers. | Wen Wei Loh, Thomas S. Richardson |
| 2013 | UAI | Sparse Nested Markov models with Log-linear Parameters. | Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins |
| 2012 | UAI | Nested Markov Properties for Acyclic Directed Mixed Graphs. | Thomas S. Richardson, James M. Robins, Ilya Shpitser |
| 2011 | UAI | Learning high-dimensional DAGs with latent and selection variables (Abstract). | Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson |
| 2011 | UAI | An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. | Ilya Shpitser, Thomas S. Richardson, James M. Robins |
| 2010 | UAI | Maximum likelihood fitting of acyclic directed mixed graphs to binary data. | Robin J. Evans, Thomas S. Richardson |
| 2009 | IJCAI | Testing Edges by Truncations. | Ilya Shpitser, Thomas S. Richardson, James M. Robins |
| 2009 | UAI | A factorization criterion for acyclic directed mixed graphs. | Thomas S. Richardson |
| 2005 | UAI | Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. | Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang |
| 2004 | UAI | Iterative Conditional Fitting for Gaussian Ancestral Graph Models. | Mathias Drton, Thomas S. Richardson |
| 2003 | UAI | A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence. | Mathias Drton, Thomas S. Richardson |
| 2002 | UAI | Markov Equivalence Classes for Maximal Ancestral Graphs. | Ayesha R. Ali, Thomas S. Richardson |
| 2001 | UAI | Cross-covariance modelling via DAGs with hidden variables. | Jacob A. Wegelin, Thomas S. Richardson |
| 1997 | AISTATS | Extensions of Undirected and Acyclic, Directed Graphical Models. | Thomas S. Richardson |
| 1997 | AISTATS | A Note on Cyclic Graphs and Dynamical Feedback Systems. | Thomas S. Richardson, Peter Spirtes, Clark Glymour |
| 1997 | AISTATS | A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias. | Peter Spirtes, Thomas S. Richardson |
| 1997 | AISTATS | Heuristic Greedy Search Algorithms for Latent Variable Models. | Peter Spirtes, Thomas S. Richardson, Christopher Meek |
| 1995 | UAI | Causal Inference in the Presence of Latent Variables and Selection Bias. | Peter Spirtes, Christopher Meek, Thomas S. Richardson |