Thomas S. Richardson

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 6

Top Topics

Graphical Models

Equivalence Class

Top Venues

IEEE Trans. Inf. Theory

Publications

Bryan Andrews, Gregory F. Cooper, Thomas S. Richardson, Peter Spirtes
The m-connecting imset and factorization for ADMG models. CoRR (2022)
Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains
A Bayesian Model for Online Activity Sample Sizes. AISTATS (2022)
F. Richard Guo, Thomas S. Richardson
Chernoff-Type Concentration of Empirical Probabilities in Relative Entropy. IEEE Trans. Inf. Theory 67 (1) (2021)
Daniel Malinsky, Ilya Shpitser, Thomas S. Richardson
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects. AISTATS (2019)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson
Acyclic Linear SEMs Obey the Nested Markov Property. UAI (2018)
Wen Wei Loh, Thomas S. Richardson
A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers. UAI (2015)
Thomas S. Richardson
A factorization criterion for acyclic directed mixed graphs. CoRR (2014)
David Heckerman, Christopher Meek, Thomas S. Richardson
Variations on undirected graphical models and their relationships. Kybernetika 50 (3) (2014)
Jacob A. Wegelin, Thomas S. Richardson
Cross-covariance modelling via DAGs with hidden variables CoRR (2013)
Ayesha R. Ali, Thomas S. Richardson
Markov Equivalence Classes for Maximal Ancestral Graphs CoRR (2013)
Peter Spirtes, Christopher Meek, Thomas S. Richardson
Causal Inference in the Presence of Latent Variables and Selection Bias CoRR (2013)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
Sparse Nested Markov models with Log-linear Parameters. CoRR (2013)
Thomas S. Richardson
A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models CoRR (2013)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
Sparse Nested Markov models with Log-linear Parameters. UAI (2013)
Thomas S. Richardson
A Discovery Algorithm for Directed Cyclic Graphs CoRR (2013)
Rina Dechter, Thomas S. Richardson
Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (2006) CoRR (2012)
Mathias Drton, Thomas S. Richardson
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence CoRR (2012)
Ilya Shpitser, Thomas S. Richardson, James M. Robins
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models CoRR (2012)
Robin J. Evans, Thomas S. Richardson
Maximum likelihood fitting of acyclic directed mixed graphs to binary data CoRR (2012)
Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables CoRR (2012)
Thomas S. Richardson, James M. Robins, Ilya Shpitser
Nested Markov Properties for Acyclic Directed Mixed Graphs. UAI (2012)
Sanjay Chaudhari, Thomas S. Richardson
Using the structure of d-connecting paths as a qualitative measure of the strength of dependence CoRR (2012)
Mathias Drton, Thomas S. Richardson
Iterative Conditional Fitting for Gaussian Ancestral Graph Models CoRR (2012)
Ilya Shpitser, Thomas S. Richardson, James M. Robins
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. UAI (2011)
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
Learning high-dimensional DAGs with latent and selection variables CoRR (2011)
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
Learning high-dimensional DAGs with latent and selection variables (Abstract). UAI (2011)
Sundar Srinivasan, Brandon J. Ausk, Jitendra Prasad, Dewayne Threet, Steven D. Bain, Thomas S. Richardson, Ted S. Gross
Rescuing Loading Induced Bone Formation at Senescence. PLoS Comput. Biol. 6 (9) (2010)
Robin J. Evans, Thomas S. Richardson
Maximum likelihood fitting of acyclic directed mixed graphs to binary data. UAI (2010)
Thomas S. Richardson
A factorization criterion for acyclic directed mixed graphs. UAI (2009)
Ilya Shpitser, Thomas S. Richardson, James M. Robins
Testing Edges by Truncations. IJCAI (2009)
Mathias Drton, Michael Eichler, Thomas S. Richardson
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors. J. Mach. Learn. Res. 10 (2009)
Mathias Drton, Thomas S. Richardson
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models. J. Mach. Learn. Res. 9 (2008)
Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI (2005)
Mathias Drton, Thomas S. Richardson
Iterative Conditional Fitting for Gaussian Ancestral Graph Models. UAI (2004)
Mathias Drton, Thomas S. Richardson
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence. UAI (2003)
Thomas S. Richardson, Guy A. Charles, David P. Stoten, Mario di Bernardo, Mark H. Lowenberg
Continuation based control of aircraft dynamics. CDC (2003)
Ali R. Ayesha, Alejandro Murua, Thomas S. Richardson, Roy Sumit
Evaluation of Sequential Importance Sampling for blind deconvolution via a simulation study. EUSIPCO (2002)
Ayesha R. Ali, Thomas S. Richardson
Markov Equivalence Classes for Maximal Ancestral Graphs. UAI (2002)
Jacob A. Wegelin, Thomas S. Richardson
Cross-covariance modelling via DAGs with hidden variables. UAI (2001)
Thomas S. Richardson
Guest editorial. Stat. Comput. 10 (1) (2000)
Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes
An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine 9 (2) (1997)
Peter Spirtes, Christopher Meek, Thomas S. Richardson
Causal Inference in the Presence of Latent Variables and Selection Bias. UAI (1995)