Causal Inference in the Presence of Latent Variables and Selection Bias. - Peter Spirtes; Christopher Meek; Thomas S. Richardson 001 (UAI, 1995)

A Discovery Algorithm for Directed Cyclic Graphs. - Thomas Richardson 001 (UAI, 1996)

A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models. - Thomas Richardson 001 (UAI, 1996)

Extensions of Undirected and Acyclic, Directed Graphical Models. - Thomas S. Richardson 001 (AISTATS, 1997)

A Note on Cyclic Graphs and Dynamical Feedback Systems. - Thomas S. Richardson 001; Peter Spirtes; Clark Glymour (AISTATS, 1997)

A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias. - Peter Spirtes; Thomas S. Richardson 001 (AISTATS, 1997)

Heuristic Greedy Search Algorithms for Latent Variable Models. - Peter Spirtes; Thomas S. Richardson 001; Christopher Meek (AISTATS, 1997)

An evaluation of machine-learning methods for predicting pneumonia mortality. - 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; et al. (Artif. Intell. Medicine, 1997)

A characterization of Markov equivalence for directed cyclic graphs. - Thomas Richardson 001 (Int. J. Approx. Reason., 1997)

Chain Graphs and Symmetric Associations. - Thomas S. Richardson 001 (Learning in Graphical Models, 1998)

Interpretable Boosted Naïve Bayes Classification. - Greg Ridgeway; David Madigan; Thomas Richardson 001; John O'Kane (KDD, 1998)

Tractable structure search in the presence of latent variables. - Thomas Richardson 001; Heiko Bailer; Moulinath Banarjees (AISTATS, 1999)

Boosting methodology for regression problems. - Greg Ridgeway; David Madigan; Thomas Richardson 001 (AISTATS, 1999)

Discussion on the paper by Friedman and Fisher. - Greg Ridgeway; Thomas Richardson 001; David Madigan (Stat. Comput., 1999)

Guest editorial. - Thomas S. Richardson 001 (Stat. Comput., 2000)

Cross-covariance modelling via DAGs with hidden variables. - Jacob A. Wegelin; Thomas S. Richardson 001 (UAI, 2001)

Evaluation of Sequential Importance Sampling for blind deconvolution via a simulation study. - Ali R. Ayesha; Alejandro Murua; Thomas S. Richardson 001; Roy Sumit (EUSIPCO, 2002)

Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop. - Geoffrey Zweig; Jeff A. Bilmes; Thomas Richardson 001; Karim Filali; Karen Livescu; Peng Xu; Kirk Jackson; Yigal Brandman; Eric D. Sandness; Eva Holtz; Jerry Torres; Bill Byrne (ICASSP, 2002)

Markov Equivalence Classes for Maximal Ancestral Graphs. - Ayesha R. Ali; Thomas S. Richardson 001 (UAI, 2002)

Continuation based control of aircraft dynamics. - Thomas S. Richardson 001; Guy A. Charles; David P. Stoten; Mario di Bernardo; Mark H. Lowenberg (CDC, 2003)

Using the structure of d-connecting paths as a qualitative measure of the strength of dependence. - Sanjay Chaudhuri; Thomas Richardson 001 (UAI, 2003)

A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence. - Mathias Drton; Thomas S. Richardson 001 (UAI, 2003)

Iterative Conditional Fitting for Gaussian Ancestral Graph Models. - Mathias Drton; Thomas S. Richardson 001 (UAI, 2004)

Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. - Ayesha R. Ali; Thomas S. Richardson 001; Peter Spirtes; Jiji Zhang (UAI, 2005)

Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models. - Mathias Drton; Thomas S. Richardson 001 (J. Mach. Learn. Res., 2008)

Testing Edges by Truncations. - Ilya Shpitser; Thomas S. Richardson 001; James M. Robins (IJCAI, 2009)

A factorization criterion for acyclic directed mixed graphs. - Thomas S. Richardson 001 (UAI, 2009)

Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors. - Mathias Drton; Michael Eichler; Thomas S. Richardson 001 (J. Mach. Learn. Res., 2009)

Maximum likelihood fitting of acyclic directed mixed graphs to binary data. - Robin J. Evans 002; Thomas S. Richardson 001 (UAI, 2010)

Rescuing Loading Induced Bone Formation at Senescence. - Sundar Srinivasan; Brandon J. Ausk; Jitendra Prasad; Dewayne Threet; Steven D. Bain; Thomas S. Richardson 001; Ted S. Gross (PLoS Comput. Biol., 2010)

Learning high-dimensional DAGs with latent and selection variables (Abstract). - Diego Colombo; Marloes H. Maathuis; Markus Kalisch; Thomas S. Richardson 001 (UAI, 2011)

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. - Ilya Shpitser; Thomas S. Richardson 001; James M. Robins (UAI, 2011)

Learning high-dimensional DAGs with latent and selection variables - Diego Colombo; Marloes H. Maathuis; Markus Kalisch; Thomas S. Richardson 001 (CoRR, 2011)

Distributed acoustic modeling with back-off n-grams. - Ciprian Chelba; Peng Xu; Fernando Pereira; Thomas Richardson 001 (ICASSP, 2012)

Nested Markov Properties for Acyclic Directed Mixed Graphs. - Thomas S. Richardson 001; James M. Robins; Ilya Shpitser (UAI, 2012)

Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (2006) - Rina Dechter; Thomas S. Richardson 001 (CoRR, 2012)

Using the structure of d-connecting paths as a qualitative measure of the strength of dependence - Sanjay Chaudhari; Thomas S. Richardson 001 (CoRR, 2012)

Sparse Nested Markov models with Log-linear Parameters. - Ilya Shpitser; Robin J. Evans 002; Thomas S. Richardson 001; James M. Robins (UAI, 2013)

A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models - Thomas S. Richardson 001 (CoRR, 2013)

Large Scale Distributed Acoustic Modeling With Back-Off ℕ-Grams. - Ciprian Chelba; Peng Xu; Fernando Pereira; Thomas Richardson 001 (IEEE Trans. Speech Audio Process., 2013)

Variations on undirected graphical models and their relationships. - David Heckerman; Christopher Meek; Thomas S. Richardson 001 (Kybernetika, 2014)

A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers. - Wen Wei Loh; Thomas S. Richardson 001 (UAI, 2015)

Acyclic Linear SEMs Obey the Nested Markov Property. - Ilya Shpitser; Robin J. Evans 002; Thomas S. Richardson 001 (UAI, 2018)

A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects. - Daniel Malinsky; Ilya Shpitser; Thomas S. Richardson 001 (AISTATS, 2019)

Bayesian Sample Size Prediction for Online Activity. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (CoRR, 2021)

Multiple Randomization Designs. - Patrick Bajari; Brian Burdick; Guido W. Imbens; Lorenzo Masoero; James McQueen; Thomas S. Richardson 001; Ido M. Rosen (CoRR, 2021)

Chernoff-Type Concentration of Empirical Probabilities in Relative Entropy. - F. Richard Guo; Thomas S. Richardson 001 (IEEE Trans. Inf. Theory, 2021)

An Interventionist Approach to Mediation Analysis. - James M. Robins; Thomas S. Richardson 001; Ilya Shpitser (Probabilistic and Causal Inference, 2022)

Multivariate Counterfactual Systems and Causal Graphical Models. - Ilya Shpitser; Thomas S. Richardson 001; James M. Robins (Probabilistic and Causal Inference, 2022)

A Bayesian Model for Online Activity Sample Sizes. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (AISTATS, 2022)

The m-connecting imset and factorization for ADMG models. - Bryan Andrews; Gregory F. Cooper; Thomas S. Richardson 001; Peter Spirtes (CoRR, 2022)

Assumptions and Bounds in the Instrumental Variable Model. - Thomas S. Richardson 001; James M. Robins (CoRR, 2024)

A Nonparametric Bayes Approach to Online Activity Prediction. - Mario Beraha; Lorenzo Masoero; Stefano Favaro; Thomas S. Richardson 001 (CoRR, 2024)

Improved prediction of future user activity in online A/B testing. - Lorenzo Masoero; Mario Beraha; Thomas S. Richardson 001; Stefano Favaro (CoRR, 2024)