Intelligent Probabilistic Inference. - Ross D. Shachter (UAI, 1985)

DAVID: influence diagram processing system for the macintosh. - Ross D. Shachter (UAI, 1986)

A backwards view for assessment. - Ross D. Shachter; David Heckerman (UAI, 1986)

Evaluating Influence Diagrams. - Ross D. Shachter (Oper. Res., 1986)

Efficient Inference on Generalized Fault Diagrams. - Ross D. Shachter; Leonard J. Bertrand (UAI, 1987)

Thinking Backward for Knowledge Acquisition. - Ross D. Shachter; David Heckerman (AI Mag., 1987)

A linear approximation method for probabilistic inference. - Ross D. Shachter (UAI, 1988)

Efficient inference on generalized fault diagrams. - Ross D. Shachter (Int. J. Approx. Reason., 1988)

A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator. - Ross D. Shachter; David M. Eddy; Vic Hasselblad; Robert Wolpert (Int. J. Approx. Reason., 1988)

Probabilistic Inference and Influence Diagrams. - Ross D. Shachter (Oper. Res., 1988)

Evidence Absorption and Propagation through Evidence Reversals. - Ross D. Shachter (UAI, 1989)

Simulation Approaches to General Probabilistic Inference on Belief Networks. - Ross D. Shachter; Mark A. Peot (UAI, 1989)

Symbolic Probabilistic Inference in Belief Networks. - Ross D. Shachter; Bruce D'Ambrosio; Brendan Del Favero (AAAI, 1990)

Directed reduction algorithms and decomposable graphs. - Ross D. Shachter; Stig K. Andersen; Kim-Leng Poh (UAI, 1990)

Introduction. - Ross D. Shachter (Networks, 1990)

An ordered examination of influence diagrams. - Ross D. Shachter (Networks, 1990)

Dynamic programming and influence diagrams. - Joseph A. Tatman; Ross D. Shachter (IEEE Trans. Syst. Man Cybern., 1990)

A Graph-Based Inference Method for Conditional Independence. - Ross D. Shachter (UAI, 1991)

Fusion and Propagation with Multiple Observations in Belief Networks. - Mark A. Peot; Ross D. Shachter (Artif. Intell., 1991)

Structural Controllability and Observability in Influence Diagrams. - Brian Y. Chan; Ross D. Shachter (UAI, 1992)

Decision Making Using Probabilistic Inference Methods. - Ross D. Shachter; Mark A. Peot (UAI, 1992)

Patient-specific explanation in models of chronic disease. - Holly B. Jimison; Lawrence M. Fagan; Ross D. Shachter; Edward H. Shortliffe (Artif. Intell. Medicine, 1992)

End-User Construction of Influence Diagrams for Bayesian Statistics. - Harold P. Lehmann; Ross D. Shachter (UAI, 1993)

Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties. - William B. Poland; Ross D. Shachter (UAI, 1993)

Using Potential Influence Diagrams for Probabilistic Inference and Decision Making. - Ross D. Shachter; Pierre Ndilikilikesha (UAI, 1993)

Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables. - Adriano Azevedo-Filho; Ross D. Shachter (UAI, 1994)

A Decision-based View of Causality. - David Heckerman; Ross D. Shachter (UAI, 1994)

Three Approaches to Probability Model Selection. - William B. Poland; Ross D. Shachter (UAI, 1994)

Global Conditioning for Probabilistic Inference in Belief Networks. - Ross D. Shachter; Stig K. Andersen; Peter Szolovits (UAI, 1994)

Decision Flexibility. - Tom Chávez; Ross D. Shachter (UAI, 1995)

A Definition and Graphical Representation for Causality. - David Heckerman; Ross D. Shachter (UAI, 1995)

Decision-Theoretic Foundations for Causal Reasoning. - David Heckerman; Ross D. Shachter (J. Artif. Intell. Res., 1995)

A Measure of Decision Flexibility. - Ross D. Shachter; Marvin Mandelbaum (UAI, 1996)

Learning From What You Don't Observe. - Mark A. Peot; Ross D. Shachter (UAI, 1998)

Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams). - Ross D. Shachter (UAI, 1998)

A Dynamic HIV-Transmission Model for Evaluating the Costs and Benefits of Vaccine Programs. - Donna M. Edwards; Ross D. Shachter; Douglas K. Owens (Interfaces, 1998)

Efficient Value of Information Computation. - Ross D. Shachter (UAI, 1999)

A Bayesian network for mammography. - Elizabeth S. Burnside; Daniel L. Rubin; Ross D. Shachter (AMIA, 2000)

Using background knowledge to speed reinforcement learning in physical agents. - Daniel G. Shapiro; Pat Langley; Ross D. Shachter (Agents, 2001)

SecondOpinion: A Framework for Using Decision Models to Automate and Individualize Interactive Patient-oriented Decision Support Aids. - George C. Scott; Ross D. Shachter; Leslie A. Lenert (AMIA, 2001)

Using Decision Models To Automate and Individualize Interactive Patient-oriented Decision Support Aids. - George C. Scott; Ross D. Shachter; Leslie A. Lenert (AMIA, 2001)

An Approach to Automate and Individualize Interactive Decision Support for Patients. - George C. Scott; Ross D. Shachter; Leslie A. Lenert (AMIA, 2002)

Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography. - Elizabeth S. Burnside; Daniel L. Rubin; Ross D. Shachter (CARS, 2004)

Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography. - Elizabeth S. Burnside; Daniel L. Rubin; Ross D. Shachter (MedInfo, 2004)

Influence Diagrams for Team Decision Analysis. - Apiruk Detwarasiti; Ross D. Shachter (Decis. Anal., 2005)

Individualizing generic decision models using assessments as evidence. - George C. Scott; Ross D. Shachter (J. Biomed. Informatics, 2005)

Evaluating influence diagrams with decision circuits. - Debarun Bhattacharjya; Ross D. Shachter (UAI, 2007)

Sensitivity analysis in decision circuits. - Debarun Bhattacharjya; Ross D. Shachter (UAI, 2008)

Three new sensitivity analysis methods for influence diagrams. - Debarun Bhattacharjya; Ross D. Shachter (UAI, 2010)

Dynamic programming in in uence diagrams with decision circuits. - Ross D. Shachter; Debarun Bhattacharjya (UAI, 2010)

Strictly Proper Mechanisms with Cooperating Players. - SangIn Chun; Ross D. Shachter (UAI, 2011)

Backtracking for More Efficient Large Scale Dynamic Programming. - Charles Tripp; Ross D. Shachter (ICMLA (1), 2012)

Formulating Asymmetric Decision Problems as Decision Circuits. - Debarun Bhattacharjya; Ross D. Shachter (Decis. Anal., 2012)

Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. - Charles Tripp; Ross D. Shachter (UAI, 2013)

Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989) - Max Henrion; Laveen N. Kanal; John F. Lemmer; Ross D. Shachter (CoRR, 2013)

Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988) - Laveen N. Kanal; John F. Lemmer; Tod S. Levitt; Ross D. Shachter (CoRR, 2013)

Complexity of the Exact Solution to the Test Sequencing Problem. - Wenhao Liu; Ross D. Shachter (UAI, 2015)

Decisions and Dependence in Influence Diagrams. - Ross D. Shachter (Probabilistic Graphical Models, 2016)

Dynamic strategy for personalized medicine: An application to metastatic breast cancer. - Xi Chen; Ross D. Shachter; Allison W. Kurian; Daniel L. Rubin (J. Biomed. Informatics, 2017)

Uncertainty Aware Wildfire Management. - Tina Diao; Samriddhi Singla; Ayan Mukhopadhyay; Ahmed Eldawy; Ross D. Shachter; Mykel J. Kochenderfer (AI4SG@AAAI Fall Symposium, 2020)

WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. - Samriddhi Singla; Ayan Mukhopadhyay; Michael Wilbur; Tina Diao; Vinayak Gajjewar; Ahmed Eldawy; Mykel J. Kochenderfer; Ross D. Shachter; Abhishek Dubey (NeurIPS Datasets and Benchmarks, 2021)

Why Did They Do That? - Ross D. Shachter; David Heckerman (Probabilistic and Causal Inference, 2022)