Ross D. Shachter

Publication Activity (10 Years)

Years Active: 1985-2021
Publications (10 Years): 5

Top Topics

Decision Models

Top Venues

AI4SG@AAAI Fall Symposium

NeurIPS Datasets and Benchmarks

Publications

Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel J. Kochenderfer, Ross D. Shachter, Abhishek Dubey
WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. NeurIPS Datasets and Benchmarks (2021)
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
Uncertainty Aware Wildfire Management. AI4SG@AAAI Fall Symposium (2020)
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
Uncertainty Aware Wildfire Management. CoRR (2020)
Xi Chen, Ross D. Shachter, Allison W. Kurian, Daniel L. Rubin
Dynamic strategy for personalized medicine: An application to metastatic breast cancer. J. Biomed. Informatics 68 (2017)
Ross D. Shachter
Decisions and Dependence in Influence Diagrams. Probabilistic Graphical Models (2016)
Wenhao Liu, Ross D. Shachter
Complexity of the Exact Solution to the Test Sequencing Problem. UAI (2015)
Charles Tripp, Ross D. Shachter
Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. CoRR (2013)
William B. Poland, Ross D. Shachter
Three Approaches to Probability Model Selection CoRR (2013)
Brian Y. Chan, Ross D. Shachter
Structural Controllability and Observability in Influence Diagrams CoRR (2013)
Charles Tripp, Ross D. Shachter
Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. UAI (2013)
Ross D. Shachter
Efficient Value of Information Computation CoRR (2013)
Ross D. Shachter
DAVID: Influence Diagram Processing System for the Macintosh CoRR (2013)
Mark Alan Peot, Ross D. Shachter
Learning From What You Don't Observe CoRR (2013)
Ross D. Shachter, Mark Alan Peot
Decision Making Using Probabilistic Inference Methods CoRR (2013)
Ross D. Shachter
A Linear Approximation Method for Probabilistic Inference CoRR (2013)
Ross D. Shachter
Intelligent Probabilistic Inference CoRR (2013)
David Heckerman, Ross D. Shachter
A Definition and Graphical Representation for Causality CoRR (2013)
Ross D. Shachter
A Graph-Based Inference Method for Conditional Independence CoRR (2013)
William B. Poland, Ross D. Shachter
Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties CoRR (2013)
Tom Chávez, Ross D. Shachter
Decision Flexibility CoRR (2013)
Max Henrion, Laveen N. Kanal, John F. Lemmer, Ross D. Shachter
Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989) CoRR (2013)
Ross D. Shachter, Stig K. Andersen, Peter Szolovits
Global Conditioning for Probabilistic Inference in Belief Networks CoRR (2013)
Ross D. Shachter, Pierre Ndilikilikesha
Using Potential Influence Diagrams for Probabilistic Inference and Decision Making CoRR (2013)
Laveen N. Kanal, John F. Lemmer, Tod S. Levitt, Ross D. Shachter
Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988) CoRR (2013)
Ross D. Shachter, Mark Alan Peot
Simulation Approaches to General Probabilistic Inference on Belief Networks CoRR (2013)
Harold P. Lehmann, Ross D. Shachter
End-User Construction of Influence Diagrams for Bayesian Statistics CoRR (2013)
Ross D. Shachter, David Heckerman
A Backwards View for Assessment CoRR (2013)
Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
Directed Reduction Algorithms and Decomposable Graphs CoRR (2013)
Ross D. Shachter, Marvin Mandelbaum
A Measure of Decision Flexibility CoRR (2013)
David Heckerman, Ross D. Shachter
A Decision-Based View of Causality CoRR (2013)
Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator CoRR (2013)
Ross D. Shachter
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) CoRR (2013)
Ross D. Shachter
Evidence Absorption and Propagation through Evidence Reversals CoRR (2013)
Ross D. Shachter, Leonard J. Bertrand
Efficient Inference on Generalized Fault Diagrams CoRR (2013)
Adriano Azevedo-Filho, Ross D. Shachter
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables CoRR (2013)
Debarun Bhattacharjya, Ross D. Shachter
Sensitivity analysis in decision circuits CoRR (2012)
Debarun Bhattacharjya, Ross D. Shachter
Formulating Asymmetric Decision Problems as Decision Circuits. Decis. Anal. 9 (2) (2012)
Debarun Bhattacharjya, Ross D. Shachter
Evaluating influence diagrams with decision circuits CoRR (2012)
Charles Tripp, Ross D. Shachter
Backtracking for More Efficient Large Scale Dynamic Programming. ICMLA (1) (2012)
SangIn Chun, Ross D. Shachter
Strictly Proper Mechanisms with Cooperating Players CoRR (2012)
Debarun Bhattacharjya, Ross D. Shachter
Three new sensitivity analysis methods for influence diagrams CoRR (2012)
Ross D. Shachter, Debarun Bhattacharjya
Dynamic programming in in uence diagrams with decision circuits CoRR (2012)
SangIn Chun, Ross D. Shachter
Strictly Proper Mechanisms with Cooperating Players. UAI (2011)
Ross D. Shachter, Debarun Bhattacharjya
Dynamic programming in in uence diagrams with decision circuits. UAI (2010)
Debarun Bhattacharjya, Ross D. Shachter
Three new sensitivity analysis methods for influence diagrams. UAI (2010)
Debarun Bhattacharjya, Ross D. Shachter
Sensitivity analysis in decision circuits. UAI (2008)
Debarun Bhattacharjya, Ross D. Shachter
Evaluating influence diagrams with decision circuits. UAI (2007)
George C. Scott, Ross D. Shachter
Individualizing generic decision models using assessments as evidence. J. Biomed. Informatics 38 (4) (2005)
Apiruk Detwarasiti, Ross D. Shachter
Influence Diagrams for Team Decision Analysis. Decis. Anal. 2 (4) (2005)
Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography. CARS (2004)
Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography. MedInfo (2004)
George C. Scott, Ross D. Shachter, Leslie A. Lenert
An Approach to Automate and Individualize Interactive Decision Support for Patients. AMIA (2002)
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
Using background knowledge to speed reinforcement learning in physical agents. Agents (2001)
George C. Scott, Ross D. Shachter, Leslie A. Lenert
SecondOpinion: A Framework for Using Decision Models to Automate and Individualize Interactive Patient-oriented Decision Support Aids. AMIA (2001)
George C. Scott, Ross D. Shachter, Leslie A. Lenert
Using Decision Models To Automate and Individualize Interactive Patient-oriented Decision Support Aids. AMIA (2001)
Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
A Bayesian network for mammography. AMIA (2000)
Ross D. Shachter
Efficient Value of Information Computation. UAI (1999)
Ross D. Shachter
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams). UAI (1998)
Mark A. Peot, Ross D. Shachter
Learning From What You Don't Observe. UAI (1998)
Donna M. Edwards, Ross D. Shachter, Douglas K. Owens
A Dynamic HIV-Transmission Model for Evaluating the Costs and Benefits of Vaccine Programs. Interfaces 28 (3) (1998)
Ross D. Shachter, Marvin Mandelbaum
A Measure of Decision Flexibility. UAI (1996)
David Heckerman, Ross D. Shachter
A Definition and Graphical Representation for Causality. UAI (1995)
David Heckerman, Ross D. Shachter
Decision-Theoretic Foundations for Causal Reasoning. CoRR (1995)
Tom Chávez, Ross D. Shachter
Decision Flexibility. UAI (1995)
David Heckerman, Ross D. Shachter
Decision-Theoretic Foundations for Causal Reasoning. J. Artif. Intell. Res. 3 (1995)
Adriano Azevedo-Filho, Ross D. Shachter
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables. UAI (1994)
Ross D. Shachter, Stig K. Andersen, Peter Szolovits
Global Conditioning for Probabilistic Inference in Belief Networks. UAI (1994)
William B. Poland, Ross D. Shachter
Three Approaches to Probability Model Selection. UAI (1994)
David Heckerman, Ross D. Shachter
A Decision-based View of Causality. UAI (1994)
Ross D. Shachter, Pierre Ndilikilikesha
Using Potential Influence Diagrams for Probabilistic Inference and Decision Making. UAI (1993)
William B. Poland, Ross D. Shachter
Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties. UAI (1993)
Harold P. Lehmann, Ross D. Shachter
End-User Construction of Influence Diagrams for Bayesian Statistics. UAI (1993)
Holly B. Jimison, Lawrence M. Fagan, Ross D. Shachter, Edward H. Shortliffe
Patient-specific explanation in models of chronic disease. Artif. Intell. Medicine 4 (3) (1992)
Ross D. Shachter, Mark A. Peot
Decision Making Using Probabilistic Inference Methods. UAI (1992)
Brian Y. Chan, Ross D. Shachter
Structural Controllability and Observability in Influence Diagrams. UAI (1992)
Ross D. Shachter
A Graph-Based Inference Method for Conditional Independence. UAI (1991)
Mark A. Peot, Ross D. Shachter
Fusion and Propagation with Multiple Observations in Belief Networks. Artif. Intell. 48 (3) (1991)
Joseph A. Tatman, Ross D. Shachter
Dynamic programming and influence diagrams. IEEE Trans. Syst. Man Cybern. 20 (2) (1990)
Ross D. Shachter
Introduction. Networks 20 (5) (1990)
Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
Directed reduction algorithms and decomposable graphs. UAI (1990)
Ross D. Shachter
An ordered examination of influence diagrams. Networks 20 (5) (1990)
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Favero
Symbolic Probabilistic Inference in Belief Networks. AAAI (1990)
Ross D. Shachter, Mark A. Peot
Simulation Approaches to General Probabilistic Inference on Belief Networks. UAI (1989)
Ross D. Shachter
Evidence Absorption and Propagation through Evidence Reversals. UAI (1989)
Ross D. Shachter
Probabilistic Inference and Influence Diagrams. Oper. Res. 36 (4) (1988)
Ross D. Shachter
Efficient inference on generalized fault diagrams. Int. J. Approx. Reason. 2 (3) (1988)
Ross D. Shachter
A linear approximation method for probabilistic inference. UAI (1988)
Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator. Int. J. Approx. Reason. 2 (3) (1988)
Ross D. Shachter, David Heckerman
Thinking Backward for Knowledge Acquisition. AI Mag. 8 (3) (1987)
Ross D. Shachter, Leonard J. Bertrand
Efficient Inference on Generalized Fault Diagrams. UAI (1987)
Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator. UAI (1987)
Ross D. Shachter, David Heckerman
A backwards view for assessment. UAI (1986)
Ross D. Shachter
DAVID: influence diagram processing system for the macintosh. UAI (1986)
Ross D. Shachter
Evaluating Influence Diagrams. Oper. Res. 34 (6) (1986)
Ross D. Shachter
Intelligent Probabilistic Inference. UAI (1985)