Ross D. Shachter

98 papers A* 1A 34Misc 4Journal 51Unranked 7

Year	Rank	Type	Title / Venue / Authors
2022	—	`ch.`	Why Did They Do That? Probabilistic and Causal Inference Ross D. Shachter, David Heckerman
2021	—	`conf`	WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. NeurIPS Datasets and Benchmarks Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel J. Kochenderfer, Ross D. Shachter, Abhishek Dubey
2020	—	`conf`	Uncertainty Aware Wildfire Management. AI4SG@AAAI Fall Symposium Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
2020	J	`jnl`	Uncertainty Aware Wildfire Management. CoRR Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
2017	J	`jnl`	Dynamic strategy for personalized medicine: An application to metastatic breast cancer. J. Biomed. Informatics Xi Chen, Ross D. Shachter, Allison W. Kurian, Daniel L. Rubin
2016	—	`conf`	Decisions and Dependence in Influence Diagrams. Probabilistic Graphical Models Ross D. Shachter
2015	A	`conf`	Complexity of the Exact Solution to the Test Sequencing Problem. UAI Wenhao Liu, Ross D. Shachter
2013	J	`jnl`	A Backwards View for Assessment CoRR Ross D. Shachter, David Heckerman
2013	J	`jnl`	A Decision-Based View of Causality CoRR David Heckerman, Ross D. Shachter
2013	J	`jnl`	A Definition and Graphical Representation for Causality CoRR David Heckerman, Ross D. Shachter
2013	J	`jnl`	A Graph-Based Inference Method for Conditional Independence CoRR Ross D. Shachter
2013	J	`jnl`	A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator CoRR Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
2013	J	`jnl`	A Linear Approximation Method for Probabilistic Inference CoRR Ross D. Shachter
2013	J	`jnl`	A Measure of Decision Flexibility CoRR Ross D. Shachter, Marvin Mandelbaum
2013	A	`conf`	Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. UAI Charles Tripp, Ross D. Shachter
2013	J	`jnl`	Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. CoRR Charles Tripp, Ross D. Shachter
2013	J	`jnl`	Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) CoRR Ross D. Shachter
2013	J	`jnl`	DAVID: Influence Diagram Processing System for the Macintosh CoRR Ross D. Shachter
2013	J	`jnl`	Decision Flexibility CoRR Tom Chávez, Ross D. Shachter
2013	J	`jnl`	Decision Making Using Probabilistic Inference Methods CoRR Ross D. Shachter, Mark Alan Peot
2013	J	`jnl`	Directed Reduction Algorithms and Decomposable Graphs CoRR Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
2013	J	`jnl`	Efficient Inference on Generalized Fault Diagrams CoRR Ross D. Shachter, Leonard J. Bertrand
2013	J	`jnl`	Efficient Value of Information Computation CoRR Ross D. Shachter
2013	J	`jnl`	End-User Construction of Influence Diagrams for Bayesian Statistics CoRR Harold P. Lehmann, Ross D. Shachter
2013	J	`jnl`	Evidence Absorption and Propagation through Evidence Reversals CoRR Ross D. Shachter
2013	J	`jnl`	Global Conditioning for Probabilistic Inference in Belief Networks CoRR Ross D. Shachter, Stig K. Andersen, Peter Szolovits
2013	J	`jnl`	Intelligent Probabilistic Inference CoRR Ross D. Shachter
2013	J	`jnl`	Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables CoRR Adriano Azevedo-Filho, Ross D. Shachter
2013	J	`jnl`	Learning From What You Don't Observe CoRR Mark Alan Peot, Ross D. Shachter
2013	J	`jnl`	Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties CoRR William B. Poland, Ross D. Shachter
2013	J	`jnl`	Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989) CoRR Max Henrion, Laveen N. Kanal, John F. Lemmer, Ross D. Shachter
2013	J	`jnl`	Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988) CoRR Laveen N. Kanal, John F. Lemmer, Tod S. Levitt, Ross D. Shachter
2013	J	`jnl`	Simulation Approaches to General Probabilistic Inference on Belief Networks CoRR Ross D. Shachter, Mark Alan Peot
2013	J	`jnl`	Structural Controllability and Observability in Influence Diagrams CoRR Brian Y. Chan, Ross D. Shachter
2013	J	`jnl`	Three Approaches to Probability Model Selection CoRR William B. Poland, Ross D. Shachter
2013	J	`jnl`	Using Potential Influence Diagrams for Probabilistic Inference and Decision Making CoRR Ross D. Shachter, Pierre Ndilikilikesha
2012	—	`conf`	Backtracking for More Efficient Large Scale Dynamic Programming. ICMLA (1) Charles Tripp, Ross D. Shachter
2012	J	`jnl`	Dynamic programming in in uence diagrams with decision circuits CoRR Ross D. Shachter, Debarun Bhattacharjya
2012	J	`jnl`	Evaluating influence diagrams with decision circuits CoRR Debarun Bhattacharjya, Ross D. Shachter
2012	J	`jnl`	Formulating Asymmetric Decision Problems as Decision Circuits. Decis. Anal. Debarun Bhattacharjya, Ross D. Shachter
2012	J	`jnl`	Sensitivity analysis in decision circuits CoRR Debarun Bhattacharjya, Ross D. Shachter
2012	J	`jnl`	Strictly Proper Mechanisms with Cooperating Players CoRR SangIn Chun, Ross D. Shachter
2012	J	`jnl`	Three new sensitivity analysis methods for influence diagrams CoRR Debarun Bhattacharjya, Ross D. Shachter
2011	A	`conf`	Strictly Proper Mechanisms with Cooperating Players. UAI SangIn Chun, Ross D. Shachter
2010	A	`conf`	Dynamic programming in in uence diagrams with decision circuits. UAI Ross D. Shachter, Debarun Bhattacharjya
2010	A	`conf`	Three new sensitivity analysis methods for influence diagrams. UAI Debarun Bhattacharjya, Ross D. Shachter
2008	A	`conf`	Sensitivity analysis in decision circuits. UAI Debarun Bhattacharjya, Ross D. Shachter
2007	A	`conf`	Evaluating influence diagrams with decision circuits. UAI Debarun Bhattacharjya, Ross D. Shachter
2005	J	`jnl`	Individualizing generic decision models using assessments as evidence. J. Biomed. Informatics George C. Scott, Ross D. Shachter
2005	J	`jnl`	Influence Diagrams for Team Decision Analysis. Decis. Anal. Apiruk Detwarasiti, Ross D. Shachter
2004	—	`conf`	Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography. CARS Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
2004	—	`conf`	Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography. MedInfo Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
2002	Misc	`conf`	An Approach to Automate and Individualize Interactive Decision Support for Patients. AMIA George C. Scott, Ross D. Shachter, Leslie A. Lenert
2001	Misc	`conf`	SecondOpinion: A Framework for Using Decision Models to Automate and Individualize Interactive Patient-oriented Decision Support Aids. AMIA George C. Scott, Ross D. Shachter, Leslie A. Lenert
2001	Misc	`conf`	Using Decision Models To Automate and Individualize Interactive Patient-oriented Decision Support Aids. AMIA George C. Scott, Ross D. Shachter, Leslie A. Lenert
2001	—	`conf`	Using background knowledge to speed reinforcement learning in physical agents. Agents Daniel G. Shapiro, Pat Langley, Ross D. Shachter
2000	Misc	`conf`	A Bayesian network for mammography. AMIA Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
1999	A	`conf`	Efficient Value of Information Computation. UAI Ross D. Shachter
1998	J	`jnl`	A Dynamic HIV-Transmission Model for Evaluating the Costs and Benefits of Vaccine Programs. Interfaces Donna M. Edwards, Ross D. Shachter, Douglas K. Owens
1998	A	`conf`	Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams). UAI Ross D. Shachter
1998	A	`conf`	Learning From What You Don't Observe. UAI Mark A. Peot, Ross D. Shachter
1996	A	`conf`	A Measure of Decision Flexibility. UAI Ross D. Shachter, Marvin Mandelbaum
1995	A	`conf`	A Definition and Graphical Representation for Causality. UAI David Heckerman, Ross D. Shachter
1995	A	`conf`	Decision Flexibility. UAI Tom Chávez, Ross D. Shachter
1995	J	`jnl`	Decision-Theoretic Foundations for Causal Reasoning. CoRR David Heckerman, Ross D. Shachter
1995	J	`jnl`	Decision-Theoretic Foundations for Causal Reasoning. J. Artif. Intell. Res. David Heckerman, Ross D. Shachter
1994	A	`conf`	A Decision-based View of Causality. UAI David Heckerman, Ross D. Shachter
1994	A	`conf`	Global Conditioning for Probabilistic Inference in Belief Networks. UAI Ross D. Shachter, Stig K. Andersen, Peter Szolovits
1994	A	`conf`	Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables. UAI Adriano Azevedo-Filho, Ross D. Shachter
1994	A	`conf`	Three Approaches to Probability Model Selection. UAI William B. Poland, Ross D. Shachter
1993	A	`conf`	End-User Construction of Influence Diagrams for Bayesian Statistics. UAI Harold P. Lehmann, Ross D. Shachter
1993	A	`conf`	Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties. UAI William B. Poland, Ross D. Shachter
1993	A	`conf`	Using Potential Influence Diagrams for Probabilistic Inference and Decision Making. UAI Ross D. Shachter, Pierre Ndilikilikesha
1992	A	`conf`	Decision Making Using Probabilistic Inference Methods. UAI Ross D. Shachter, Mark A. Peot
1992	J	`jnl`	Patient-specific explanation in models of chronic disease. Artif. Intell. Medicine Holly B. Jimison, Lawrence M. Fagan, Ross D. Shachter, Edward H. Shortliffe
1992	A	`conf`	Structural Controllability and Observability in Influence Diagrams. UAI Brian Y. Chan, Ross D. Shachter
1991	A	`conf`	A Graph-Based Inference Method for Conditional Independence. UAI Ross D. Shachter
1991	J	`jnl`	Fusion and Propagation with Multiple Observations in Belief Networks. Artif. Intell. Mark A. Peot, Ross D. Shachter
1990	J	`jnl`	An ordered examination of influence diagrams. Networks Ross D. Shachter
1990	A	`conf`	Directed reduction algorithms and decomposable graphs. UAI Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
1990	J	`jnl`	Dynamic programming and influence diagrams. IEEE Trans. Syst. Man Cybern. Joseph A. Tatman, Ross D. Shachter
1990	J	`jnl`	Introduction. Networks Ross D. Shachter
1990	A*	`conf`	Symbolic Probabilistic Inference in Belief Networks. AAAI Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Favero
1990	A	`ed.`	UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, Minneapolis, MN, USA, July 10-12, 1988 UAI Ross D. Shachter, Tod S. Levitt, Laveen N. Kanal, John F. Lemmer
1990	A	`ed.`	UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, Windsor, Ontario, Canada, August 18-20, 1989 UAI Max Henrion, Ross D. Shachter, Laveen N. Kanal, John F. Lemmer
1989	A	`conf`	Evidence Absorption and Propagation through Evidence Reversals. UAI Ross D. Shachter
1989	A	`conf`	Simulation Approaches to General Probabilistic Inference on Belief Networks. UAI Ross D. Shachter, Mark A. Peot
1988	J	`jnl`	A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator. Int. J. Approx. Reason. Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
1988	A	`conf`	A linear approximation method for probabilistic inference. UAI Ross D. Shachter
1988	J	`jnl`	Efficient inference on generalized fault diagrams. Int. J. Approx. Reason. Ross D. Shachter
1988	J	`jnl`	Probabilistic Inference and Influence Diagrams. Oper. Res. Ross D. Shachter
1987	A	`conf`	A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator. UAI Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
1987	A	`conf`	Efficient Inference on Generalized Fault Diagrams. UAI Ross D. Shachter, Leonard J. Bertrand
1987	J	`jnl`	Thinking Backward for Knowledge Acquisition. AI Mag. Ross D. Shachter, David Heckerman
1986	A	`conf`	A backwards view for assessment. UAI Ross D. Shachter, David Heckerman
1986	A	`conf`	DAVID: influence diagram processing system for the macintosh. UAI Ross D. Shachter
1986	J	`jnl`	Evaluating Influence Diagrams. Oper. Res. Ross D. Shachter
1985	A	`conf`	Intelligent Probabilistic Inference. UAI Ross D. Shachter