Ross D. Shachter

Affiliations:
  • Stanford University


According to our database1, Ross D. Shachter authored at least 62 papers between 1985 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Why Did They Do That?
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021
WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Uncertainty Aware Wildfire Management.
Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2017
Dynamic strategy for personalized medicine: An application to metastatic breast cancer.
J. Biomed. Informatics, 2017

2016
Decisions and Dependence in Influence Diagrams.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015
Complexity of the Exact Solution to the Test Sequencing Problem.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2013
Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988)
CoRR, 2013

Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)
CoRR, 2013

Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Formulating Asymmetric Decision Problems as Decision Circuits.
Decis. Anal., 2012

Backtracking for More Efficient Large Scale Dynamic Programming.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Strictly Proper Mechanisms with Cooperating Players.
Proceedings of the UAI 2011, 2011

2010
Dynamic programming in in uence diagrams with decision circuits.
Proceedings of the UAI 2010, 2010

Three new sensitivity analysis methods for influence diagrams.
Proceedings of the UAI 2010, 2010

2008
Sensitivity analysis in decision circuits.
Proceedings of the UAI 2008, 2008

2007
Evaluating influence diagrams with decision circuits.
Proceedings of the UAI 2007, 2007

2005
Individualizing generic decision models using assessments as evidence.
J. Biomed. Informatics, 2005

Influence Diagrams for Team Decision Analysis.
Decis. Anal., 2005

2004
Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography.
Proceedings of the MEDINFO 2004, 2004

Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2002
An Approach to Automate and Individualize Interactive Decision Support for Patients.
Proceedings of the AMIA 2002, 2002

2001
Using Decision Models To Automate and Individualize Interactive Patient-oriented Decision Support Aids.
Proceedings of the AMIA 2001, 2001

SecondOpinion: A Framework for Using Decision Models to Automate and Individualize Interactive Patient-oriented Decision Support Aids.
Proceedings of the AMIA 2001, 2001

Using background knowledge to speed reinforcement learning in physical agents.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
A Bayesian network for mammography.
Proceedings of the AMIA 2000, 2000

1999
Efficient Value of Information Computation.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

1998
A Dynamic HIV-Transmission Model for Evaluating the Costs and Benefits of Vaccine Programs.
Interfaces, 1998

Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams).
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Learning From What You Don't Observe.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1996
A Measure of Decision Flexibility.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Decision-Theoretic Foundations for Causal Reasoning.
J. Artif. Intell. Res., 1995

A Definition and Graphical Representation for Causality.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Decision Flexibility.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1994
Global Conditioning for Probabilistic Inference in Belief Networks.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Three Approaches to Probability Model Selection.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

A Decision-based View of Causality.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993
Using Potential Influence Diagrams for Probabilistic Inference and Decision Making.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

End-User Construction of Influence Diagrams for Bayesian Statistics.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992
Patient-specific explanation in models of chronic disease.
Artif. Intell. Medicine, 1992

Decision Making Using Probabilistic Inference Methods.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Structural Controllability and Observability in Influence Diagrams.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991
Fusion and Propagation with Multiple Observations in Belief Networks.
Artif. Intell., 1991

A Graph-Based Inference Method for Conditional Independence.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990
Dynamic programming and influence diagrams.
IEEE Trans. Syst. Man Cybern., 1990

An ordered examination of influence diagrams.
Networks, 1990

Introduction.
Networks, 1990

Directed reduction algorithms and decomposable graphs.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

Symbolic Probabilistic Inference in Belief Networks.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989
Simulation Approaches to General Probabilistic Inference on Belief Networks.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

Evidence Absorption and Propagation through Evidence Reversals.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

1988
Probabilistic Inference and Influence Diagrams.
Oper. Res., 1988

A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator.
Int. J. Approx. Reason., 1988

Efficient inference on generalized fault diagrams.
Int. J. Approx. Reason., 1988

A linear approximation method for probabilistic inference.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

1987
Thinking Backward for Knowledge Acquisition.
AI Mag., 1987

Efficient Inference on Generalized Fault Diagrams.
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987

1986
Evaluating Influence Diagrams.
Oper. Res., 1986

A backwards view for assessment.
Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

DAVID: influence diagram processing system for the macintosh.
Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

1985
Intelligent Probabilistic Inference.
Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985


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