David Heckerman

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 14

Top Venues

Publications

Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, Dominik Janzing, David Heckerman
Multiply-Robust Causal Change Attribution. CoRR (2024)
David Heckerman
Heckerthoughts. CoRR (2023)
Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. ICML (2022)
Dan Geiger, David Heckerman
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions. CoRR (2021)
David Heckerman, Dan Geiger
Likelihoods and Parameter Priors for Bayesian Networks. CoRR (2021)
Mohammad Taha Bahadori, David Heckerman
Debiasing Concept-based Explanations with Causal Analysis. ICLR (2021)
David Heckerman
A Tutorial on Learning With Bayesian Networks. CoRR (2020)
David Heckerman
Probabilistic Similarity Networks. CoRR (2019)
David Heckerman
Toward Accounting for Hidden Common Causes When Inferring Cause and Effect from Observational Data. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
David Heckerman
Exploiting High Dimensionality in Big Data. KDD (2019)
David Heckerman, Christopher Meek
Embedded Bayesian Network Classifiers. CoRR (2019)
David Heckerman
Accounting for hidden common causes when inferring cause and effect from observational data. CoRR (2018)
Seunghak Lee, Nico Görnitz, Eric P. Xing, David Heckerman, Christoph Lippert
Ensembles of Lasso Screening Rules. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Dan Geiger, David Heckerman
Dependence and Relevance: A probabilistic view. CoRR (2016)
Gabriel R. A. Margarido, David Heckerman
ConPADE: Genome Assembly Ploidy Estimation from Next-Generation Sequencing Data. PLoS Comput. Biol. 11 (4) (2015)
Christoph Lippert, David Heckerman
Computational and statistical issues in personalized medicine. XRDS 21 (4) (2015)
David Heckerman, Christopher Meek, Thomas S. Richardson
Variations on undirected graphical models and their relationships. Kybernetika 50 (3) (2014)
Eric Horvitz, David Heckerman
Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research. CoRR (2014)
Hoifung Poon, Chris Quirk, Charlie DeZiel, David Heckerman
Literome: PubMed-scale genomic knowledge base in the cloud. Bioinform. 30 (19) (2014)
Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. 30 (22) (2014)
David Heckerman, Christopher Meek
Models and Selection Criteria for Regression and Classification CoRR (2013)
Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman
A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System CoRR (2013)
David Maxwell Chickering, David Heckerman
A Decision Theoretic Approach to Targeted Advertising CoRR (2013)
David Heckerman
Causal Independence for Knowledge Acquisition and Inference CoRR (2013)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data CoRR (2013)
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
Dependency Networks for Collaborative Filtering and Data Visualization CoRR (2013)
Dan Geiger, David Heckerman
Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks CoRR (2013)
Christopher Meek, Bo Thiesson, David Heckerman
Staged Mixture Modelling and Boosting CoRR (2013)
David Heckerman, Eric Horvitz, Blackford Middleton
An Approximate Nonmyopic Computation for Value of Information CoRR (2013)
David Heckerman, Eric Horvitz
Inferring Informational Goals from Free-Text Queries: A Bayesian Approach CoRR (2013)
Dan Geiger, David Heckerman
Inference Algorithms for Similarity Networks CoRR (2013)
Marina Meila, David Heckerman
An Experimental Comparison of Several Clustering and Initialization Methods CoRR (2013)
Eric Horvitz, John S. Breese, David Heckerman, David Hovel, Koos Rommelse
The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users CoRR (2013)
David Heckerman, Ross D. Shachter
A Definition and Graphical Representation for Causality CoRR (2013)
David Heckerman
An Axiomatic Framework for Belief Updates CoRR (2013)
Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman
A powerful and efficient set test for genetic markers that handles confounders. Bioinform. 29 (12) (2013)
Carl Myers Kadie, Christopher Meek, David Heckerman
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence CoRR (2013)
David Heckerman
Similarity Networks for the Construction of Multiple-Faults Belief Networks CoRR (2013)
David Heckerman, Eric Horvitz
The Myth of Modularity in Rule-Based Systems CoRR (2013)
David Heckerman, Michael Shwe
Diagnosis of Multiple Faults: A Sensitivity Analysis CoRR (2013)
David Maxwell Chickering, David Heckerman, Christopher Meek
A Bayesian Approach to Learning Bayesian Networks with Local Structure CoRR (2013)
Dan Geiger, David Heckerman
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions CoRR (2013)
David Heckerman, John S. Breese
A New Look at Causal Independence CoRR (2013)
David Heckerman
A Tractable Inference Algorithm for Diagnosing Multiple Diseases CoRR (2013)
David Maxwell Chickering, David Heckerman
Fast Learning from Sparse Data CoRR (2013)
David Heckerman, John S. Breese, Eric Horvitz
The Compilation of Decision Models CoRR (2013)
Dan Geiger, David Heckerman, Christopher Meek
Asymptotic Model Selection for Directed Networks with Hidden Variables CoRR (2013)
David Heckerman
An Empirical Comparison of Three Inference Methods CoRR (2013)
John S. Breese, David Heckerman, Carl Myers Kadie
Empirical Analysis of Predictive Algorithms for Collaborative Filtering CoRR (2013)
David Maxwell Chickering, David Heckerman
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network CoRR (2013)
David Heckerman, Holly Brügge Jimison
A Perspective on Confidence and Its Use in Focusing Attention During Knowledge Acquisition CoRR (2013)
Christopher Meek, David Heckerman
Structure and Parameter Learning for Causal Independence and Causal Interaction Models CoRR (2013)
David Heckerman
Probabilistic Interpretations for MYCIN's Certainty Factors CoRR (2013)
Ross D. Shachter, David Heckerman
A Backwards View for Assessment CoRR (2013)
Dan Geiger, David Heckerman
Advances in Probabilistic Reasoning CoRR (2013)
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
Learning Mixtures of DAG Models CoRR (2013)
Dan Geiger, David Heckerman
A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks CoRR (2013)
John S. Breese, David Heckerman
Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment CoRR (2013)
David Heckerman
A Bayesian Approach to Learning Causal Networks CoRR (2013)
Dan Geiger, David Heckerman
Learning Gaussian Networks CoRR (2013)
David Heckerman, Dan Geiger
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains CoRR (2013)
Guy Shani, Ronen I. Brafman, David Heckerman
An MDP-based Recommender System CoRR (2013)
Michael P. Wellman, David Heckerman
The Role of Calculi in Uncertain Inference Systems CoRR (2013)
David Heckerman, Ross D. Shachter
A Decision-Based View of Causality CoRR (2013)
David Heckerman, E. H. Mamdani
Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (1993) CoRR (2013)
David Heckerman, Eric Horvitz
Problem Formulation as the Reduction of a Decision Model CoRR (2013)
Nebojsa Jojic, Vladimir Jojic, David Heckerman
Joint discovery of haplotype blocks and complex trait associations from SNP sequences CoRR (2012)
Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang
Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB (2012)
Chong Wang, David M. Blei, David Heckerman
Continuous Time Dynamic Topic Models CoRR (2012)
Jennifer Listgarten, David Heckerman
Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach CoRR (2012)
David Maxwell Chickering, Christopher Meek, David Heckerman
Large-Sample Learning of Bayesian Networks is NP-Hard CoRR (2012)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models CoRR (2012)
Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI (2011)
Bongshin Lee, Lev Nachmanson, George G. Robertson, Jonathan M. Carlson, David Heckerman
PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees. Bioinform. 25 (19) (2009)
Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic
Shift-Invariant Adaptive Double Threading: Learning MHC II-Peptide Binding. J. Comput. Biol. 15 (7) (2008)
David C. Nickle, Nebojsa Jojic, David Heckerman, Vladimir Jojic, Darko Kirovski, Morgane Rolland, Sergei L. Kosakovsky Pond, James I. Mullins
Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al. PLoS Comput. Biol. 4 (1) (2008)
Jennifer Listgarten, Zabrina L. Brumme, Carl Myers Kadie, Gao Xiaojiang, Bruce D. Walker, Mary Carrington, Philip J. R. Goulder, David Heckerman
Statistical Resolution of Ambiguous HLA Typing Data. PLoS Comput. Biol. 4 (2) (2008)
Chong Wang, David M. Blei, David Heckerman
Continuous Time Dynamic Topic Models. UAI (2008)
Jonathan M. Carlson, Zabrina L. Brumme, Christine M. Rousseau, Chanson J. Brumme, Philippa Matthews, Carl Myers Kadie, James I. Mullins, Bruce D. Walker, P. Richard Harrigan, Philip J. R. Goulder, David Heckerman
Phylogenetic Dependency Networks: Inferring Patterns of CTL Escape and Codon Covariation in HIV-1 Gag. PLoS Comput. Biol. 4 (11) (2008)
Joshua Goodman, Gordon V. Cormack, David Heckerman
Spam and the ongoing battle for the inbox. Commun. ACM 50 (2) (2007)
David C. Nickle, Morgane Rolland, Mark A. Jensen, Sergei L. Kosakovsky Pond, Wenjie Deng, Mark Seligman, David Heckerman, James I. Mullins, Nebojsa Jojic
Coping with Viral Diversity in HIV Vaccine Design. PLoS Comput. Biol. 3 (4) (2007)
Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic
Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding. RECOMB (2007)
David Heckerman, Carl Myers Kadie, Jennifer Listgarten
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. J. Comput. Biol. 14 (6) (2007)
Jennifer Listgarten, David Heckerman
Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach. UAI (2007)
Jennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman
A Statistical Framework for Modeling HLA-Dependent T Cell Response Data. PLoS Comput. Biol. 3 (10) (2007)
Francis R. Bach, David Heckerman, Eric Horvitz
Considering Cost Asymmetry in Learning Classifiers. J. Mach. Learn. Res. 7 (2006)
Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman
Learning MHC I - peptide binding. ISMB (Supplement of Bioinformatics) (2006)
David Heckerman, Carl Myers Kadie, Jennifer Listgarten
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB (2006)
Guy Shani, David Heckerman, Ronen I. Brafman
An MDP-Based Recommender System. J. Mach. Learn. Res. 6 (2005)
David Heckerman, Tom Berson, Joshua Goodman, Andrew Y. Ng
The First Conference on E-mail and Anti-Spam. AI Mag. 26 (1) (2005)
Francis R. Bach, David Heckerman, Eric Horvitz
On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers. AISTATS (2005)
Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS (2005)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models. UAI (2004)
David Maxwell Chickering, David Heckerman, Christopher Meek
Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. 5 (2004)
Nebojsa Jojic, Vladimir Jojic, David Heckerman
Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. UAI (2004)
Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman
Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) (2004)
David Heckerman
Graphical models for data mining. KDD (2004)
David Maxwell Chickering, David Heckerman
Targeted Advertising on the Web with Inventory Management. Interfaces 33 (5) (2003)
Geoff Hulten, David Maxwell Chickering, David Heckerman
Learning Bayesian Networks From Dependency Networks: A Preliminary Study. AISTATS (2003)
Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7 (4) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Heckerman