On the logic of causal models. - Dan Geiger; Judea Pearl (UAI, 1988)

d-Separation: From Theorems to Algorithms. - Dan Geiger; Thomas Verma; Judea Pearl (UAI, 1989)

Conditional independence and its representations. - Judea Pearl; Dan Geiger; Thomas Verma (Kybernetika, 1989)

Learning Causal Trees from Dependence Information. - Dan Geiger; Azaria Paz; Judea Pearl (AAAI, 1990)

separable and transitive graphoids. - Dan Geiger; David Heckerman (UAI, 1990)

Logical and algorithmic properties of independence and their application to Bayesian networks. - Dan Geiger; Judea Pearl (Ann. Math. Artif. Intell., 1990)

Identifying independence in bayesian networks. - Dan Geiger; Thomas Verma; Judea Pearl (Networks, 1990)

Optimal Satisficing Tree Searches. - Dan Geiger; Jeffrey A. Barnett (AAAI, 1991)

Advances in Probabilistic Reasoning. - Dan Geiger; David Heckerman (UAI, 1991)

Axioms and Algorithms for Inferences Involving Probabilistic Independence - Dan Geiger; Azaria Paz; Judea Pearl (Inf. Comput., 1991)

An Entropy-based Learning Algorithm of Bayesian Conditional Trees. - Dan Geiger (UAI, 1992)

Inference Algorithms for Similarity Networks. - Dan Geiger; David Heckerman (UAI, 1993)

Approximation Algorithms for the Vertex Feedback Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. - Reuven Bar-Yehuda; Dan Geiger; Joseph Naor; Ron M. Roth (SODA, 1994)

Approximation Algorithms for the Loop Cutset Problem. - Ann Becker; Dan Geiger (UAI, 1994)

Learning Gaussian Networks. - Dan Geiger; David Heckerman (UAI, 1994)

On Testing Whether an Embedded Bayesian Network Represents a Probability Model. - Dan Geiger; Azaria Paz; Judea Pearl (UAI, 1994)

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks. - Dan Geiger; David Heckerman (UAI, 1995)

Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. - David Heckerman; Dan Geiger (UAI, 1995)

On Finding a Cycle Basis with a Shortest Maximal Cycle. - David Maxwell Chickering; Dan Geiger; David Heckerman (Inf. Process. Lett., 1995)

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. - David Heckerman; Dan Geiger; David Maxwell Chickering (Mach. Learn., 1995)

Word-level recognition of small sets of hand-written words. - Amir Eliaz; Dan Geiger (Pattern Recognit. Lett., 1995)

A sufficiently fast algorithm for finding close to optimal junction trees. - Ann Becker; Dan Geiger (UAI, 1996)

Asymptotic Model Selection for Directed Networks with Hidden Variables. - Dan Geiger; David Heckerman; Christopher Meek (UAI, 1996)

Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem. - Ann Becker; Dan Geiger (Artif. Intell., 1996)

Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets. - Dan Geiger; David Heckerman (Artif. Intell., 1996)

A Practical Algorithm for Finding Optimal Triangulations. - Kirill Shoikhet; Dan Geiger (AAAI/IAAI, 1997)

Bayesian Network Classifiers. - Nir Friedman; Dan Geiger; Moisés Goldszmidt (Mach. Learn., 1997)

Asymptotic Model Selection for Directed Networks with Hidden Variables. - Dan Geiger; David Heckerman; Christopher Meek (Learning in Graphical Models, 1998)

Graphical Models and Exponential Families. - Dan Geiger (UAI, 1998)

Approximation Algorithms for the Feedback Vertex Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. - Reuven Bar-Yehuda; Dan Geiger; Joseph Naor; Ron M. Roth (SIAM J. Comput., 1998)

Probabilistic relevance relations. - Dan Geiger; David Heckerman (IEEE Trans. Syst. Man Cybern. Part A, 1998)

On the geometry of DAG models with hidden variables. - Dan Geiger; David Heckerman; Henry King; Christopher Meek (AISTATS, 1999)

Density-Based Indexing for Approximate Nearest-Neighbor Queries. - Kristin P. Bennett; Usama M. Fayyad; Dan Geiger (KDD, 1999)

Random Algorithms for the Loop Cutset Problem. - Ann Becker; Reuven Bar-Yehuda; Dan Geiger (UAI, 1999)

Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. - Dan Geiger; David Heckerman (UAI, 1999)

Quantifier Elimination for Statistical Problems. - Dan Geiger; Christopher Meek (UAI, 1999)

Mass Estimation of DNA Molecules and Extraction of Ordered Restriction Maps in Optical Mapping Imagery. - Laxmi Parida; Dan Geiger (Algorithmica, 1999)

Perfect Tree-like Markovian Distributions. - Ann Becker; Dan Geiger; Christopher Meek (UAI, 2000)

Likelihood Computations Using Value Abstraction. - Nir Friedman; Dan Geiger; Noam Lotner (UAI, 2000)

Randomized Algorithms for the Loop Cutset Problem. - Ann Becker; Reuven Bar-Yehuda; Dan Geiger (J. Artif. Intell. Res., 2000)

On Parameter Priors for Discrete DAG Models. - Dmitry Rusakov; Dan Geiger (AISTATS, 2001)

A sufficiently fast algorithm for finding close to optimal clique trees. - Ann Becker; Dan Geiger (Artif. Intell., 2001)

Exact genetic linkage computations for general pedigrees. - Maáyan Fishelson; Dan Geiger (ISMB, 2002)

Factorization of Discrete Probability Distributions. - Dan Geiger; Christopher Meek; Bernd Sturmfels (UAI, 2002)

A Distance-Based Branch and Bound Feature Selection Algorithm. - Ari Frank; Dan Geiger; Zohar Yakhini (UAI, 2003)

Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models. - Dmitry Rusakov; Dan Geiger (UAI, 2003)

High density linkage disequilibrium mapping using models of haplotype block variation. - Gideon Greenspan; Dan Geiger (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Efficient approximations for learning phylogenetic HMM models from data. - Vladimir Jojic; Nebojsa Jojic; Christopher Meek; Dan Geiger; Adam C. Siepel; David Haussler; David Heckerman (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Optimizing Exact Genetic Linkage Computations. - Maáyan Fishelson; Dan Geiger (J. Comput. Biol., 2004)

Model-Based Inference of Haplotype Block Variation. - Gideon Greenspan; Dan Geiger (J. Comput. Biol., 2004)

Structured Variational Inference Procedures and their Realizations. - Dan Geiger; Christopher Meek (AISTATS, 2005)

Finding Approximate Tandem Repeats in Genomic Sequences. - Ydo Wexler; Zohar Yakhini; Yechezkel Kashi; Dan Geiger (J. Comput. Biol., 2005)

Asymptotic Model Selection for Naive Bayesian Networks. - Dmitry Rusakov; Dan Geiger (J. Mach. Learn. Res., 2005)

A Distributed System for Genetic Linkage Analysis. - Mark Silberstein; Dan Geiger; Assaf Schuster (GCCB, 2006)

Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy. - Mark Silberstein; Dan Geiger; Assaf Schuster; Miron Livny (HPDC, 2006)

A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. - Dan Geiger; Christopher Meek; Ydo Wexler (J. Artif. Intell. Res., 2006)

Variational Upper Bounds for Probabilistic Phylogenetic Models. - Ydo Wexler; Dan Geiger (RECOMB, 2007)

Importance Sampling via Variational Optimization. - Ydo Wexler; Dan Geiger (UAI, 2007)

Estimation of flows in flow networks. - Ron Zohar; Dan Geiger (Eur. J. Oper. Res., 2007)

Efficient computation of sum-products on GPUs through software-managed cache. - Mark Silberstein; Assaf Schuster; Dan Geiger; Anjul Patney; John D. Owens (ICS, 2008)

Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information. - Sivan Bercovici; Dan Geiger; Liran Shlush; Karl Skorecki; Alan A. Templeton (RECOMB, 2008)

Variational Upper and Lower Bounds for Probabilistic Graphical Models. - Ydo Wexler; Dan Geiger (J. Comput. Biol., 2008)

GridBot: execution of bags of tasks in multiple grids. - Mark Silberstein; Artyom Sharov; Dan Geiger; Assaf Schuster (SC, 2009)

Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. - Dan Geiger; Christopher Meek; Ydo Wexler (Bioinform., 2009)

Inferring Ancestries Efficiently in Admixed Populations with Linkage Disequilibrium. - Sivan Bercovici; Dan Geiger (J. Comput. Biol., 2009)

Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. - Sivan Bercovici; Christopher Meek; Ydo Wexler; Dan Geiger (Bioinform., 2010)

Integration of SNP genotyping confidence scores in IBD inference. - Barak Markus; Ohad S. Birk; Dan Geiger (Bioinform., 2011)

Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA. - Sivan Bercovici; Dan Geiger (J. Comput. Biol., 2011)

Automatic boosting of cross-product coverage using Bayesian networks. - Dorit Baras; Shai Fine; Laurent Fournier; Dan Geiger; Avi Ziv (Int. J. Softw. Tools Technol. Transf., 2011)

A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. - Mark Silberstein; Omer Weissbrod; Lars Otten; Anna Tzemach; Andrei Anisenia; Oren Shtark; Dvir Tuberg; Eddie Galfrin; Irena Gannon; Adel Shalata; Zvi U. Borochowitz; Rina Dechter; et al. (Bioinform., 2013)

Likelihood Computations Using Value Abstractions - Nir Friedman; Dan Geiger; Noam Lotner (CoRR, 2013)

Graphical Models and Exponential Families - Dan Geiger; Christopher Meek (CoRR, 2013)

Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks - Dan Geiger; David Heckerman (CoRR, 2013)

Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997) - Dan Geiger; Prakash P. Shenoy (CoRR, 2013)

Dependence and Relevance: A probabilistic view. - Dan Geiger; David Heckerman (CoRR, 2016)

Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions. - Dan Geiger; David Heckerman (CoRR, 2021)

Likelihoods and Parameter Priors for Bayesian Networks. - David Heckerman; Dan Geiger (CoRR, 2021)