Dan Geiger

Publication Activity (10 Years)

Years Active: 1988-2021
Publications (10 Years): 3

Top Venues

CoRR

Bioinform.

Publications

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)
Dan Geiger, David Heckerman
Dependence and Relevance: A probabilistic view. CoRR (2016)
Ann Becker, Reuven Bar-Yehuda, Dan Geiger
Random Algorithms for the Loop Cutset Problem. CoRR (2014)
Nir Friedman, Dan Geiger, Noam Lotner
Likelihood Computations Using Value Abstractions CoRR (2013)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data CoRR (2013)
Dan Geiger, David Heckerman
Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks CoRR (2013)
Dan Geiger, David Heckerman
Inference Algorithms for Similarity Networks CoRR (2013)
Dan Geiger
An Entropy-based Learning Algorithm of Bayesian Conditional Trees CoRR (2013)
Dan Geiger, Christopher Meek, Bernd Sturmfels
Factorization of Discrete Probability Distributions CoRR (2013)
Dan Geiger, Azaria Paz, Judea Pearl
On Testing Whether an Embedded Bayesian Network Represents a Probability Model CoRR (2013)
Dmitry Rusakov, Dan Geiger
Asymptotic Model Selection for Naive Bayesian Networks CoRR (2013)
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, Elizabeth Thompson, Dan Geiger
A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. Bioinform. 29 (2) (2013)
Ann Becker, Dan Geiger, Christopher Meek
Perfect Tree-Like Markovian Distributions CoRR (2013)
Dan Geiger, Christopher Meek
Graphical Models and Exponential Families CoRR (2013)
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, Elizabeth Thompson, Dan Geiger
A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. Bioinform. 29 (5) (2013)
Dan Geiger, Christopher Meek
Quantifier Elimination for Statistical Problems CoRR (2013)
Dan Geiger, David Heckerman
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions CoRR (2013)
Dan Geiger, David Heckerman, Christopher Meek
Asymptotic Model Selection for Directed Networks with Hidden Variables CoRR (2013)
Dan Geiger, David Heckerman
Advances in Probabilistic Reasoning CoRR (2013)
Dan Geiger, David Heckerman
A Characterization of the Dirichlet Distribution with Application to Learning Bayesian 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)
Ann Becker, Dan Geiger
A Sufficiently Fast Algorithm for Finding Close to Optimal Junction Trees CoRR (2013)
Dan Geiger, Prakash P. Shenoy
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997) CoRR (2013)
Dan Geiger, Tom S. Verma, Judea Pearl
d-Separation: From Theorems to Algorithms CoRR (2013)
Ann Becker, Dan Geiger
Approximation Algorithms for the Loop Cutset Problem CoRR (2013)
Dan Geiger, Judea Pearl
On the Logic of Causal Models CoRR (2013)
Ydo Wexler, Dan Geiger
Importance Sampling via Variational Optimization CoRR (2012)
Ari Frank, Dan Geiger, Zohar Yakhini
A Distance-Based Branch and Bound Feature Selection Algorithm CoRR (2012)
Dmitry Rusakov, Dan Geiger
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models CoRR (2012)
Reuven Bar-Yehuda, Ann Becker, Dan Geiger
Randomized Algorithms for the Loop Cutset Problem CoRR (2011)
Sivan Bercovici, Dan Geiger
Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA. J. Comput. Biol. 18 (3) (2011)
Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv
Automatic boosting of cross-product coverage using Bayesian networks. Int. J. Softw. Tools Technol. Transf. 13 (3) (2011)
Barak Markus, Ohad S. Birk, Dan Geiger
Integration of SNP genotyping confidence scores in IBD inference. Bioinform. 27 (20) (2011)
Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger
Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Bioinform. 26 (12) (2010)
Sivan Bercovici, Dan Geiger
Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA. RECOMB (2010)
Sivan Bercovici, Dan Geiger
Inferring Ancestries Efficiently in Admixed Populations with Linkage Disequilibrium. J. Comput. Biol. 16 (8) (2009)
Dan Geiger, Christopher Meek, Ydo Wexler
Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinform. 25 (12) (2009)
Mark Silberstein, Artyom Sharov, Dan Geiger, Assaf Schuster
GridBot: execution of bags of tasks in multiple grids. SC (2009)
Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, John D. Owens
Efficient computation of sum-products on GPUs through software-managed cache. ICS (2008)
Ydo Wexler, Dan Geiger
Variational Upper and Lower Bounds for Probabilistic Graphical Models. J. Comput. Biol. 15 (7) (2008)
Sivan Bercovici, Dan Geiger, Liran Shlush, Karl Skorecki, Alan A. Templeton
Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information. RECOMB (2008)
Ron Zohar, Dan Geiger
Estimation of flows in flow networks. Eur. J. Oper. Res. 176 (2) (2007)
Ydo Wexler, Dan Geiger
Importance Sampling via Variational Optimization. UAI (2007)
Ydo Wexler, Dan Geiger
Variational Upper Bounds for Probabilistic Phylogenetic Models. RECOMB (2007)
Mark Silberstein, Dan Geiger, Assaf Schuster
A Distributed System for Genetic Linkage Analysis. GCCB (2006)
Mark Silberstein, Dan Geiger, Assaf Schuster, Miron Livny
Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy. HPDC (2006)
Dan Geiger, Christopher Meek, Ydo Wexler
A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. 27 (2006)
Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger
Finding Approximate Tandem Repeats in Genomic Sequences. J. Comput. Biol. 12 (7) (2005)
Dan Geiger, Christopher Meek
Structured Variational Inference Procedures and their Realizations. AISTATS (2005)
Dmitry Rusakov, Dan Geiger
Asymptotic Model Selection for Naive Bayesian Networks. J. Mach. Learn. Res. 6 (2005)
Gideon Greenspan, Dan Geiger
Model-Based Inference of Haplotype Block Variation. J. Comput. Biol. 11 (2/3) (2004)
Maáyan Fishelson, Dan Geiger
Optimizing Exact Genetic Linkage Computations. J. Comput. Biol. 11 (2/3) (2004)
Gideon Greenspan, Dan Geiger
High density linkage disequilibrium mapping using models of haplotype block variation. ISMB/ECCB (Supplement of Bioinformatics) (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)
Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger
Finding approximate tandem repeats in genomic sequences. RECOMB (2004)
Ari Frank, Dan Geiger, Zohar Yakhini
A Distance-Based Branch and Bound Feature Selection Algorithm. UAI (2003)
Gideon Greenspan, Dan Geiger
Model-based inference of haplotype block variation. RECOMB (2003)
Dmitry Rusakov, Dan Geiger
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models. UAI (2003)
Maáyan Fishelson, Dan Geiger
Optimizing exact genetic linkage computations. RECOMB (2003)
Maáyan Fishelson, Dan Geiger
Exact genetic linkage computations for general pedigrees. ISMB (2002)
Dan Geiger, Christopher Meek, Bernd Sturmfels
Factorization of Discrete Probability Distributions. UAI (2002)
Dmitry Rusakov, Dan Geiger
Asymptotic Model Selection for Naive Bayesian Networks. UAI (2002)
Ann Becker, Dan Geiger
A sufficiently fast algorithm for finding close to optimal clique trees. Artif. Intell. 125 (1-2) (2001)
Dmitry Rusakov, Dan Geiger
On Parameter Priors for Discrete DAG Models. AISTATS (2001)
Nir Friedman, Dan Geiger, Noam Lotner
Likelihood Computations Using Value Abstraction. UAI (2000)
Ann Becker, Dan Geiger, Christopher Meek
Perfect Tree-like Markovian Distributions. UAI (2000)
Ann Becker, Reuven Bar-Yehuda, Dan Geiger
Randomized Algorithms for the Loop Cutset Problem. J. Artif. Intell. Res. 12 (2000)
Dan Geiger, David Heckerman, Henry King, Christopher Meek
On the geometry of DAG models with hidden variables. AISTATS (1999)
Laxmi Parida, Dan Geiger
Mass Estimation of DNA Molecules and Extraction of Ordered Restriction Maps in Optical Mapping Imagery. Algorithmica 25 (2-3) (1999)
Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD (1999)
Ann Becker, Reuven Bar-Yehuda, Dan Geiger
Random Algorithms for the Loop Cutset Problem. UAI (1999)
Dan Geiger, Christopher Meek
Quantifier Elimination for Statistical Problems. UAI (1999)
Dan Geiger, David Heckerman
Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. UAI (1999)
Dan Geiger, David Heckerman
Probabilistic relevance relations. IEEE Trans. Syst. Man Cybern. Part A 28 (1) (1998)
Dan Geiger
Graphical Models and Exponential Families. UAI (1998)
Reuven Bar-Yehuda, Dan Geiger, Joseph Naor, Ron M. Roth
Approximation Algorithms for the Feedback Vertex Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. SIAM J. Comput. 27 (4) (1998)
Kirill Shoikhet, Dan Geiger
A Practical Algorithm for Finding Optimal Triangulations. AAAI/IAAI (1997)
Nir Friedman, Dan Geiger, Moisés Goldszmidt
Bayesian Network Classifiers. Mach. Learn. 29 (2-3) (1997)
Ann Becker, Dan Geiger
A sufficiently fast algorithm for finding close to optimal junction trees. UAI (1996)
Dan Geiger, David Heckerman
Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets. Artif. Intell. 82 (1-2) (1996)
Dan Geiger, David Heckerman, Christopher Meek
Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI (1996)
Ann Becker, Dan Geiger
Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem. Artif. Intell. 83 (1) (1996)
Dan Geiger, David Heckerman
A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks. UAI (1995)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Mach. Learn. 20 (3) (1995)
David Heckerman, Dan Geiger
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. UAI (1995)
David Maxwell Chickering, Dan Geiger, David Heckerman
On Finding a Cycle Basis with a Shortest Maximal Cycle. Inf. Process. Lett. 54 (1) (1995)
Amir Eliaz, Dan Geiger
Word-level recognition of small sets of hand-written words. Pattern Recognit. Lett. 16 (10) (1995)
Dan Geiger, Azaria Paz, Judea Pearl
On Testing Whether an Embedded Bayesian Network Represents a Probability Model. UAI (1994)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI (1994)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop (1994)
Ann Becker, Dan Geiger
Approximation Algorithms for the Loop Cutset Problem. UAI (1994)
Dan Geiger, David Heckerman
Learning Gaussian Networks. UAI (1994)
Reuven Bar-Yehuda, Dan Geiger, Joseph Naor, Ron M. Roth
Approximation Algorithms for the Vertex Feedback Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. SODA (1994)
Dan Geiger, David Heckerman
Inference Algorithms for Similarity Networks. UAI (1993)
Dan Geiger
An Entropy-based Learning Algorithm of Bayesian Conditional Trees. UAI (1992)
Dan Geiger, David Heckerman
Advances in Probabilistic Reasoning. UAI (1991)
Dan Geiger, Jeffrey A. Barnett
Optimal Satisficing Tree Searches. AAAI (1991)
Dan Geiger, Azaria Paz, Judea Pearl
Axioms and Algorithms for Inferences Involving Probabilistic Independence Inf. Comput. 91 (1) (1991)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dan Geiger