| 2010 | RECOMB | Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA. | Sivan Bercovici, Dan Geiger |
| 2009 | SC | GridBot: execution of bags of tasks in multiple grids. | Mark Silberstein, Artyom Sharov, Dan Geiger, Assaf Schuster |
| 2008 | ICS | Efficient computation of sum-products on GPUs through software-managed cache. | Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, John D. Owens |
| 2008 | RECOMB | Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information. | Sivan Bercovici, Dan Geiger, Liran Shlush, Karl Skorecki, Alan A. Templeton |
| 2007 | RECOMB | Variational Upper Bounds for Probabilistic Phylogenetic Models. | Ydo Wexler, Dan Geiger |
| 2007 | UAI | Importance Sampling via Variational Optimization. | Ydo Wexler, Dan Geiger |
| 2006 | HPDC | Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy. | Mark Silberstein, Dan Geiger, Assaf Schuster, Miron Livny |
| 2005 | AISTATS | Structured Variational Inference Procedures and their Realizations. | Dan Geiger, Christopher Meek |
| 2004 | ISMB | High density linkage disequilibrium mapping using models of haplotype block variation. | Gideon Greenspan, Dan Geiger |
| 2004 | ISMB | Efficient approximations for learning phylogenetic HMM models from data. | Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman |
| 2004 | RECOMB | Finding approximate tandem repeats in genomic sequences. | Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger |
| 2003 | RECOMB | Optimizing exact genetic linkage computations. | Mayan Fishelson, Dan Geiger |
| 2003 | RECOMB | Model-based inference of haplotype block variation. | Gideon Greenspan, Dan Geiger |
| 2003 | UAI | A Distance-Based Branch and Bound Feature Selection Algorithm. | Ari Frank, Dan Geiger, Zohar Yakhini |
| 2003 | UAI | Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models. | Dmitry Rusakov, Dan Geiger |
| 2002 | ISMB | Exact genetic linkage computations for general pedigrees. | Mayan Fishelson, Dan Geiger |
| 2002 | UAI | Factorization of Discrete Probability Distributions. | Dan Geiger, Christopher Meek, Bernd Sturmfels |
| 2002 | UAI | Asymptotic Model Selection for Naive Bayesian Networks. | Dmitry Rusakov, Dan Geiger |
| 2001 | AISTATS | On Parameter Priors for Discrete DAG Models. | Dmitry Rusakov, Dan Geiger |
| 2000 | UAI | Perfect Tree-like Markovian Distributions. | Ann Becker, Dan Geiger, Christopher Meek |
| 2000 | UAI | Likelihood Computations Using Value Abstraction. | Nir Friedman, Dan Geiger, Noam Lotner |
| 1999 | AISTATS | On the geometry of DAG models with hidden variables. | Dan Geiger, David Heckerman, Henry King, Christopher Meek |
| 1999 | KDD | Density-Based Indexing for Approximate Nearest-Neighbor Queries. | Kristin P. Bennett, Usama M. Fayyad, Dan Geiger |
| 1999 | UAI | Random Algorithms for the Loop Cutset Problem. | Ann Becker, Reuven Bar-Yehuda, Dan Geiger |
| 1999 | UAI | Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. | Dan Geiger, David Heckerman |
| 1999 | UAI | Quantifier Elimination for Statistical Problems. | Dan Geiger, Christopher Meek |
| 1998 | UAI | Graphical Models and Exponential Families. | Dan Geiger |
| 1997 | AAAI | A Practical Algorithm for Finding Optimal Triangulations. | Kirill Shoikhet, Dan Geiger |
| 1996 | UAI | A sufficiently fast algorithm for finding close to optimal junction trees. | Ann Becker, Dan Geiger |
| 1996 | UAI | Asymptotic Model Selection for Directed Networks with Hidden Variables. | Dan Geiger, David Heckerman, Christopher Meek |
| 1995 | UAI | A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks. | Dan Geiger, David Heckerman |
| 1995 | UAI | Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. | David Heckerman, Dan Geiger |
| 1994 | KDD | Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. | David Heckerman, Dan Geiger, David Maxwell Chickering |
| 1994 | SODA | 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 |
| 1994 | UAI | Approximation Algorithms for the Loop Cutset Problem. | Ann Becker, Dan Geiger |
| 1994 | UAI | Learning Gaussian Networks. | Dan Geiger, David Heckerman |
| 1994 | UAI | On Testing Whether an Embedded Bayesian Network Represents a Probability Model. | Dan Geiger, Azaria Paz, Judea Pearl |
| 1994 | UAI | Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. | David Heckerman, Dan Geiger, David Maxwell Chickering |
| 1993 | UAI | Inference Algorithms for Similarity Networks. | Dan Geiger, David Heckerman |
| 1992 | UAI | An Entropy-based Learning Algorithm of Bayesian Conditional Trees. | Dan Geiger |
| 1991 | AAAI | Optimal Satisficing Tree Searches. | Dan Geiger, Jeffrey A. Barnett |
| 1991 | UAI | Advances in Probabilistic Reasoning. | Dan Geiger, David Heckerman |
| 1990 | AAAI | Learning Causal Trees from Dependence Information. | Dan Geiger, Azaria Paz, Judea Pearl |
| 1990 | UAI | separable and transitive graphoids. | Dan Geiger, David Heckerman |
| 1989 | UAI | d-Separation: From Theorems to Algorithms. | Dan Geiger, Thomas Verma, Judea Pearl |
| 1988 | UAI | On the logic of causal models. | Dan Geiger, Judea Pearl |