# Roni Khardon

According to our database

Collaborative distances:

^{1}, Roni Khardon authored at least 90 papers between 1994 and 2018.Collaborative distances:

## Timeline

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## Bibliography

2018

Lifted Stochastic Planning, Belief Propagation and Marginal MAP.

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Stochastic Planning and Lifted Inference.

CoRR, 2017

Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hindsight Optimization for Hybrid State and Action MDPs.

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Online Symbolic Gradient-Based Optimization for Factored Action MDPs.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

The complexity of reasoning with FODD and GFODD.

Artif. Intell., 2015

Memory-Effcient Symbolic Online Planning for Factored MDPs.

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Sparse Variational Inference for Generalized GP Models.

Proceedings of the 32nd International Conference on Machine Learning, 2015

Hindsight Optimization for Probabilistic Planning with Factored Actions.

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

Factored MCTS for Large Scale Stochastic Planning.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Probabilistic Relational Planning with First Order Decision Diagrams.

CoRR, 2014

The Complexity of Reasoning with FODD and GFODD.

CoRR, 2014

The Complexity of Reasoning with FODD and GFODD.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Online Learning with Pairwise Loss Functions

CoRR, 2013

Solving Relational MDPs with Exogenous Events and Additive Rewards.

CoRR, 2013

Mining closed patterns in relational, graph and network data.

Ann. Math. Artif. Intell., 2013

Solving Relational MDPs with Exogenous Events and Additive Rewards.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Relational Markov Decision Processes: Promise and Prospects.

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions.

Proceedings of the COLT 2012, 2012

Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach

CoRR, 2012

Policy Iteration for Relational MDPs

CoRR, 2012

Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes

CoRR, 2012

A mixture of experts based discretization approach for characterizing subsurface contaminant source zones.

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sparse Gaussian Processes for Multi-task Learning.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

A discriminative-generative approach to the characterization of subsurface contaminant source zones.

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Abstract planning for reactive robots.

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Planning in Factored Action Spaces with Symbolic Dynamic Programming.

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

The first learning track of the international planning competition.

Machine Learning, 2011

Probabilistic Relational Planning with First Order Decision Diagrams.

J. Artif. Intell. Res., 2011

Nonparametric Bayesian Estimation of Periodic Functions

CoRR, 2011

First Order Decision Diagrams for Relational MDPs

CoRR, 2011

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms

CoRR, 2011

Decision-theoretic planning with generalized first-order decision diagrams.

Artif. Intell., 2011

2010

Shift-Invariant Grouped Multi-task Learning for Gaussian Processes.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Self-Taught Decision Theoretic Planning with First Order Decision Diagrams.

Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

Relational Partially Observable MDPs.

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Stochastic Planning and Lifted Inference.

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2009

Kernels for Periodic Time Series Arising in Astronomy.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Generalized First Order Decision Diagrams for First Order Markov Decision Processes.

Proceedings of the IJCAI 2009, 2009

2008

First Order Decision Diagrams for Relational MDPs.

J. Artif. Intell. Res., 2008

Stochastic Planning with First Order Decision Diagrams.

Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007

Noise Tolerant Variants of the Perceptron Algorithm.

Journal of Machine Learning Research, 2007

Learning Horn Expressions with LOGAN-H.

Journal of Machine Learning Research, 2007

Policy Iteration for Relational MDPs.

Proceedings of the UAI 2007, 2007

First Order Decision Diagrams for Relational MDPs.

Proceedings of the IJCAI 2007, 2007

On Mining Closed Sets in Multi-Relational Data.

Proceedings of the IJCAI 2007, 2007

Learning from interpretations: a rooted kernel for ordered hypergraphs.

Proceedings of the Machine Learning, 2007

2006

Complexity parameters for first order classes.

Machine Learning, 2006

The subsumption lattice and query learning.

J. Comput. Syst. Sci., 2006

Polynomial certificates for propositional classes.

Inf. Comput., 2006

2005

Maximum Margin Algorithms with Boolean Kernels.

Journal of Machine Learning Research, 2005

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.

J. Artif. Intell. Res., 2005

2004

Foreword.

Theor. Comput. Sci., 2004

Bottom-Up ILP Using Large Refinement Steps.

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

The Subsumption Lattice and Query Learning.

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003

Discovering all most specific sentences.

ACM Trans. Database Syst., 2003

Complexity Parameters for First-Order Classes.

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Maximum Margin Algorithms with Boolean Kernels.

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Polynomial Certificates for Propositional Classes.

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Learning Closed Horn Expressions.

Inf. Comput., 2002

2001

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Editors' Introduction.

Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000

A New Algorithm for Learning Range Restricted Horn Expressions.

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Learning Horn Expressions with LogAn-H.

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Learning to Reason with a Restricted View.

Machine Learning, 1999

Learning Function-Free Horn Expressions.

Machine Learning, 1999

Learning to Take Actions.

Machine Learning, 1999

Learning Action Strategies for Planning Domains.

Artif. Intell., 1999

Reasoning with Examples: Propositional Formulae and Database Dependencies.

Acta Inf., 1999

Relational Learning for NLP using Linear Threshold Elements.

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Learning Range Restricted Horn Expressions.

Proceedings of the Computational Learning Theory, 4th European Conference, 1999

1998

On Learning Read-k-Satisfy-j DNF.

SIAM J. Comput., 1998

Learning First Order Universal Horn Expressions.

Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

1997

Learning to reason.

J. ACM, 1997

Defaults and Relevance in Model-Based Reasoning.

Artif. Intell., 1997

Data mining, Hypergraph Transversals, and Machine Learning.

Proceedings of the Sixteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1997

1996

Partitioning and Scheduling to Counteract Overhead.

Parallel Computing, 1996

Reasoning with Models.

Artif. Intell., 1996

Learning to Take Actions.

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Translating between Horn Representations and their Characteristic Models.

J. Artif. Intell. Res., 1995

Translating between Horn Representations and their Characteristic Models.

CoRR, 1995

Default-Reasoning with Models.

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Learning to Reason with a Restricted View.

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

On Using the Fourier Transform to Learn Disjoint DNF.

Inf. Process. Lett., 1994

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

Reasoning with Models.

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Learning to Reason.

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994