Roni Khardon

According to our database, Roni Khardon authored at least 86 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Explainable models via compression of tree ensembles.

Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli

Mach. Learn., 2024

2023

Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes.

Weizhe Chen, Roni Khardon, Lantao Liu

CoRR, 2023

Direct Uncertainty Quantification.

Yadi Wei, Roni Khardon

CoRR, 2023

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning.

Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

On the Performance of Direct Loss Minimization for Bayesian Neural Networks.

Yadi Wei, Roni Khardon

CoRR, 2022

AK: Attentive Kernel for Information Gathering.

Weizhe Chen, Roni Khardon, Lantao Liu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Approximate Inference for Stochastic Planning in Factored Spaces.

Zhennan Wu, Roni Khardon

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Direct Loss Minimization for Sparse Gaussian Processes.

Yadi Wei, Rishit Sheth, Roni Khardon

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Sampling Networks and Aggregate Simulation for Online POMDP Planning.

Hao Cui, Roni Khardon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Planning with Lifted Symbolic Trajectory Optimization.

Hao Cui, Thomas Keller, Roni Khardon

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models.

Rishit Sheth, Roni Khardon

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.

Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky

AI Mag., 2018

From Stochastic Planning to Marginal MAP.

Hao Cui, Radu Marinescu, Roni Khardon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Lifted Stochastic Planning, Belief Propagation and Marginal MAP.

Hao Cui, Roni Khardon

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

2017

Stochastic Planning and Lifted Inference.

Roni Khardon, Scott Sanner

CoRR, 2017

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

Rishit Sheth, Roni Khardon

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.

Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

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

2016

Online Symbolic Gradient-Based Optimization for Factored Action MDPs.

Hao Cui, Roni Khardon

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

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

Rishit Sheth, Roni Khardon

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

2015

The complexity of reasoning with FODD and GFODD.

Benjamin J. Hescott, Roni Khardon

Artif. Intell., 2015

Memory-Effcient Symbolic Online Planning for Factored MDPs.

Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern

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

Sparse Variational Inference for Generalized GP Models.

Rishit Sheth, Yuyang Wang, Roni Khardon

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

Hindsight Optimization for Probabilistic Planning with Factored Actions.

Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue

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

Factored MCTS for Large Scale Stochastic Planning.

Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli

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

2013

Online Learning with Pairwise Loss Functions

Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones

CoRR, 2013

Mining closed patterns in relational, graph and network data.

Gemma C. Garriga, Roni Khardon, Luc De Raedt

Ann. Math. Artif. Intell., 2013

Solving Relational MDPs with Exogenous Events and Additive Rewards.

Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern

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

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs.

Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli

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.

Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions.

Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones

Proceedings of the COLT 2012, 2012

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

Yuyang Wang, Roni Khardon

CoRR, 2012

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

Yuyang Wang, Roni Khardon, Pavlos Protopapas

CoRR, 2012

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

Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sparse Gaussian Processes for Multi-task Learning.

Yuyang Wang, Roni Khardon

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

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

Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller

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

Abstract planning for reactive robots.

Saket Joshi, Paul W. Schermerhorn, Roni Khardon, Matthias Scheutz

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

Planning in Factored Action Spaces with Symbolic Dynamic Programming.

Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon

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

2011

The first learning track of the international planning competition.

Alan Fern, Roni Khardon, Prasad Tadepalli

Mach. Learn., 2011

Probabilistic Relational Planning with First Order Decision Diagrams.

Saket Joshi, Roni Khardon

J. Artif. Intell. Res., 2011

Nonparametric Bayesian Estimation of Periodic Functions

Yuyang Wang, Roni Khardon, Pavlos Protopapas

CoRR, 2011

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

Saket Joshi, Kristian Kersting, Roni Khardon

Artif. Intell., 2011

2010

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

Yuyang Wang, Roni Khardon, Pavlos Protopapas

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.

Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl

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.

Saket Joshi, Kristian Kersting, Roni Khardon

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

Relational Partially Observable MDPs.

Chenggang Wang, Roni Khardon

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

Stochastic Planning and Lifted Inference.

Roni Khardon

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2009

Kernels for Periodic Time Series Arising in Astronomy.

Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock

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

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

Saket Joshi, Kristian Kersting, Roni Khardon

Proceedings of the IJCAI 2009, 2009

2008

First Order Decision Diagrams for Relational MDPs.

Chenggang Wang, Saket Joshi, Roni Khardon

J. Artif. Intell. Res., 2008

Stochastic Planning with First Order Decision Diagrams.

Saket Joshi, Roni Khardon

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

2007

Noise Tolerant Variants of the Perceptron Algorithm.

Roni Khardon, Gabriel Wachman

J. Mach. Learn. Res., 2007

Learning Horn Expressions with LOGAN-H.

Marta Arias, Roni Khardon, Jérôme Maloberti

J. Mach. Learn. Res., 2007

Policy Iteration for Relational MDPs.

Chenggang Wang, Roni Khardon

Proceedings of the UAI 2007, 2007

On Mining Closed Sets in Multi-Relational Data.

Gemma C. Garriga, Roni Khardon, Luc De Raedt

Proceedings of the IJCAI 2007, 2007

Learning from interpretations: a rooted kernel for ordered hypergraphs.

Gabriel Wachman, Roni Khardon

Proceedings of the Machine Learning, 2007

2006

Complexity parameters for first order classes.

Marta Arias, Roni Khardon

Mach. Learn., 2006

The subsumption lattice and query learning.

Roni Khardon, Marta Arias

J. Comput. Syst. Sci., 2006

Polynomial certificates for propositional classes.

Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio

Inf. Comput., 2006

2005

Maximum Margin Algorithms with Boolean Kernels.

Roni Khardon, Rocco A. Servedio

J. Mach. Learn. Res., 2005

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

Roni Khardon, Dan Roth, Rocco A. Servedio

J. Artif. Intell. Res., 2005

2004

Foreword.

Naoki Abe, Roni Khardon

Theor. Comput. Sci., 2004

Bottom-Up ILP Using Large Refinement Steps.

Marta Arias, Roni Khardon

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

2003

Discovering all most specific sentences.

Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm

ACM Trans. Database Syst., 2003

Polynomial Certificates for Propositional Classes.

Marta Arias, Roni Khardon, Rocco A. Servedio

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Learning Closed Horn Expressions.

Marta Arias, Roni Khardon

Inf. Comput., 2002

2001

Editors' Introduction.

Naoki Abe, Roni Khardon, Thomas Zeugmann

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

2000

A New Algorithm for Learning Range Restricted Horn Expressions.

Marta Arias, Roni Khardon

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

Learning Horn Expressions with LogAn-H.

Roni Khardon

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.

Roni Khardon, Dan Roth

Mach. Learn., 1999

Learning Function-Free Horn Expressions.

Roni Khardon

Mach. Learn., 1999

Learning to Take Actions.

Roni Khardon

Mach. Learn., 1999

Learning Action Strategies for Planning Domains.

Roni Khardon

Artif. Intell., 1999

Reasoning with Examples: Propositional Formulae and Database Dependencies.

Roni Khardon, Heikki Mannila, Dan Roth

Acta Informatica, 1999

Relational Learning for NLP using Linear Threshold Elements.

Roni Khardon, Dan Roth, Leslie G. Valiant

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

Learning Range Restricted Horn Expressions.

Roni Khardon

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

1998

On Learning Read-k-Satisfy-j DNF.

Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth

SIAM J. Comput., 1998

Learning First Order Universal Horn Expressions.

Roni Khardon

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

1997

Learning to reason.

Roni Khardon, Dan Roth

J. ACM, 1997

Defaults and Relevance in Model-Based Reasoning.

Roni Khardon, Dan Roth

Artif. Intell., 1997

Data mining, Hypergraph Transversals, and Machine Learning.

Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen

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

1996

Partitioning and Scheduling to Counteract Overhead.

Roni Khardon, Shlomit S. Pinter

Parallel Comput., 1996

Reasoning with Models.

Roni Khardon, Dan Roth

Artif. Intell., 1996

1995

Translating between Horn Representations and their Characteristic Models.

Roni Khardon

J. Artif. Intell. Res., 1995

Default-Reasoning with Models.

Roni Khardon, Dan Roth

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

1994

On Using the Fourier Transform to Learn Disjoint DNF.

Roni Khardon

Inf. Process. Lett., 1994

On Learning Read-<i>k</i>-Satisfy-<i>j</i> DNF.

Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth

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