Roni Khardon - RankMe

117 papers A* 33A 4B 6C 1Journal 56Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving planning and MBRL with temporally-extended actions. CoRR Palash Chatterjee, Roni Khardon
2025	A*	`conf`	Learning DNF through Generalized Fourier Representations. COLT Mohsen Heidari, Roni Khardon
2025	J	`jnl`	Learning DNF through Generalized Fourier Representations. CoRR Mohsen Heidari, Roni Khardon
2025	J	`jnl`	Stability-based Generalization Bounds for Variational Inference. CoRR Yadi Wei, Roni Khardon
2024	J	`jnl`	Adaptive Robotic Information Gathering via non-stationary Gaussian processes. Int. J. Robotics Res. Weizhe Chen, Roni Khardon, Lantao Liu
2024	J	`jnl`	Explainable models via compression of tree ensembles. Mach. Learn. Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
2024	—	`conf`	POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. Robotics: Science and Systems Weizhe Chen, Lantao Liu, Roni Khardon
2024	J	`jnl`	POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. CoRR Weizhe Chen, Lantao Liu, Roni Khardon
2024	J	`jnl`	Variational Inference on the Final-Layer Output of Neural Networks. Trans. Mach. Learn. Res. Yadi Wei, Roni Khardon
2023	J	`jnl`	Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. CoRR Weizhe Chen, Roni Khardon, Lantao Liu
2023	A*	`conf`	DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. IJCAI Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon
2023	J	`jnl`	DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. CoRR Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon
2023	J	`jnl`	Direct Uncertainty Quantification. CoRR Yadi Wei, Roni Khardon
2022	—	`conf`	AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems Weizhe Chen, Roni Khardon, Lantao Liu
2022	J	`jnl`	AK: Attentive Kernel for Information Gathering. CoRR Weizhe Chen, Roni Khardon, Lantao Liu
2022	—	`conf`	Approximate Inference for Stochastic Planning in Factored Spaces. PGM Zhennan Wu, Roni Khardon
2022	J	`jnl`	Approximate Inference for Stochastic Planning in Factored Spaces. CoRR Zhennan Wu, Roni Khardon
2022	J	`jnl`	Explainable Models via Compression of Tree Ensembles. CoRR Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
2022	J	`jnl`	On the Performance of Direct Loss Minimization for Bayesian Neural Networks. CoRR Yadi Wei, Roni Khardon
2021	A	`conf`	Direct Loss Minimization for Sparse Gaussian Processes. AISTATS Yadi Wei, Rishit Sheth, Roni Khardon
2020	J	`jnl`	Direct loss minimization for sparse Gaussian processes. CoRR Yadi Wei, Rishit Sheth, Roni Khardon
2019	—	`conf`	Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. AABI Rishit Sheth, Roni Khardon
2019	A*	`conf`	Sampling Networks and Aggregate Simulation for Online POMDP Planning. NeurIPS Hao Cui, Roni Khardon
2019	A*	`conf`	Stochastic Planning with Lifted Symbolic Trajectory Optimization. ICAPS Hao Cui, Thomas Keller, Roni Khardon
2018	A*	`conf`	From Stochastic Planning to Marginal MAP. NeurIPS Hao Cui, Radu Marinescu, Roni Khardon
2018	—	`conf`	Lifted Stochastic Planning, Belief Propagation and Marginal MAP. AAAI Workshops Hao Cui, Roni Khardon
2018	J	`jnl`	Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 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, K. Brent Venable, Neal Wagner, Anna Zamansky
2017	—	`conf`	Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. NIPS Rishit Sheth, Roni Khardon
2017	A*	`conf`	Hindsight Optimization for Hybrid State and Action MDPs. AAAI Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern
2017	J	`jnl`	Stochastic Planning and Lifted Inference. CoRR Roni Khardon, Scott Sanner
2016	A	`conf`	A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models. AISTATS Rishit Sheth, Roni Khardon
2016	A*	`conf`	Online Symbolic Gradient-Based Optimization for Factored Action MDPs. IJCAI Hao Cui, Roni Khardon
2015	A*	`conf`	Factored MCTS for Large Scale Stochastic Planning. AAAI Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli
2015	A*	`conf`	Hindsight Optimization for Probabilistic Planning with Factored Actions. ICAPS Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue
2015	A	`conf`	Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern
2015	A*	`conf`	Sparse Variational Inference for Generalized GP Models. ICML Rishit Sheth, Yuyang Wang, Roni Khardon
2015	J	`jnl`	The complexity of reasoning with FODD and GFODD. Artif. Intell. Benjamin J. Hescott, Roni Khardon
2014	J	`jnl`	Probabilistic Relational Planning with First Order Decision Diagrams. CoRR Saket Joshi, Roni Khardon
2014	A*	`conf`	The Complexity of Reasoning with FODD and GFODD. AAAI Benjamin J. Hescott, Roni Khardon
2014	J	`jnl`	The Complexity of Reasoning with FODD and GFODD. CoRR Benjamin J. Hescott, Roni Khardon
2013	J	`jnl`	Mining closed patterns in relational, graph and network data. Ann. Math. Artif. Intell. Gemma C. Garriga, Roni Khardon, Luc De Raedt
2013	J	`jnl`	Online Learning with Pairwise Loss Functions CoRR Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones
2013	—	`conf`	Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan
2013	—	`conf`	Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	J	`jnl`	Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	—	`conf`	Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli
2012	C	`conf`	A discriminative-generative approach to the characterization of subsurface contaminant source zones. IGARSS Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller
2012	—	`conf`	A mixture of experts based discretization approach for characterizing subsurface contaminant source zones. SSP Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller
2012	A*	`conf`	Abstract planning for reactive robots. ICRA Saket Joshi, Paul W. Schermerhorn, Roni Khardon, Matthias Scheutz
2012	A*	`conf`	Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions. COLT Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones
2012	J	`jnl`	Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes CoRR Yuyang Wang, Roni Khardon, Pavlos Protopapas
2012	J	`jnl`	Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach CoRR Yuyang Wang, Roni Khardon
2012	A*	`conf`	Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon
2012	J	`jnl`	Policy Iteration for Relational MDPs CoRR Chenggang Wang, Roni Khardon
2012	—	`conf`	Sparse Gaussian Processes for Multi-task Learning. ECML/PKDD (1) Yuyang Wang, Roni Khardon
2011	J	`jnl`	Decision-theoretic planning with generalized first-order decision diagrams. Artif. Intell. Saket Joshi, Kristian Kersting, Roni Khardon
2011	J	`jnl`	Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms CoRR Roni Khardon, Dan Roth, Rocco A. Servedio
2011	J	`jnl`	First Order Decision Diagrams for Relational MDPs CoRR Chenggang Wang, Saket Joshi, Roni Khardon
2011	J	`jnl`	Nonparametric Bayesian Estimation of Periodic Functions CoRR Yuyang Wang, Roni Khardon, Pavlos Protopapas
2011	J	`jnl`	Probabilistic Relational Planning with First Order Decision Diagrams. J. Artif. Intell. Res. Saket Joshi, Roni Khardon
2011	J	`jnl`	The first learning track of the international planning competition. Mach. Learn. Alan Fern, Roni Khardon, Prasad Tadepalli
2010	A*	`conf`	Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface. KDD Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl
2010	A*	`conf`	Relational Partially Observable MDPs. AAAI Chenggang Wang, Roni Khardon
2010	A*	`conf`	Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS Saket Joshi, Kristian Kersting, Roni Khardon
2010	—	`conf`	Shift-Invariant Grouped Multi-task Learning for Gaussian Processes. ECML/PKDD (3) Yuyang Wang, Roni Khardon, Pavlos Protopapas
2010	—	`conf`	Stochastic Planning and Lifted Inference. StarAI@AAAI Roni Khardon
2009	A*	`conf`	Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI Saket Joshi, Kristian Kersting, Roni Khardon
2009	—	`conf`	Kernels for Periodic Time Series Arising in Astronomy. ECML/PKDD (2) Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock
2008	J	`jnl`	First Order Decision Diagrams for Relational MDPs. J. Artif. Intell. Res. Chenggang Wang, Saket Joshi, Roni Khardon
2008	A*	`conf`	Stochastic Planning with First Order Decision Diagrams. ICAPS Saket Joshi, Roni Khardon
2007	A*	`conf`	First Order Decision Diagrams for Relational MDPs. IJCAI Chenggang Wang, Saket Joshi, Roni Khardon
2007	J	`jnl`	Learning Horn Expressions with LOGAN-H. J. Mach. Learn. Res. Marta Arias, Roni Khardon, Jérôme Maloberti
2007	A*	`conf`	Learning from interpretations: a rooted kernel for ordered hypergraphs. ICML Gabriel Wachman, Roni Khardon
2007	J	`jnl`	Noise Tolerant Variants of the Perceptron Algorithm. J. Mach. Learn. Res. Roni Khardon, Gabriel Wachman
2007	A*	`conf`	On Mining Closed Sets in Multi-Relational Data. IJCAI Gemma C. Garriga, Roni Khardon, Luc De Raedt
2007	A	`conf`	Policy Iteration for Relational MDPs. UAI Chenggang Wang, Roni Khardon
2006	J	`jnl`	Complexity parameters for first order classes. Mach. Learn. Marta Arias, Roni Khardon
2006	J	`jnl`	Polynomial certificates for propositional classes. Inf. Comput. Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio
2006	J	`jnl`	The subsumption lattice and query learning. J. Comput. Syst. Sci. Roni Khardon, Marta Arias
2005	J	`jnl`	Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. J. Artif. Intell. Res. Roni Khardon, Dan Roth, Rocco A. Servedio
2005	J	`jnl`	Maximum Margin Algorithms with Boolean Kernels. J. Mach. Learn. Res. Roni Khardon, Rocco A. Servedio
2004	B	`conf`	Bottom-Up ILP Using Large Refinement Steps. ILP Marta Arias, Roni Khardon
2004	J	`jnl`	Foreword. Theor. Comput. Sci. Naoki Abe, Roni Khardon
2004	B	`conf`	The Subsumption Lattice and Query Learning. ALT Marta Arias, Roni Khardon
2003	B	`conf`	Complexity Parameters for First-Order Classes. ILP Marta Arias, Roni Khardon
2003	J	`jnl`	Discovering all most specific sentences. ACM Trans. Database Syst. Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm
2003	A*	`conf`	Maximum Margin Algorithms with Boolean Kernels. COLT Roni Khardon, Rocco A. Servedio
2003	A*	`conf`	Polynomial Certificates for Propositional Classes. COLT Marta Arias, Roni Khardon, Rocco A. Servedio
2002	J	`jnl`	Learning Closed Horn Expressions. Inf. Comput. Marta Arias, Roni Khardon
2001	B	`ed.`	Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings ALT Naoki Abe, Roni Khardon, Thomas Zeugmann
2001	B	`conf`	Editors' Introduction. ALT Naoki Abe, Roni Khardon, Thomas Zeugmann
2001	—	`conf`	Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. NIPS Roni Khardon, Dan Roth, Rocco A. Servedio
2000	B	`conf`	A New Algorithm for Learning Range Restricted Horn Expressions. ILP Marta Arias, Roni Khardon
2000	A*	`conf`	Learning Horn Expressions with LogAn-H. ICML Roni Khardon
1999	J	`jnl`	Learning Action Strategies for Planning Domains. Artif. Intell. Roni Khardon
1999	J	`jnl`	Learning Function-Free Horn Expressions. Mach. Learn. Roni Khardon
1999	—	`conf`	Learning Range Restricted Horn Expressions. EuroCOLT Roni Khardon
1999	J	`jnl`	Learning to Reason with a Restricted View. Mach. Learn. Roni Khardon, Dan Roth
1999	J	`jnl`	Learning to Take Actions. Mach. Learn. Roni Khardon
1999	J	`jnl`	Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Informatica Roni Khardon, Heikki Mannila, Dan Roth
1999	A*	`conf`	Relational Learning for NLP using Linear Threshold Elements. IJCAI Roni Khardon, Dan Roth, Leslie G. Valiant
1998	A*	`conf`	Learning First Order Universal Horn Expressions. COLT Roni Khardon
1998	J	`jnl`	On Learning Read-k-Satisfy-j DNF. SIAM J. Comput. Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
1997	A*	`conf`	Data mining, Hypergraph Transversals, and Machine Learning. PODS Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen
1997	J	`jnl`	Defaults and Relevance in Model-Based Reasoning. Artif. Intell. Roni Khardon, Dan Roth
1997	J	`jnl`	Learning to reason. J. ACM Roni Khardon, Dan Roth
1996	—	`conf`	Learning to Take Actions. AAAI/IAAI, Vol. 1 Roni Khardon
1996	J	`jnl`	Partitioning and Scheduling to Counteract Overhead. Parallel Comput. Roni Khardon, Shlomit S. Pinter
1996	J	`jnl`	Reasoning with Models. Artif. Intell. Roni Khardon, Dan Roth
1995	A*	`conf`	Default-Reasoning with Models. IJCAI Roni Khardon, Dan Roth
1995	A*	`conf`	Learning to Reason with a Restricted View. COLT Roni Khardon, Dan Roth
1995	J	`jnl`	Translating between Horn Representations and their Characteristic Models. CoRR Roni Khardon
1995	J	`jnl`	Translating between Horn Representations and their Characteristic Models. J. Artif. Intell. Res. Roni Khardon
1994	A*	`conf`	Learning to Reason. AAAI Roni Khardon, Dan Roth
1994	A*	`conf`	On Learning Read- COLT Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
1994	J	`jnl`	On Using the Fourier Transform to Learn Disjoint DNF. Inf. Process. Lett. Roni Khardon
1994	A*	`conf`	Reasoning with Models. AAAI Roni Khardon, Dan Roth