Khardon, Roni

58 publications

NeurIPS 2025 Improving Planning and MBRL with Temporally-Extended Actions Palash Chatterjee, Roni Khardon

COLT 2025 Learning DNF Through Generalized Fourier Representations Mohsen Heidari, Roni Khardon

MLJ 2024 Explainable Models via Compression of Tree Ensembles Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli

TMLR 2024 Variational Inference on the Final-Layer Output of Neural Networks Yadi Wei, Roni Khardon

IJCAI 2023 DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon

PGM 2022 Approximate Inference for Stochastic Planning in Factored Spaces Zhennan Wu, Roni Khardon

NeurIPSW 2022 On the Performance of Direct Loss Minimization for Bayesian Neural Networks Yadi Wei, Roni Khardon

AISTATS 2021 Direct Loss Minimization for Sparse Gaussian Processes Yadi Wei, Rishit Sheth, Roni Khardon

NeurIPS 2019 Sampling Networks and Aggregate Simulation for Online POMDP Planning Hao Cui, Roni Khardon

NeurIPS 2018 From Stochastic Planning to Marginal MAP Hao Cui, Radu Marinescu, Roni Khardon

NeurIPS 2017 Excess Risk Bounds for the Bayes Risk Using Variational Inference in Latent Gaussian Models Rishit Sheth, Roni Khardon

AAAI 2017 Hindsight Optimization for Hybrid State and Action MDPs Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

AISTATS 2016 A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models Rishit Sheth, Roni Khardon

IJCAI 2016 Online Symbolic Gradient-Based Optimization for Factored Action MDPs Hao Cui, Roni Khardon

AAAI 2015 Factored MCTS for Large Scale Stochastic Planning Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli

UAI 2015 Memory-Effcient Symbolic Online Planning for Factored MDPs Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern

ICML 2015 Sparse Variational Inference for Generalized GP Models Rishit Sheth, Yuyang Wang, Roni Khardon

AAAI 2014 The Complexity of Reasoning with FODD and GFODD Benjamin J. Hescott, Roni Khardon

ECML-PKDD 2013 Solving Relational MDPs with Exogenous Events and Additive Rewards Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern

NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli

COLT 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones

AAAI 2012 Planning in Factored Action Spaces with Symbolic Dynamic Programming Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon

ECML-PKDD 2012 Sparse Gaussian Processes for Multi-Task Learning Yuyang Wang, Roni Khardon

JAIR 2011 Probabilistic Relational Planning with First Order Decision Diagrams Saket Joshi, Roni Khardon

MLJ 2011 The First Learning Track of the International Planning Competition Alan Fern, Roni Khardon, Prasad Tadepalli

AAAI 2010 Relational Partially Observable MDPs Chenggang Wang, Roni Khardon

ECML-PKDD 2010 Shift-Invariant Grouped Multi-Task Learning for Gaussian Processes Yuyang Wang, Roni Khardon, Pavlos Protopapas

IJCAI 2009 Generalized First Order Decision Diagrams for First Order Markov Decision Processes Saket Joshi, Kristian Kersting, Roni Khardon

ECML-PKDD 2009 Kernels for Periodic Time Series Arising in Astronomy Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock

JAIR 2008 First Order Decision Diagrams for Relational MDPs Chenggang Wang, Saket Joshi, Roni Khardon

IJCAI 2007 First Order Decision Diagrams for Relational MDPs Chenggang Wang, Saket Joshi, Roni Khardon

JMLR 2007 Learning Horn Expressions with LOGAN-H Marta Arias, Roni Khardon, Jérôme Maloberti

ICML 2007 Learning from Interpretations: A Rooted Kernel for Ordered Hypergraphs Gabriel Wachman, Roni Khardon

JMLR 2007 Noise Tolerant Variants of the Perceptron Algorithm Roni Khardon, Gabriel Wachman

IJCAI 2007 On Mining Closed Sets in Multi-Relational Data Gemma C. Garriga, Roni Khardon, Luc De Raedt

UAI 2007 Policy Iteration for Relational MDPs Chenggang Wang, Roni Khardon

MLJ 2006 Complexity Parameters for First Order Classes Marta Arias, Roni Khardon

JAIR 2005 Efficiency Versus Convergence of Boolean Kernels for On-Line Learning Algorithms Roni Khardon, Dan Roth, Rocco A. Servedio

JMLR 2005 Maximum Margin Algorithms with Boolean Kernels Roni Khardon, Rocco A. Servedio

ALT 2004 The Subsumption Lattice and Query Learning Marta Arias, Roni Khardon

COLT 2003 Maximum Margin Algorithms with Boolean Kernels Roni Khardon, Rocco A. Servedio

COLT 2003 Polynomial Certificates for Propositional Classes Marta Arias, Roni Khardon, Rocco A. Servedio

ALT 2001 Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings Naoki Abe, Roni Khardon, Thomas Zeugmann

ALT 2001 Editors' Introduction Naoki Abe, Roni Khardon, Thomas Zeugmann

NeurIPS 2001 Efficiency Versus Convergence of Boolean Kernels for On-Line Learning Algorithms Roni Khardon, Dan Roth, Rocco A. Servedio

ICML 2000 Learning Horn Expressions with LogAn-H Roni Khardon

MLJ 1999 Learning Function-Free Horn Expressions Roni Khardon

MLJ 1999 Learning to Reason with a Restricted View Roni Khardon, Dan Roth

MLJ 1999 Learning to Take Actions Roni Khardon

IJCAI 1999 Relational Learning for NLP Using Linear Threshold Elements Roni Khardon, Dan Roth, Leslie G. Valiant

COLT 1998 Learning First Order Universal Horn Expressions Roni Khardon

AAAI 1996 Learning to Take Actions Roni Khardon

IJCAI 1995 Default-Reasoning with Models Roni Khardon, Dan Roth

COLT 1995 Learning to Reason with a Restricted View Roni Khardon, Dan Roth

JAIR 1995 Translating Between Horn Representations and Their Characteristic Models Roni Khardon

AAAI 1994 Learning to Reason Roni Khardon, Dan Roth

COLT 1994 On Learning Read-K-Satisfy-J DNF Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth

AAAI 1994 Reasoning with Models Roni Khardon, Dan Roth