On Learning Read-k-Satisfy-j DNF. - Avrim Blum; Roni Khardon; Eyal Kushilevitz; Leonard Pitt; Dan Roth 001 (COLT, 1994)

On Using the Fourier Transform to Learn Disjoint DNF. - Roni Khardon (Inf. Process. Lett., 1994)

Default-Reasoning with Models. - Roni Khardon; Dan Roth 001 (IJCAI, 1995)

Translating between Horn Representations and their Characteristic Models. - Roni Khardon (J. Artif. Intell. Res., 1995)

Reasoning with Models. - Roni Khardon; Dan Roth 001 (Artif. Intell., 1996)

Partitioning and Scheduling to Counteract Overhead. - Roni Khardon; Shlomit S. Pinter (Parallel Comput., 1996)

Data mining, Hypergraph Transversals, and Machine Learning. - Dimitrios Gunopulos; Roni Khardon; Heikki Mannila; Hannu Toivonen (PODS, 1997)

Defaults and Relevance in Model-Based Reasoning. - Roni Khardon; Dan Roth 001 (Artif. Intell., 1997)

Learning to reason. - Roni Khardon; Dan Roth 001 (J. ACM, 1997)

Learning First Order Universal Horn Expressions. - Roni Khardon (COLT, 1998)

On Learning Read-k-Satisfy-j DNF. - Howard Aizenstein; Avrim Blum; Roni Khardon; Eyal Kushilevitz; Leonard Pitt; Dan Roth 001 (SIAM J. Comput., 1998)

Learning Range Restricted Horn Expressions. - Roni Khardon (EuroCOLT, 1999)

Relational Learning for NLP using Linear Threshold Elements. - Roni Khardon; Dan Roth 001; Leslie G. Valiant (IJCAI, 1999)

Reasoning with Examples: Propositional Formulae and Database Dependencies. - Roni Khardon; Heikki Mannila; Dan Roth 001 (Acta Informatica, 1999)

Learning Action Strategies for Planning Domains. - Roni Khardon (Artif. Intell., 1999)

Learning to Take Actions. - Roni Khardon (Mach. Learn., 1999)

Learning Function-Free Horn Expressions. - Roni Khardon (Mach. Learn., 1999)

Learning to Reason with a Restricted View. - Roni Khardon; Dan Roth 001 (Mach. Learn., 1999)

Learning Horn Expressions with LogAn-H. - Roni Khardon (ICML, 2000)

A New Algorithm for Learning Range Restricted Horn Expressions. - Marta Arias; Roni Khardon (ILP, 2000)

Editors' Introduction. - Naoki Abe; Roni Khardon; Thomas Zeugmann (ALT, 2001)

Learning Closed Horn Expressions. - Marta Arias; Roni Khardon (Inf. Comput., 2002)

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

Discovering all most specific sentences. - Dimitrios Gunopulos; Roni Khardon; Heikki Mannila; Sanjeev Saluja; Hannu Toivonen; Ram Sewak Sharm (ACM Trans. Database Syst., 2003)

Bottom-Up ILP Using Large Refinement Steps. - Marta Arias; Roni Khardon (ILP, 2004)

Foreword. - Naoki Abe; Roni Khardon (Theor. Comput. Sci., 2004)

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. - Roni Khardon; Dan Roth 001; Rocco A. Servedio (J. Artif. Intell. Res., 2005)

Maximum Margin Algorithms with Boolean Kernels. - Roni Khardon; Rocco A. Servedio (J. Mach. Learn. Res., 2005)

Polynomial certificates for propositional classes. - Marta Arias; Aaron Feigelson; Roni Khardon; Rocco A. Servedio (Inf. Comput., 2006)

The subsumption lattice and query learning. - Roni Khardon; Marta Arias (J. Comput. Syst. Sci., 2006)

Complexity parameters for first order classes. - Marta Arias; Roni Khardon (Mach. Learn., 2006)

Learning from interpretations: a rooted kernel for ordered hypergraphs. - Gabriel Wachman; Roni Khardon (ICML, 2007)

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

Policy Iteration for Relational MDPs. - Chenggang Wang; Roni Khardon (UAI, 2007)

Learning Horn Expressions with LOGAN-H. - Marta Arias; Roni Khardon; Jérôme Maloberti (J. Mach. Learn. Res., 2007)

Noise Tolerant Variants of the Perceptron Algorithm. - Roni Khardon; Gabriel Wachman (J. Mach. Learn. Res., 2007)

Stochastic Planning with First Order Decision Diagrams. - Saket Joshi; Roni Khardon (ICAPS, 2008)

First Order Decision Diagrams for Relational MDPs. - Chenggang Wang; Saket Joshi; Roni Khardon (J. Artif. Intell. Res., 2008)

Generalized First Order Decision Diagrams for First Order Markov Decision Processes. - Saket Joshi; Kristian Kersting; Roni Khardon (IJCAI, 2009)

Kernels for Periodic Time Series Arising in Astronomy. - Gabriel Wachman; Roni Khardon; Pavlos Protopapas; Charles R. Alcock (ECML/PKDD (2), 2009)

Stochastic Planning and Lifted Inference. - Roni Khardon (StarAI@AAAI, 2010)

Relational Partially Observable MDPs. - Chenggang Wang; Roni Khardon (AAAI, 2010)

Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. - Saket Joshi; Kristian Kersting; Roni Khardon (ICAPS, 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 (KDD, 2010)

Shift-Invariant Grouped Multi-task Learning for Gaussian Processes. - Yuyang Wang; Roni Khardon; Pavlos Protopapas (ECML/PKDD (3), 2010)

Decision-theoretic planning with generalized first-order decision diagrams. - Saket Joshi; Kristian Kersting; Roni Khardon (Artif. Intell., 2011)

Nonparametric Bayesian Estimation of Periodic Functions - Yuyang Wang; Roni Khardon; Pavlos Protopapas (CoRR, 2011)

Probabilistic Relational Planning with First Order Decision Diagrams. - Saket Joshi; Roni Khardon (J. Artif. Intell. Res., 2011)

The first learning track of the international planning competition. - Alan Fern; Roni Khardon; Prasad Tadepalli (Mach. Learn., 2011)

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

Abstract planning for reactive robots. - Saket Joshi; Paul W. Schermerhorn; Roni Khardon; Matthias Scheutz (ICRA, 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 001 (IGARSS, 2012)

Sparse Gaussian Processes for Multi-task Learning. - Yuyang Wang; Roni Khardon (ECML/PKDD (1), 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 001 (SSP, 2012)

Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes - Yuyang Wang; Roni Khardon; Pavlos Protopapas (CoRR, 2012)

Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach - Yuyang Wang; Roni Khardon (CoRR, 2012)

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

Relational Markov Decision Processes: Promise and Prospects. - Saket Joshi; Roni Khardon; Prasad Tadepalli; Alan Fern; Aswin Raghavan (StarAI@AAAI, 2013)

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. - Aswin Raghavan; Roni Khardon; Alan Fern; Prasad Tadepalli (NIPS, 2013)

Solving Relational MDPs with Exogenous Events and Additive Rewards. - Saket Joshi; Roni Khardon; Prasad Tadepalli; Aswin Raghavan; Alan Fern (ECML/PKDD (1), 2013)

Mining closed patterns in relational, graph and network data. - Gemma C. Garriga; Roni Khardon; Luc De Raedt (Ann. Math. Artif. Intell., 2013)

Online Learning with Pairwise Loss Functions - Yuyang Wang; Roni Khardon; Dmitry Pechyony; Rosie Jones (CoRR, 2013)

Factored MCTS for Large Scale Stochastic Planning. - Hao Cui 003; Roni Khardon; Alan Fern; Prasad Tadepalli (AAAI, 2015)

Hindsight Optimization for Probabilistic Planning with Factored Actions. - Murugeswari Issakkimuthu; Alan Fern; Roni Khardon; Prasad Tadepalli; Shan Xue (ICAPS, 2015)

Sparse Variational Inference for Generalized GP Models. - Rishit Sheth; Yuyang Wang; Roni Khardon (ICML, 2015)

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

The complexity of reasoning with FODD and GFODD. - Benjamin J. Hescott; Roni Khardon (Artif. Intell., 2015)

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

Online Symbolic Gradient-Based Optimization for Factored Action MDPs. - Hao Cui 003; Roni Khardon (IJCAI, 2016)

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

Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. - Rishit Sheth; Roni Khardon (NIPS, 2017)

Stochastic Planning and Lifted Inference. - Roni Khardon; Scott Sanner (CoRR, 2017)

Lifted Stochastic Planning, Belief Propagation and Marginal MAP. - Hao Cui 003; Roni Khardon (AAAI Workshops, 2018)

From Stochastic Planning to Marginal MAP. - Hao Cui 003; Radu Marinescu 002; Roni Khardon (NeurIPS, 2018)

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. - Bruno Bouchard 001; Kevin Bouchard; Noam Brown; Niyati Chhaya; Eitan Farchi; Sébastien Gaboury; Christopher W. Geib; Amelie Gyrard; Kokil Jaidka; Sarah Keren; Roni Khardon; Parisa Kordjamshidi; et al. (AI Mag., 2018)

Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. - Rishit Sheth; Roni Khardon (AABI, 2019)

Stochastic Planning with Lifted Symbolic Trajectory Optimization. - Hao Cui 003; Thomas Keller 001; Roni Khardon (ICAPS, 2019)

Sampling Networks and Aggregate Simulation for Online POMDP Planning. - Hao Cui 003; Roni Khardon (NeurIPS, 2019)

Direct Loss Minimization for Sparse Gaussian Processes. - Yadi Wei; Rishit Sheth; Roni Khardon (AISTATS, 2021)

Approximate Inference for Stochastic Planning in Factored Spaces. - Zhennan Wu; Roni Khardon (PGM, 2022)

AK: Attentive Kernel for Information Gathering. - Weizhe Chen 004; Roni Khardon; Lantao Liu (Robotics: Science and Systems, 2022)

On the Performance of Direct Loss Minimization for Bayesian Neural Networks. - Yadi Wei; Roni Khardon (CoRR, 2022)

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. - Palash Chatterjee; Ashutosh Chapagain; Weizhe Chen 004; Roni Khardon (IJCAI, 2023)

Direct Uncertainty Quantification. - Yadi Wei; Roni Khardon (CoRR, 2023)

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. - Weizhe Chen 004; Lantao Liu; Roni Khardon (Robotics: Science and Systems, 2024)

Adaptive Robotic Information Gathering via non-stationary Gaussian processes. - Weizhe Chen 004; Roni Khardon; Lantao Liu (Int. J. Robotics Res., 2024)

Explainable models via compression of tree ensembles. - Siwen Yan; Sriraam Natarajan; Saket Joshi; Roni Khardon; Prasad Tadepalli (Mach. Learn., 2024)

Variational Inference on the Final-Layer Output of Neural Networks. - Yadi Wei; Roni Khardon (Trans. Mach. Learn. Res., 2024)

Learning DNF through Generalized Fourier Representations. - Mohsen Heidari; Roni Khardon (COLT, 2025)

Stability-based Generalization Bounds for Variational Inference. - Yadi Wei; Roni Khardon (CoRR, 2025)

Improving planning and MBRL with temporally-extended actions. - Palash Chatterjee; Roni Khardon (CoRR, 2025)