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ORCIDRoni Khardon
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- affiliation: Tufts University
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2020 – today
- 2024
[j31]Weizhe Chen
, Roni Khardon, Lantao Liu:
Adaptive Robotic Information Gathering via non-stationary Gaussian processes. Int. J. Robotics Res. 43(4): 405-436 (2024)- [j30]Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli:
Explainable models via compression of tree ensembles. Mach. Learn. 113(3): 1303-1328 (2024) - [i21]Weizhe Chen, Lantao Liu, Roni Khardon:
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. CoRR abs/2406.03669 (2024) - 2023
- [c58]Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon:
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. IJCAI 2023: 5324-5332 - [i20]Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon:
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. CoRR abs/2302.01491 (2023) - [i19]Yadi Wei, Roni Khardon:
Direct Uncertainty Quantification. CoRR abs/2302.02420 (2023) - [i18]Weizhe Chen, Roni Khardon, Lantao Liu:
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. CoRR abs/2306.01263 (2023) - 2022
- [c57]Zhennan Wu, Roni Khardon:
Approximate Inference for Stochastic Planning in Factored Spaces. PGM 2022: 433-444 - [c56]Weizhe Chen, Roni Khardon, Lantao Liu:
AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems 2022 - [i17]Zhennan Wu, Roni Khardon:
Approximate Inference for Stochastic Planning in Factored Spaces. CoRR abs/2203.12139 (2022) - [i16]Weizhe Chen, Roni Khardon, Lantao Liu:
AK: Attentive Kernel for Information Gathering. CoRR abs/2205.06426 (2022) - [i15]Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli:
Explainable Models via Compression of Tree Ensembles. CoRR abs/2206.07904 (2022) - [i14]Yadi Wei, Roni Khardon:
On the Performance of Direct Loss Minimization for Bayesian Neural Networks. CoRR abs/2211.08393 (2022) - 2021
- [c55]Yadi Wei, Rishit Sheth, Roni Khardon:
Direct Loss Minimization for Sparse Gaussian Processes. AISTATS 2021: 2566-2574 - 2020
- [i13]Yadi Wei, Rishit Sheth, Roni Khardon:
Direct loss minimization for sparse Gaussian processes. CoRR abs/2004.03083 (2020)
2010 – 2019
- 2019
- [c54]Rishit Sheth, Roni Khardon:
Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. AABI 2019: 1-18 - [c53]Hao Cui, Thomas Keller, Roni Khardon:
Stochastic Planning with Lifted Symbolic Trajectory Optimization. ICAPS 2019: 119-127 - [c52]Hao Cui, Roni Khardon:
Sampling Networks and Aggregate Simulation for Online POMDP Planning. NeurIPS 2019: 9218-9228 - 2018
- [j29]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:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [c51]Hao Cui, Roni Khardon:
Lifted Stochastic Planning, Belief Propagation and Marginal MAP. AAAI Workshops 2018: 658-664 - [c50]Hao Cui, Radu Marinescu, Roni Khardon:
From Stochastic Planning to Marginal MAP. NeurIPS 2018: 3085-3095 - 2017
- [c49]Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
Hindsight Optimization for Hybrid State and Action MDPs. AAAI 2017: 3790-3796 - [c48]Rishit Sheth, Roni Khardon:
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. NIPS 2017: 5151-5161 - [i12]Roni Khardon, Scott Sanner:
Stochastic Planning and Lifted Inference. CoRR abs/1701.01048 (2017) - 2016
- [c47]Rishit Sheth, Roni Khardon:
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models. AISTATS 2016: 761-769 - [c46]Hao Cui, Roni Khardon:
Online Symbolic Gradient-Based Optimization for Factored Action MDPs. IJCAI 2016: 3075-3081 - 2015
- [j28]Benjamin J. Hescott, Roni Khardon:
The complexity of reasoning with FODD and GFODD. Artif. Intell. 229: 1-32 (2015) - [c45]Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli:
Factored MCTS for Large Scale Stochastic Planning. AAAI 2015: 3261-3267 - [c44]Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue:
Hindsight Optimization for Probabilistic Planning with Factored Actions. ICAPS 2015: 120-128 - [c43]Rishit Sheth, Yuyang Wang, Roni Khardon:
Sparse Variational Inference for Generalized GP Models. ICML 2015: 1302-1311 - [c42]Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern:
Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI 2015: 732-741 - 2014
- [c41]Benjamin J. Hescott, Roni Khardon:
The Complexity of Reasoning with FODD and GFODD. AAAI 2014: 1056-1062 - [i11]Saket Joshi, Roni Khardon:
Probabilistic Relational Planning with First Order Decision Diagrams. CoRR abs/1401.3882 (2014) - [i10]Benjamin J. Hescott, Roni Khardon:
The Complexity of Reasoning with FODD and GFODD. CoRR abs/1407.1408 (2014) - 2013
- [j27]Gemma C. Garriga, Roni Khardon, Luc De Raedt:
Mining closed patterns in relational, graph and network data. Ann. Math. Artif. Intell. 69(4): 315-342 (2013) - [c40]Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan:
Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI 2013 - [c39]Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli:
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS 2013: 2499-2507 - [c38]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) 2013: 178-193 - [i9]Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones:
Online Learning with Pairwise Loss Functions. CoRR abs/1301.5332 (2013) - [i8]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR abs/1306.6302 (2013) - 2012
- [c37]Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon:
Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI 2012: 1802-1808 - [c36]Saket Joshi, Paul W. Schermerhorn, Roni Khardon, Matthias Scheutz:
Abstract planning for reactive robots. ICRA 2012: 4379-4384 - [c35]Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller:
A discriminative-generative approach to the characterization of subsurface contaminant source zones. IGARSS 2012: 614-617 - [c34]Yuyang Wang, Roni Khardon:
Sparse Gaussian Processes for Multi-task Learning. ECML/PKDD (1) 2012: 711-727 - [c33]Bilal Ahmed, Itza Mendoza-Sanchez, Roni Khardon, Linda M. Abriola, Eric L. Miller:
A mixture of experts based discretization approach for characterizing subsurface contaminant source zones. SSP 2012: 17-20 - [c32]Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones:
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions. COLT 2012: 13.1-13.22 - [i7]Yuyang Wang, Roni Khardon, Pavlos Protopapas:
Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes. CoRR abs/1203.0970 (2012) - [i6]Chenggang Wang, Roni Khardon:
Policy Iteration for Relational MDPs. CoRR abs/1206.5287 (2012) - [i5]Yuyang Wang, Roni Khardon:
Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach. CoRR abs/1211.6653 (2012) - 2011
- [j26]Saket Joshi, Kristian Kersting, Roni Khardon:
Decision-theoretic planning with generalized first-order decision diagrams. Artif. Intell. 175(18): 2198-2222 (2011) - [j25]Saket Joshi, Roni Khardon:
Probabilistic Relational Planning with First Order Decision Diagrams. J. Artif. Intell. Res. 41: 231-266 (2011) - [j24]Alan Fern, Roni Khardon, Prasad Tadepalli:
The first learning track of the international planning competition. Mach. Learn. 84(1-2): 81-107 (2011) - [i4]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. CoRR abs/1109.2141 (2011) - [i3]Chenggang Wang, Saket Joshi, Roni Khardon:
First Order Decision Diagrams for Relational MDPs. CoRR abs/1111.0068 (2011) - [i2]Yuyang Wang, Roni Khardon, Pavlos Protopapas:
Nonparametric Bayesian Estimation of Periodic Functions. CoRR abs/1111.1315 (2011) - 2010
- [c31]Roni Khardon:
Stochastic Planning and Lifted Inference. StarAI@AAAI 2010 - [c30]Chenggang Wang, Roni Khardon:
Relational Partially Observable MDPs. AAAI 2010: 1153-1158 - [c29]Saket Joshi, Kristian Kersting, Roni Khardon:
Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS 2010: 89-96 - [c28]Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl:
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface. KDD 2010: 823-832 - [c27]Yuyang Wang, Roni Khardon, Pavlos Protopapas:
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes. ECML/PKDD (3) 2010: 418-434
2000 – 2009
- 2009
- [c26]Saket Joshi, Kristian Kersting, Roni Khardon:
Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI 2009: 1916-1921 - [c25]Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock:
Kernels for Periodic Time Series Arising in Astronomy. ECML/PKDD (2) 2009: 489-505 - 2008
- [j23]Chenggang Wang, Saket Joshi, Roni Khardon:
First Order Decision Diagrams for Relational MDPs. J. Artif. Intell. Res. 31: 431-472 (2008) - [c24]Saket Joshi, Roni Khardon:
Stochastic Planning with First Order Decision Diagrams. ICAPS 2008: 156-163 - 2007
- [j22]Roni Khardon, Gabriel Wachman:
Noise Tolerant Variants of the Perceptron Algorithm. J. Mach. Learn. Res. 8: 227-248 (2007) - [j21]Marta Arias, Roni Khardon, Jérôme Maloberti:
Learning Horn Expressions with LOGAN-H. J. Mach. Learn. Res. 8: 549-587 (2007) - [c23]Gabriel Wachman, Roni Khardon:
Learning from interpretations: a rooted kernel for ordered hypergraphs. ICML 2007: 943-950 - [c22]Gemma C. Garriga, Roni Khardon, Luc De Raedt:
On Mining Closed Sets in Multi-Relational Data. IJCAI 2007: 804-809 - [c21]Chenggang Wang, Saket Joshi, Roni Khardon:
First Order Decision Diagrams for Relational MDPs. IJCAI 2007: 1095-1100 - [c20]Chenggang Wang, Roni Khardon:
Policy Iteration for Relational MDPs. UAI 2007: 408-415 - 2006
- [j20]Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio:
Polynomial certificates for propositional classes. Inf. Comput. 204(5): 816-834 (2006) - [j19]Roni Khardon, Marta Arias:
The subsumption lattice and query learning. J. Comput. Syst. Sci. 72(1): 72-94 (2006) - [j18]Marta Arias, Roni Khardon:
Complexity parameters for first order classes. Mach. Learn. 64(1-3): 121-144 (2006) - 2005
- [j17]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. J. Artif. Intell. Res. 24: 341-356 (2005) - [j16]Roni Khardon, Rocco A. Servedio:
Maximum Margin Algorithms with Boolean Kernels. J. Mach. Learn. Res. 6: 1405-1429 (2005) - 2004
- [j15]Naoki Abe, Roni Khardon:
Foreword. Theor. Comput. Sci. 313(2): 173-174 (2004) - [c19]Marta Arias, Roni Khardon:
The Subsumption Lattice and Query Learning. ALT 2004: 410-424 - [c18]Marta Arias, Roni Khardon:
Bottom-Up ILP Using Large Refinement Steps. ILP 2004: 26-43 - 2003
- [j14]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm:
Discovering all most specific sentences. ACM Trans. Database Syst. 28(2): 140-174 (2003) - [c17]Roni Khardon, Rocco A. Servedio:
Maximum Margin Algorithms with Boolean Kernels. COLT 2003: 87-101 - [c16]Marta Arias, Roni Khardon, Rocco A. Servedio:
Polynomial Certificates for Propositional Classes. COLT 2003: 537-551 - [c15]Marta Arias, Roni Khardon:
Complexity Parameters for First-Order Classes. ILP 2003: 22-37 - 2002
- [j13]Marta Arias, Roni Khardon:
Learning Closed Horn Expressions. Inf. Comput. 178(1): 214-240 (2002) - 2001
- [c14]Naoki Abe, Roni Khardon, Thomas Zeugmann:
Editors' Introduction. ALT 2001: 1-8 - [c13]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. NIPS 2001: 423-430 - [e1]Naoki Abe, Roni Khardon, Thomas Zeugmann:
Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings. Lecture Notes in Computer Science 2225, Springer 2001, ISBN 3-540-42875-5 [contents] - 2000
- [c12]Roni Khardon:
Learning Horn Expressions with LogAn-H. ICML 2000: 471-478 - [c11]Marta Arias, Roni Khardon:
A New Algorithm for Learning Range Restricted Horn Expressions. ILP 2000: 21-39
1990 – 1999
- 1999
- [j12]Roni Khardon, Heikki Mannila, Dan Roth:
Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Informatica 36(4): 267-286 (1999) - [j11]Roni Khardon:
Learning Action Strategies for Planning Domains. Artif. Intell. 113(1-2): 125-148 (1999) - [j10]Roni Khardon:
Learning to Take Actions. Mach. Learn. 35(1): 57-90 (1999) - [j9]Roni Khardon, Dan Roth:
Learning to Reason with a Restricted View. Mach. Learn. 35(2): 95-116 (1999) - [j8]Roni Khardon:
Learning Function-Free Horn Expressions. Mach. Learn. 37(3): 241-275 (1999) - [c10]Roni Khardon:
Learning Range Restricted Horn Expressions. EuroCOLT 1999: 111-125 - [c9]Roni Khardon, Dan Roth, Leslie G. Valiant:
Relational Learning for NLP using Linear Threshold Elements. IJCAI 1999: 911-919 - 1998
- [j7]Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth:
On Learning Read-k-Satisfy-j DNF. SIAM J. Comput. 27(6): 1515-1530 (1998) - [c8]Roni Khardon:
Learning First Order Universal Horn Expressions. COLT 1998: 154-165 - 1997
- [j6]Roni Khardon, Dan Roth:
Defaults and Relevance in Model-Based Reasoning. Artif. Intell. 97(1-2): 169-193 (1997) - [j5]Roni Khardon, Dan Roth:
Learning to reason. J. ACM 44(5): 697-725 (1997) - [c7]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen:
Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997: 209-216 - 1996
- [j4]Roni Khardon, Dan Roth:
Reasoning with Models. Artif. Intell. 87(1-2): 187-213 (1996) - [j3]Roni Khardon, Shlomit S. Pinter:
Partitioning and Scheduling to Counteract Overhead. Parallel Comput. 22(4): 555-593 (1996) - [c6]Roni Khardon:
Learning to Take Actions. AAAI/IAAI, Vol. 1 1996: 787-792 - 1995
- [j2]Roni Khardon:
Translating between Horn Representations and their Characteristic Models. J. Artif. Intell. Res. 3: 349-372 (1995) - [c5]Roni Khardon, Dan Roth:
Learning to Reason with a Restricted View. COLT 1995: 301-310 - [c4]Roni Khardon, Dan Roth:
Default-Reasoning with Models. IJCAI 1995: 319-327 - [i1]Roni Khardon:
Translating between Horn Representations and their Characteristic Models. CoRR abs/cs/9512105 (1995) - 1994
- [j1]Roni Khardon:
On Using the Fourier Transform to Learn Disjoint DNF. Inf. Process. Lett. 49(5): 219-222 (1994) - [c3]Roni Khardon, Dan Roth:
Learning to Reason. AAAI 1994: 682-687 - [c2]Roni Khardon, Dan Roth:
Reasoning with Models. AAAI 1994: 1148-1153 - [c1]Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth:
On Learning Read-k-Satisfy-j DNF. COLT 1994: 110-117
Coauthor Index
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