Valuing Actions and Ranking Hockey Players With Machine Learning (Extended Abstract).

Oliver Schulte Simon Fraser University, Burnaby, Canada http://www.cs.sfu.ca/~oschulte/ https://openreview.net/profile?id=~Oliver_Schulte1 https://orcid.org/0000-0002-2805-4313 https://www.wikidata.org/entity/Q130921257 Oliver Schulte Valuing Actions and Ranking Hockey Players With Machine Learning (Extended Abstract). ISACE 2026 15-21 conf/isace/2026 https://doi.org/10.1007/978-3-032-27272-0_2 db/conf/isace/isace2026.html#Schulte26 streams/conf/isace

Sheng Xu Guiliang Liu Tarak Kharrat Yudong Luo Mohamed Aloulou Javier López Peña Konstantin Sofeikov Adam Reid Paul Roberts Steven Spencer Joe Carnall Ian G. McHale Oliver Schulte Hongyuan Zha Wei-Shi Zheng 0001 TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics. 2026 April abs/2604.18210 CoRR https://doi.org/10.48550/arXiv.2604.18210 db/journals/corr/corr2604.html#abs-2604-18210 streams/journals/corr

Oliver Schulte Pascal Poupart When Should Reinforcement Learning Use Causal Reasoning? 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=D1PPuk8ZBI db/journals/tmlr/tmlr2025.html#SchulteP25

Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte Deep Generative Models for Subgraph Prediction. 3128-3136 2024 ECAI https://doi.org/10.3233/FAIA240856 conf/ecai/2024 db/conf/ecai/ecai2024.html#MahmoudzadehNZS24

Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley 0001 Disentanglement in Implicit Causal Models via Switch Variable. 2024 abs/2402.11124 CoRR https://doi.org/10.48550/arXiv.2402.11124 db/journals/corr/corr2402.html#abs-2402-11124

Oliver Schulte Pascal Poupart Why Online Reinforcement Learning is Causal. 2024 abs/2403.04221 CoRR https://doi.org/10.48550/arXiv.2403.04221 db/journals/corr/corr2403.html#abs-2403-04221

Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte Deep Generative Models for Subgraph Prediction. 2024 abs/2408.04053 CoRR https://doi.org/10.48550/arXiv.2408.04053 db/journals/corr/corr2408.html#abs-2408-04053 streams/journals/corr

Jia Jun Cheng Xian Sadegh Mahdavi Renjie Liao 0001 Oliver Schulte From Graph Diffusion to Graph Classification. 2024 abs/2411.17236 CoRR https://doi.org/10.48550/arXiv.2411.17236 db/journals/corr/corr2411.html#abs-2411-17236 streams/journals/corr

Xiangyu Sun Oliver Schulte Guiliang Liu Pascal Poupart NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge. 1942-1964 2023 AISTATS https://proceedings.mlr.press/v206/sun23c.html conf/aistats/2023 db/conf/aistats/aistats2023.html#SunSLP23 Parmis Naddaf Erfaneh Mahmoudzaheh Ahmadi Nejad Kiarash Zahirnia Manfred Jaeger Oliver Schulte Joint Link Prediction Via Inference from a Model. 1877-1886 2023 CIKM https://doi.org/10.1145/3583780.3614941 https://www.wikidata.org/entity/Q130921258 conf/cikm/2023 db/conf/cikm/cikm2023.html#NaddafNZJS23 Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley 0001 Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. 31596-31612 2023 ICML https://proceedings.mlr.press/v202/shirahmad-gale-bagi23a.html conf/icml/2023 db/conf/icml/icml2023.html#BagiGS023 Manfred Jaeger Antonio Longa Steve Azzolin Oliver Schulte Andrea Passerini A Simple Latent Variable Model for Graph Learning and Inference. 26 2023 LoG https://proceedings.mlr.press/v231/jaeger24a.html conf/log/2023 db/conf/log/log2023.html#JaegerLASP23 Xiangyu Sun Oliver Schulte Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/11715d433f6f8b9106baae0df023deb3-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#SunS23 Kiarash Zahirnia Yaochen Hu 0001 Mark Coates Oliver Schulte Neural Graph Generation from Graph Statistics. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/72153267883fbcafdb6e4662382696c5-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#Zahirnia0CS23

Xiangyu Sun Oliver Schulte Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing. 2023 abs/2301.12930 CoRR https://doi.org/10.48550/arXiv.2301.12930 db/journals/corr/corr2301.html#abs-2301-12930

Oliver Schulte From Graph Generation to Graph Classification. 2023 abs/2302.07989 CoRR https://doi.org/10.48550/arXiv.2302.07989 db/journals/corr/corr2302.html#abs-2302-07989

Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley 0001 Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. 2023 abs/2302.08635 CoRR https://doi.org/10.48550/arXiv.2302.08635 db/journals/corr/corr2302.html#abs-2302-08635

Oliver Schulte Computing Expected Motif Counts for Exchangeable Graph Generative Models. 2023 abs/2305.01089 CoRR https://doi.org/10.48550/arXiv.2305.01089 db/journals/corr/corr2305.html#abs-2305-01089

Kiarash Zahirnia Oliver Schulte Ke Li 0011 Ankita Sakhuja Parmis Naddaf Deep Learning of Latent Edge Types from Relational Data. 2022 Canadian AI https://doi.org/10.21428/594757db.06b4cfb6 conf/ai/2022 db/conf/ai/ai2022.html#ZahirniaSLSN22 Yudong Luo Guiliang Liu Haonan Duan 0002 Oliver Schulte Pascal Poupart Distributional Reinforcement Learning with Monotonic Splines. 2022 ICLR https://openreview.net/forum?id=C8Ltz08PtBp conf/iclr/2022 db/conf/iclr/iclr2022.html#LuoLDSP22 Oliver Schulte Valuing Actions and Ranking Hockey Players With Machine Learning. 2-9 2022 LINHAC https://doi.org/10.3384/ecp191001 conf/linhac/2022 db/conf/linhac/linhac2022.html#Schulte22 Guiliang Liu Yudong Luo Oliver Schulte Pascal Poupart Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/7f6e51d8298aa01b084b700ab91aff94-Abstract-Conference.html db/conf/nips/neurips2022.html#LiuLSP22 Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 0011 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/c400474e8a36d0812fdee52739288b12-Abstract-Conference.html db/conf/nips/neurips2022.html#ZahirniaSNL22

Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 0011 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. 2022 abs/2210.16844 CoRR https://doi.org/10.48550/arXiv.2210.16844 db/journals/corr/corr2210.html#abs-2210-16844

Guiliang Liu Xiangyu Sun Oliver Schulte Pascal Poupart Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning. 19622-19636 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/a35fe7f7fe8217b4369a0af4244d1fca-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#LiuSSP21 Mohan Zhang Oliver Schulte Yudong Luo Leveraging Approximate Constraints for Localized Data Error Detection. 36-44 2021 aiDM@SIGMOD https://doi.org/10.1145/3464509.3464888 https://www.wikidata.org/entity/Q130959006 conf/sigmod/2021aidm db/conf/sigmod/aidm2021.html#ZhangSL21

Kiarash Zahirnia Ankita Sakhuja Oliver Schulte Parmis Nadaf Ke Li 0011 Xia Hu Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning. 2021 abs/2106.15239 CoRR https://arxiv.org/abs/2106.15239 db/journals/corr/corr2106.html#abs-2106-15239

Xiangyu Sun Guiliang Liu Pascal Poupart Oliver Schulte NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge. 2021 abs/2109.04286 CoRR https://arxiv.org/abs/2109.04286 db/journals/corr/corr2109.html#abs-2109-04286

Richard Mar Oliver Schulte Pre and Post Counting for Scalable Statistical-Relational Model Discovery. 2021 abs/2110.09767 CoRR https://arxiv.org/abs/2110.09767 db/journals/corr/corr2110.html#abs-2110-09767

Fatemeh Riahi Oliver Schulte Model-based exception mining for object-relational data. 681-722 2020 34 Data Min. Knowl. Discov. 3 https://doi.org/10.1007/s10618-020-00677-w db/journals/datamine/datamine34.html#RiahiS20

Guiliang Liu Yudong Luo Oliver Schulte Tarak Kharrat Deep soccer analytics: learning an action-value function for evaluating soccer players. 1531-1559 2020 34 Data Min. Knowl. Discov. 5 https://doi.org/10.1007/s10618-020-00705-9 db/journals/datamine/datamine34.html#LiuLSK20

Mahmoud Khademi Oliver Schulte Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. 11237-11245 2020 AAAI https://doi.org/10.1609/aaai.v34i07.6783 conf/aaai/2020 db/conf/aaai/aaai2020.html#KhademiS20 Yudong Luo Oliver Schulte Pascal Poupart Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players. 3356-3363 2020 IJCAI https://doi.org/10.24963/ijcai.2020/464 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#LuoSP20 Manfred Jaeger Oliver Schulte A Complete Characterization of Projectivity for Statistical Relational Models. 4283-4290 2020 IJCAI https://doi.org/10.24963/ijcai.2020/591 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#JaegerS20 Xiangyu Sun Jack Davis Oliver Schulte Guiliang Liu Cracking the Black Box: Distilling Deep Sports Analytics. 3154-3162 2020 KDD https://doi.org/10.1145/3394486.3403367 conf/kdd/2020 db/conf/kdd/kdd2020.html#SunDSL20 Guiliang Liu Oliver Schulte Pascal Poupart Mike Rudd Mehrsan Javan Learning Agent Representations for Ice Hockey. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/d90e5b6628b4291225cba0bdc643c295-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#LiuSPRJ20 Jing Nathan Yan Oliver Schulte Mohan Zhang Jiannan Wang 0001 Reynold Cheng SCODED: Statistical Constraint Oriented Data Error Detection. 845-860 2020 SIGMOD Conference https://doi.org/10.1145/3318464.3380568 https://www.wikidata.org/entity/Q130958451 conf/sigmod/2020 db/conf/sigmod/sigmod2020.html#YanSZWC20

Manfred Jaeger Oliver Schulte A Complete Characterization of Projectivity for Statistical Relational Models. 2020 abs/2004.10984 CoRR https://arxiv.org/abs/2004.10984 db/journals/corr/corr2004.html#abs-2004-10984

Xiangyu Sun Jack Davis Oliver Schulte Guiliang Liu Cracking the Black Box: Distilling Deep Sports Analytics. 2020 abs/2006.04551 CoRR https://arxiv.org/abs/2006.04551 db/journals/corr/corr2006.html#abs-2006-04551

Oliver Schulte Zhensong Qian FACTORBASE: multi-relational structure learning with SQL all the way. 289-309 2019 7 Int. J. Data Sci. Anal. 4 https://doi.org/10.1007/s41060-018-0130-1 db/journals/ijdsa/ijdsa7.html#SchulteQ19

Oliver Schulte Causal Learning with Occam's Razor. 991-1023 2019 107 Stud Logica 5 https://doi.org/10.1007/s11225-018-9829-1 https://www.wikidata.org/entity/Q129287914 db/journals/sLogica/sLogica107.html#Schulte19

Jing Nathan Yan Oliver Schulte Jiannan Wang 0001 Reynold Cheng Detecting Data Errors with Statistical Constraints. 2019 abs/1902.09711 CoRR http://arxiv.org/abs/1902.09711 db/journals/corr/corr1902.html#abs-1902-09711

Mahmoud Khademi Oliver Schulte Dynamic Gated Graph Neural Networks for Scene Graph Generation. 669-685 2018 ACCV (6) https://doi.org/10.1007/978-3-030-20876-9_42 conf/accv/2018-6 db/conf/accv/accv2018-6.html#KhademiS18 Mahmoud Khademi Oliver Schulte Image Caption Generation With Hierarchical Contextual Visual Spatial Attention. 1943-1951 2018 CVPR Workshops http://openaccess.thecvf.com/content_cvpr_2018_workshops/w39/html/Khademi_Image_Caption_Generation_CVPR_2018_paper.html https://doi.org/10.1109/CVPRW.2018.00260 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00260 conf/cvpr/2018w db/conf/cvpr/cvprw2018.html#KhademiS18 Guiliang Liu Oliver Schulte Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. 3442-3448 2018 IJCAI https://doi.org/10.24963/ijcai.2018/478 conf/ijcai/2018 db/conf/ijcai/ijcai2018.html#LiuS18 Guiliang Liu Wang Zhu 0001 Oliver Schulte Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL. 69-81 2018 MLSA@PKDD/ECML https://doi.org/10.1007/978-3-030-17274-9_6 conf/pkdd/2018mlsa db/conf/pkdd/mlsa2018.html#LiuZS18a Yejia Liu Oliver Schulte Chao Li 0025 Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts. 93-105 2018 MLSA@PKDD/ECML https://doi.org/10.1007/978-3-030-17274-9_8 conf/pkdd/2018mlsa db/conf/pkdd/mlsa2018.html#LiuSL18a Guiliang Liu Oliver Schulte Wang Zhu 0001 Qingcan Li Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. 414-429 2018 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-10928-8_25 conf/pkdd/2018-2 db/conf/pkdd/pkdd2018-2.html#LiuSZL18

Oliver Schulte Yejia Liu Chao Li 0015 Model Trees for Identifying Exceptional Players in the NHL Draft. 2018 abs/1802.08765 CoRR http://arxiv.org/abs/1802.08765 db/journals/corr/corr1802.html#abs-1802-08765

Guiliang Liu Oliver Schulte Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. 2018 abs/1805.11088 CoRR http://arxiv.org/abs/1805.11088 db/journals/corr/corr1805.html#abs-1805-11088

Fatemeh Riahi Oliver Schulte Model-based Exception Mining for Object-Relational Data. 2018 abs/1807.00381 CoRR http://arxiv.org/abs/1807.00381 db/journals/corr/corr1807.html#abs-1807-00381

Manfred Jaeger Oliver Schulte Inference, Learning, and Population Size: Projectivity for SRL Models. 2018 abs/1807.00564 CoRR http://arxiv.org/abs/1807.00564 db/journals/corr/corr1807.html#abs-1807-00564

Guiliang Liu Oliver Schulte Wang Zhu 0001 Qingcan Li Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. 2018 abs/1807.05887 CoRR http://arxiv.org/abs/1807.05887 db/journals/corr/corr1807.html#abs-1807-05887

Oliver Schulte Mahmoud Khademi Sajjad Gholami Zeyu Zhao 0001 Mehrsan Javan Roshtkhari Philippe Desaulniers A Markov Game model for valuing actions, locations, and team performance in ice hockey. 1735-1757 2017 31 Data Min. Knowl. Discov. 6 https://doi.org/10.1007/s10618-017-0496-z db/journals/datamine/datamine31.html#SchulteKGZJD17

Oliver Schulte Sajjad Gholami Locally Consistent Bayesian Network Scores for Multi-Relational Data. 2693-2700 2017 IJCAI https://doi.org/10.24963/ijcai.2017/375 conf/ijcai/2017 db/conf/ijcai/ijcai2017.html#SchulteG17

Oliver Schulte Zhensong Qian Arthur E. Kirkpatrick Xiaoqian Yin Yan Sun Fast learning of relational dependency networks. 377-406 2016 103 Mach. Learn. 3 https://doi.org/10.1007/s10994-016-5557-9 db/journals/ml/ml103.html#SchulteQKYS16

David Beaudoin Oliver Schulte Tim B. Swartz Biased penalty calls in the National Hockey League. 365-372 2016 9 Stat. Anal. Data Min. 5 https://doi.org/10.1002/sam.11320 db/journals/sadm/sadm9.html#BeaudoinSS16

Fatemeh Riahi Oliver Schulte Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data. 448-453 2016 FLAIRS http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12786 conf/flairs/2016 db/conf/flairs/flairs2016.html#RiahiS16 Zhensong Qian Oliver Schulte FactorBase : Multi-relational model learning with SQL all the way. 1-10 2015 DSAA https://doi.org/10.1109/DSAA.2015.7344828 conf/dsaa/2015 db/conf/dsaa/dsaa2015.html#QianS15 Oliver Schulte Zeyu Zhao 0001 Kurt Routley What is the Value of an Action in Ice Hockey? Q-Learning for the NHL. 77-86 2015 MLSA@PKDD/ECML https://ceur-ws.org/Vol-1970/paper-10.pdf conf/pkdd/2015mlsa db/conf/pkdd/mlsa2015.html#SchulteZR15 Fatemeh Riahi Oliver Schulte Model-Based Outlier Detection for Object-Relational Data. 1590-1598 2015 SSCI https://doi.org/10.1109/SSCI.2015.224 conf/ssci/2015 db/conf/ssci/ssci2015.html#RiahiS15 Kurt Routley Oliver Schulte A Markov Game Model for Valuing Player Actions in Ice Hockey. 782-791 2015 UAI conf/uai/2015 db/conf/uai/uai2015.html#RoutleyS15 http://auai.org/uai2015/proceedings/papers/130.pdf

Oliver Schulte Zhensong Qian SQL for SRL: Structure Learning Inside a Database System. 2015 abs/1507.00646 CoRR http://arxiv.org/abs/1507.00646 db/journals/corr/corr1507.html#SchulteQ15

Oliver Schulte Zhensong Qian FactorBase: SQL for Learning A Multi-Relational Graphical Model. 2015 abs/1508.02428 CoRR http://arxiv.org/abs/1508.02428 db/journals/corr/corr1508.html#SchulteQ15a

Jan Motl Oliver Schulte The CTU Prague Relational Learning Repository. 2015 abs/1511.03086 CoRR http://arxiv.org/abs/1511.03086 db/journals/corr/corr1511.html#MotlS15

Oliver Schulte Hassan Khosravi Arthur E. Kirkpatrick Tianxiang Gao Yuke Zhu Modelling relational statistics with Bayes Nets. 105-125 2014 94 Mach. Learn. 1 https://doi.org/10.1007/s10994-013-5362-7 db/journals/ml/ml94.html#SchulteKKGZ14

Fatemeh Riahi Oliver Schulte Qing Li A Proposal for Statistical Outlier Detection in Relational Structures. 2014 StarAI@AAAI http://www.aaai.org/ocs/index.php/WS/AAAIW14/paper/view/8780 conf/aaai/2014stat db/conf/aaai/stat2014.html#RiahiSL14 Oliver Schulte Kurt Routley Aggregating predictions vs. aggregating features for relational classification. 121-128 2014 CIDM https://doi.org/10.1109/CIDM.2014.7008657 conf/cidm/2014 db/conf/cidm/cidm2014.html#SchulteR14 Zhensong Qian Oliver Schulte Yan Sun Computing Multi-Relational Sufficient Statistics for Large Databases. 1249-1258 2014 CIKM https://doi.org/10.1145/2661829.2662010 conf/cikm/2014 db/conf/cikm/cikm2014.html#QianSS14

Zhensong Qian Oliver Schulte Yan Sun Computing Multi-Relational Sufficient Statistics for Large Databases. 2014 abs/1408.5389 CoRR http://arxiv.org/abs/1408.5389 db/journals/corr/corr1408.html#QianSS14

Oliver Schulte Zhensong Qian Arthur E. Kirkpatrick Xiaoqian Yin Yan Sun Fast Learning of Relational Dependency Networks. 2014 abs/1410.7835 CoRR http://arxiv.org/abs/1410.7835 db/journals/corr/corr1410.html#SchulteQKYS14

Bahareh Bina Oliver Schulte Branden Crawford Zhensong Qian Yi Xiong Simple decision forests for multi-relational classification. 1269-1279 2013 54 Decis. Support Syst. 3 https://doi.org/10.1016/j.dss.2012.11.017 db/journals/dss/dss54.html#BinaSCQX13

Byron J. Gao Martin Ester Hui Xiong 0001 Jin-Yi Cai Oliver Schulte The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. 690-703 2013 25 IEEE Trans. Knowl. Data Eng. 3 https://doi.org/10.1109/TKDE.2011.260 http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.260 db/journals/tkde/tkde25.html#GaoEXCS13

Oliver Schulte Fatemeh Riahi Qing Li Identifying Important Nodes in Heterogenous Networks. 2013 AAAI (Late-Breaking Developments) http://www.aaai.org/ocs/index.php/WS/AAAIW13/paper/view/7126 conf/aaai/2013late db/conf/aaai/late2013.html#SchulteRL13 Oliver Schulte Bahareh Bina Branden Crawford D. Bingham Yi Xiong A hierarchy of independence assumptions for multi-relational Bayes net classifiers. 150-159 2013 CIDM https://doi.org/10.1109/CIDM.2013.6597230 conf/cidm/2013 db/conf/cidm/cidm2013.html#SchulteBCBX13 Hassan Khosravi Ali Bozorgkhan Oliver Schulte Transaction-based link strength prediction in a social network. 191-198 2013 CIDM https://doi.org/10.1109/CIDM.2013.6597236 conf/cidm/2013 db/conf/cidm/cidm2013.html#KhosraviBS13 Zhensong Qian Oliver Schulte Learning Bayes Nets for Relational Data with Link Uncertainty. 123-137 2013 GKR https://doi.org/10.1007/978-3-319-04534-4_9 conf/gkr/2013 db/conf/gkr/gkr2013.html#QianS13

Oliver Schulte Hassan Khosravi Learning graphical models for relational data via lattice search. 331-368 2012 88 Mach. Learn. 3 https://doi.org/10.1007/s10994-012-5289-4 db/journals/ml/ml88.html#SchulteK12

Hassan Khosravi Oliver Schulte Jianfeng Hu Tianxiang Gao Learning compact Markov logic networks with decision trees. 257-277 2012 89 Mach. Learn. 3 https://doi.org/10.1007/s10994-012-5307-6 db/journals/ml/ml89.html#KhosraviSHG12

Oliver Schulte Hassan Khosravi Tong Man Learning directed relational models with recursive dependencies. 299-316 2012 89 Mach. Learn. 3 https://doi.org/10.1007/s10994-012-5308-5 db/journals/ml/ml89.html#SchulteKM12

Oliver Schulte Hassan Khosravi Tianxiang Gao Yuke Zhu Random Regression for Bayes Nets Applied to Relational Data. 2012 StarAI@UAI https://starai.cs.kuleuven.be/2012/accepted/schulte.pdf conf/starai/2012 db/conf/starai/starai2012.html#SchulteKGZ12 Hassan Khosravi Oliver Schulte Jianfeng Hu Tianxiang Gao Learning Compact Markov Logic Networks with Decision Trees. 20-25 2011 ILP https://doi.org/10.1007/978-3-642-31951-8_5 conf/ilp/2011 db/conf/ilp/ilp2011.html#KhosraviSHG12 Oliver Schulte Hassan Khosravi Tong Man Learning Directed Relational Models with Recursive Dependencies. 39-44 2011 ILP https://doi.org/10.1007/978-3-642-31951-8_8 conf/ilp/2011 db/conf/ilp/ilp2011.html#SchulteKM12 Oliver Schulte A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. 462-473 2011 SDM https://doi.org/10.1137/1.9781611972818.40 conf/sdm/2011 db/conf/sdm/sdm2011.html#Schulte11 Verónica Dahl Sara Saghaei Oliver Schulte Deidentification within Unstructured Medical Records. 43-54 2011 Biology, Computation and Linguistics https://doi.org/10.3233/978-1-60750-762-8-43 books/ios/BDJ2011 db/books/collections/BDJ2011.html#DahlSS11

Oliver Schulte Wei Luo 0001 Russell Greiner Mind change optimal learning of Bayes net structure from dependency and independency data. 63-82 2010 208 Inf. Comput. 1 https://doi.org/10.1016/j.ic.2009.03.009 https://www.wikidata.org/entity/Q62681671 db/journals/iandc/iandc208.html#SchulteLG10

Petra Berenbrink Oliver Schulte Evolutionary equilibrium in Bayesian routing games: Specialization and niche formation. 1054-1074 2010 411 Theor. Comput. Sci. 7-9 https://doi.org/10.1016/j.tcs.2009.11.015 db/journals/tcs/tcs411.html#BerenbrinkS10

Hassan Khosravi Oliver Schulte Tong Man Xiaoyuan Xu Bahareh Bina Structure Learning for Markov Logic Networks with Many Descriptive Attributes. 2010 AAAI https://doi.org/10.1609/aaai.v24i1.7685 conf/aaai/2010 db/conf/aaai/aaai2010.html#KhosraviSMXB10 487-493 Oliver Schulte Gustavo Frigo Russell Greiner Hassan Khosravi The IMAP Hybrid Method for Learning Gaussian Bayes Nets. 123-134 2010 Canadian AI https://doi.org/10.1007/978-3-642-13059-5_14 conf/ai/2010 db/conf/ai/ai2010.html#SchulteFGK10 Oliver Schulte Mark S. Drew Discovery of Conservation Laws via Matrix Search. 236-250 2010 Discovery Science https://doi.org/10.1007/978-3-642-16184-1_17 conf/dis/2010 db/conf/dis/dis2010.html#SchulteD10 Oliver Schulte Gustavo Frigo Russell Greiner Wei Luo 0001 Hassan Khosravi A new hybrid method for Bayesian network learning With dependency constraints. 53-60 2009 CIDM https://doi.org/10.1109/CIDM.2009.4938629 conf/cidm/2009 db/conf/cidm/cidm2009.html#SchulteFGLK09 Bahareh Bina Oliver Schulte Hassan Khosravi LNBC: A Link-Based Naive Bayes Classifier. 489-494 2009 ICDM Workshops https://doi.org/10.1109/ICDMW.2009.116 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.116 conf/icdm/2009w db/conf/icdm/icdmw2009.html#BinaSK09 Oliver Schulte Simultaneous Discovery of Conservation Laws and Hidden Particles with Smith Matrix Decomposition. 1481-1487 2009 IJCAI http://ijcai.org/Proceedings/09/Papers/248.pdf conf/ijcai/2009 db/conf/ijcai/ijcai2009.html#Schulte09

Oliver Schulte Hassan Khosravi Flavia Moser Martin Ester Join Bayes Nets: A new type of Bayes net for relational data http://arxiv.org/abs/0811.4458 2008 CoRR abs/0811.4458 db/journals/corr/corr0811.html#abs-0811-4458

Oliver Schulte Wei Luo 0001 Russell Greiner Mind Change Optimal Learning of Bayes Net Structure. 187-202 2007 conf/colt/2007 COLT https://doi.org/10.1007/978-3-540-72927-3_15 db/conf/colt/colt2007.html#SchulteLG07 Petra Berenbrink Oliver Schulte Evolutionary Equilibrium in Bayesian Routing Games: Specialization and Niche Formation. 29-40 2007 conf/esa/2007 ESA https://doi.org/10.1007/978-3-540-75520-3_5 db/conf/esa/esa2007.html#BerenbrinkS07 Byron J. Gao Martin Ester Jin-yi Cai Oliver Schulte Hui Xiong 0001 The minimum consistent subset cover problem and its applications in data mining. 310-319 2007 conf/kdd/2007 KDD https://doi.org/10.1145/1281192.1281228 db/conf/kdd/kdd2007.html#GaoESCX07 Oliver Schulte Logically Reliable Inductive Inference. 157-178 2007 Induction, Algorithmic Learning Theory, and Philosophy https://doi.org/10.1007/978-1-4020-6127-1_6 series/leus/Friend07 db/series/leus/leus9.html#Schulte07

Oliver Schulte Flavia Moser Martin Ester Zhiyong Lu Association Rules in the Relational Calculus http://arxiv.org/abs/0710.2083 2007 CoRR abs/0710.2083 db/journals/corr/corr0710.html#abs-0710-2083

Wei Luo 0001 Oliver Schulte Mind change efficient learning. 989-1011 2006 204 Inf. Comput. 6 https://doi.org/10.1016/j.ic.2006.02.004 https://www.wikidata.org/entity/Q62681674 db/journals/iandc/iandc204.html#LuoS06

Wei Luo 0001 Oliver Schulte Mind Change Efficient Learning. 398-412 2005 conf/colt/2005 COLT https://doi.org/10.1007/11503415_27 db/conf/colt/colt2005.html#LuoS05

Oliver Schulte James P. Delgrande Representing von Neumann-Morgenstern Games in the Situation Calculus. 73-101 2004 42 Ann. Math. Artif. Intell. 1-3 https://doi.org/10.1023/B:AMAI.0000034523.18162.6b db/journals/amai/amai42.html#SchulteD04

Oliver Schulte Iterated backward inference: an algorithm for proper rationalizability. 15-28 2003 conf/tark/2003 TARK https://doi.org/10.1145/846241.846244 db/conf/tark/tark2003.html#Schulte03 Bradley Bart James P. Delgrande Oliver Schulte Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study. 121-130 2001 conf/ai/2001 AI https://doi.org/10.1007/3-540-45153-6_12 db/conf/ai/ai2001.html#BartDS01

Oliver Schulte The Logic Of Reliable And Efficient Inquiry. 399-438 1999 28 J. Philos. Log. 4 https://doi.org/10.1023/A:1004443206028 db/journals/jphil/jphil28.html#Schulte99

Oliver Schulte Minimal Belief Change and the Pareto Principle. 329-361 1999 118 Synth. 3 https://doi.org/10.1023/A:1005162303126 db/journals/synthese/synthese118.html#Schulte99

Oliver Schulte Minimal Belief Change and Pareto-Optimality. 144-155 1999 conf/ausai/1999 Australian Joint Conference on Artificial Intelligence db/conf/ausai/ausai1999.html#Schulte99 https://doi.org/10.1007/3-540-46695-9_13 Torsten Rohlfing Jürgen Beier Oliver Schulte Norbert Hosten Roland Felix Multimodale Registrierung mit effizienten Lernverfahren für neuronale Netze. 1998 conf/bildmed/1998 Bildverarbeitung für die Medizin https://ceur-ws.org/Vol-12/085.ps https://doi.org/10.1007/978-3-642-58775-7_63 db/conf/bildmed/bildmed1998.html#RohlfingBSHF98 Mohamed Aloulou Steve Azzolin Shayan Shirahmad Gale Bagi Bradley Bart David Beaudoin Jürgen Beier Petra Berenbrink Bahareh Bina D. Bingham Ali Bozorgkhan Jin-Yi CaiJin-yi Cai Joe Carnall Reynold Cheng Mark Coates Branden Crawford Mark Crowley 0001 Verónica Dahl Jack Davis James P. Delgrande Philippe Desaulniers Mark S. Drew Haonan Duan 0002 Martin Ester Roland Felix Gustavo Frigo Byron J. Gao Tianxiang Gao Zahra Gharaee Sajjad Gholami Russell Greiner Norbert Hosten Jianfeng Hu Xia Hu Yaochen Hu 0001 Manfred Jaeger Mahmoud Khademi Tarak Kharrat Hassan Khosravi Arthur E. Kirkpatrick Chao Li 0015 Chao Li 0025 Ke Li 0011 Qing Li Qingcan Li Renjie Liao 0001 Guiliang Liu Yejia Liu Antonio Longa Zhiyong Lu Wei Luo 0001 Yudong Luo Sadegh Mahdavi Erfaneh Mahmoudzadeh Tong Man Richard Mar Ian G. McHale Flavia Moser Jan Motl Parmis NaddafParmis Nadaf Erfaneh Mahmoudzaheh Ahmadi Nejad Andrea Passerini Javier López Peña Pascal Poupart Zhensong Qian Adam Reid Fatemeh Riahi Paul Roberts Torsten Rohlfing Mehrsan Javan RoshtkhariMehrsan Javan Kurt Routley Mike Rudd Sara Saghaei Ankita Sakhuja Konstantin Sofeikov Steven Spencer Xiangyu Sun Yan Sun Tim B. Swartz Jiannan Wang 0001 Jia Jun Cheng Xian Hui Xiong 0001 Yi Xiong Sheng Xu Xiaoyuan Xu Jing Nathan Yan Xiaoqian Yin Kiarash Zahirnia Hongyuan Zha Mohan Zhang Zeyu Zhao 0001 Wei-Shi Zheng 0001 Wang Zhu 0001 Yuke Zhu