Oliver Schulte

106 papers A* 19A 7B 5C 4Misc 2Journal 47Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	When Should Reinforcement Learning Use Causal Reasoning? Trans. Mach. Learn. Res. Oliver Schulte, Pascal Poupart
2024	A	`conf`	Deep Generative Models for Subgraph Prediction. ECAI Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte
2024	J	`jnl`	Deep Generative Models for Subgraph Prediction. CoRR Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte
2024	J	`jnl`	Disentanglement in Implicit Causal Models via Switch Variable. CoRR Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2024	J	`jnl`	From Graph Diffusion to Graph Classification. CoRR Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao, Oliver Schulte
2024	J	`jnl`	Why Online Reinforcement Learning is Causal. CoRR Oliver Schulte, Pascal Poupart
2023	—	`conf`	A Simple Latent Variable Model for Graph Learning and Inference. LoG Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
2023	A*	`conf`	Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing. NeurIPS Xiangyu Sun, Oliver Schulte
2023	J	`jnl`	Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing. CoRR Xiangyu Sun, Oliver Schulte
2023	J	`jnl`	Computing Expected Motif Counts for Exchangeable Graph Generative Models. CoRR Oliver Schulte
2023	J	`jnl`	From Graph Generation to Graph Classification. CoRR Oliver Schulte
2023	A*	`conf`	Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. ICML Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2023	J	`jnl`	Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. CoRR Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2023	A	`conf`	Joint Link Prediction Via Inference from a Model. CIKM Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte
2023	A	`conf`	NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge. AISTATS Xiangyu Sun, Oliver Schulte, Guiliang Liu, Pascal Poupart
2023	A*	`conf`	Neural Graph Generation from Graph Statistics. NeurIPS Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte
2022	—	`conf`	Deep Learning of Latent Edge Types from Relational Data. Canadian AI Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Naddaf
2022	A*	`conf`	Distributional Reinforcement Learning with Monotonic Splines. ICLR Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart
2022	A*	`conf`	Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. NeurIPS Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
2022	J	`jnl`	Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. CoRR Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
2022	A*	`conf`	Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game. NeurIPS Guiliang Liu, Yudong Luo, Oliver Schulte, Pascal Poupart
2022	—	`conf`	Valuing Actions and Ranking Hockey Players With Machine Learning. LINHAC Oliver Schulte
2021	J	`jnl`	Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning. CoRR Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu
2021	A*	`conf`	Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning. NeurIPS Guiliang Liu, Xiangyu Sun, Oliver Schulte, Pascal Poupart
2021	—	`conf`	Leveraging Approximate Constraints for Localized Data Error Detection. aiDM@SIGMOD Mohan Zhang, Oliver Schulte, Yudong Luo
2021	J	`jnl`	NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge. CoRR Xiangyu Sun, Guiliang Liu, Pascal Poupart, Oliver Schulte
2021	J	`jnl`	Pre and Post Counting for Scalable Statistical-Relational Model Discovery. CoRR Richard Mar, Oliver Schulte
2020	A*	`conf`	A Complete Characterization of Projectivity for Statistical Relational Models. IJCAI Manfred Jaeger, Oliver Schulte
2020	J	`jnl`	A Complete Characterization of Projectivity for Statistical Relational Models. CoRR Manfred Jaeger, Oliver Schulte
2020	A*	`conf`	Cracking the Black Box: Distilling Deep Sports Analytics. KDD Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu
2020	J	`jnl`	Cracking the Black Box: Distilling Deep Sports Analytics. CoRR Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu
2020	A*	`conf`	Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. AAAI Mahmoud Khademi, Oliver Schulte
2020	J	`jnl`	Deep soccer analytics: learning an action-value function for evaluating soccer players. Data Min. Knowl. Discov. Guiliang Liu, Yudong Luo, Oliver Schulte, Tarak Kharrat
2020	A*	`conf`	Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players. IJCAI Yudong Luo, Oliver Schulte, Pascal Poupart
2020	A*	`conf`	Learning Agent Representations for Ice Hockey. NeurIPS Guiliang Liu, Oliver Schulte, Pascal Poupart, Mike Rudd, Mehrsan Javan
2020	J	`jnl`	Model-based exception mining for object-relational data. Data Min. Knowl. Discov. Fatemeh Riahi, Oliver Schulte
2020	—	`conf`	SCODED: Statistical Constraint Oriented Data Error Detection. SIGMOD Conference Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng
2019	J	`jnl`	Causal Learning with Occam's Razor. Stud Logica Oliver Schulte
2019	J	`jnl`	Detecting Data Errors with Statistical Constraints. CoRR Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng
2019	J	`jnl`	FACTORBASE: multi-relational structure learning with SQL all the way. Int. J. Data Sci. Anal. Oliver Schulte, Zhensong Qian
2018	A*	`conf`	Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. IJCAI Guiliang Liu, Oliver Schulte
2018	J	`jnl`	Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. CoRR Guiliang Liu, Oliver Schulte
2018	—	`conf`	Dynamic Gated Graph Neural Networks for Scene Graph Generation. ACCV (6) Mahmoud Khademi, Oliver Schulte
2018	—	`conf`	Image Caption Generation With Hierarchical Contextual Visual Spatial Attention. CVPR Workshops Mahmoud Khademi, Oliver Schulte
2018	J	`jnl`	Inference, Learning, and Population Size: Projectivity for SRL Models. CoRR Manfred Jaeger, Oliver Schulte
2018	—	`conf`	Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL. MLSA@PKDD/ECML Guiliang Liu, Wang Zhu, Oliver Schulte
2018	J	`jnl`	Model Trees for Identifying Exceptional Players in the NHL Draft. CoRR Oliver Schulte, Yejia Liu, Chao Li
2018	—	`conf`	Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts. MLSA@PKDD/ECML Yejia Liu, Oliver Schulte, Chao Li
2018	J	`jnl`	Model-based Exception Mining for Object-Relational Data. CoRR Fatemeh Riahi, Oliver Schulte
2018	—	`conf`	Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. ECML/PKDD (2) Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li
2018	J	`jnl`	Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. CoRR Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li
2017	J	`jnl`	A Markov Game model for valuing actions, locations, and team performance in ice hockey. Data Min. Knowl. Discov. Oliver Schulte, Mahmoud Khademi, Sajjad Gholami, Zeyu Zhao, Mehrsan Javan Roshtkhari, Philippe Desaulniers
2017	A*	`conf`	Locally Consistent Bayesian Network Scores for Multi-Relational Data. IJCAI Oliver Schulte, Sajjad Gholami
2016	J	`jnl`	Biased penalty calls in the National Hockey League. Stat. Anal. Data Min. David Beaudoin, Oliver Schulte, Tim B. Swartz
2016	J	`jnl`	Fast learning of relational dependency networks. Mach. Learn. Oliver Schulte, Zhensong Qian, Arthur E. Kirkpatrick, Xiaoqian Yin, Yan Sun
2016	Misc	`conf`	Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data. FLAIRS Fatemeh Riahi, Oliver Schulte
2015	A	`conf`	A Markov Game Model for Valuing Player Actions in Ice Hockey. UAI Kurt Routley, Oliver Schulte
2015	B	`conf`	FactorBase : Multi-relational model learning with SQL all the way. DSAA Zhensong Qian, Oliver Schulte
2015	J	`jnl`	FactorBase: SQL for Learning A Multi-Relational Graphical Model. CoRR Oliver Schulte, Zhensong Qian
2015	—	`conf`	Model-Based Outlier Detection for Object-Relational Data. SSCI Fatemeh Riahi, Oliver Schulte
2015	J	`jnl`	SQL for SRL: Structure Learning Inside a Database System. CoRR Oliver Schulte, Zhensong Qian
2015	J	`jnl`	The CTU Prague Relational Learning Repository. CoRR Jan Motl, Oliver Schulte
2015	—	`conf`	What is the Value of an Action in Ice Hockey? Q-Learning for the NHL. MLSA@PKDD/ECML Oliver Schulte, Zeyu Zhao, Kurt Routley
2014	—	`conf`	A Proposal for Statistical Outlier Detection in Relational Structures. StarAI@AAAI Fatemeh Riahi, Oliver Schulte, Qing Li
2014	C	`conf`	Aggregating predictions vs. aggregating features for relational classification. CIDM Oliver Schulte, Kurt Routley
2014	A	`conf`	Computing Multi-Relational Sufficient Statistics for Large Databases. CIKM Zhensong Qian, Oliver Schulte, Yan Sun
2014	J	`jnl`	Computing Multi-Relational Sufficient Statistics for Large Databases. CoRR Zhensong Qian, Oliver Schulte, Yan Sun
2014	J	`jnl`	Fast Learning of Relational Dependency Networks. CoRR Oliver Schulte, Zhensong Qian, Arthur E. Kirkpatrick, Xiaoqian Yin, Yan Sun
2014	J	`jnl`	Modelling relational statistics with Bayes Nets. Mach. Learn. Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu
2013	C	`conf`	A hierarchy of independence assumptions for multi-relational Bayes net classifiers. CIDM Oliver Schulte, Bahareh Bina, Branden Crawford, D. Bingham, Yi Xiong
2013	—	`conf`	Identifying Important Nodes in Heterogenous Networks. AAAI (Late-Breaking Developments) Oliver Schulte, Fatemeh Riahi, Qing Li
2013	—	`conf`	Learning Bayes Nets for Relational Data with Link Uncertainty. GKR Zhensong Qian, Oliver Schulte
2013	J	`jnl`	Simple decision forests for multi-relational classification. Decis. Support Syst. Bahareh Bina, Oliver Schulte, Branden Crawford, Zhensong Qian, Yi Xiong
2013	J	`jnl`	The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Trans. Knowl. Data Eng. Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
2013	C	`conf`	Transaction-based link strength prediction in a social network. CIDM Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte
2012	J	`jnl`	Learning compact Markov logic networks with decision trees. Mach. Learn. Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
2012	J	`jnl`	Learning directed relational models with recursive dependencies. Mach. Learn. Oliver Schulte, Hassan Khosravi, Tong Man
2012	J	`jnl`	Learning graphical models for relational data via lattice search. Mach. Learn. Oliver Schulte, Hassan Khosravi
2012	—	`conf`	Random Regression for Bayes Nets Applied to Relational Data. StarAI@UAI Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu
2011	A	`conf`	A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. SDM Oliver Schulte
2011	—	`ch.`	Deidentification within Unstructured Medical Records. Biology, Computation and Linguistics Verónica Dahl, Sara Saghaei, Oliver Schulte
2011	B	`conf`	Learning Compact Markov Logic Networks with Decision Trees. ILP Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
2011	B	`conf`	Learning Directed Relational Models with Recursive Dependencies. ILP Oliver Schulte, Hassan Khosravi, Tong Man
2010	B	`conf`	Discovery of Conservation Laws via Matrix Search. Discovery Science Oliver Schulte, Mark S. Drew
2010	J	`jnl`	Evolutionary equilibrium in Bayesian routing games: Specialization and niche formation. Theor. Comput. Sci. Petra Berenbrink, Oliver Schulte
2010	J	`jnl`	Mind change optimal learning of Bayes net structure from dependency and independency data. Inf. Comput. Oliver Schulte, Wei Luo, Russell Greiner
2010	A*	`conf`	Structure Learning for Markov Logic Networks with Many Descriptive Attributes. AAAI Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina
2010	—	`conf`	The IMAP Hybrid Method for Learning Gaussian Bayes Nets. Canadian AI Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi
2009	C	`conf`	A new hybrid method for Bayesian network learning With dependency constraints. CIDM Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi
2009	—	`conf`	LNBC: A Link-Based Naive Bayes Classifier. ICDM Workshops Bahareh Bina, Oliver Schulte, Hassan Khosravi
2009	A*	`conf`	Simultaneous Discovery of Conservation Laws and Hidden Particles with Smith Matrix Decomposition. IJCAI Oliver Schulte
2008	J	`jnl`	Join Bayes Nets: A new type of Bayes net for relational data CoRR Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester
2007	J	`jnl`	Association Rules in the Relational Calculus CoRR Oliver Schulte, Flavia Moser, Martin Ester, Zhiyong Lu
2007	A	`conf`	Evolutionary Equilibrium in Bayesian Routing Games: Specialization and Niche Formation. ESA Petra Berenbrink, Oliver Schulte
2007	—	`ch.`	Logically Reliable Inductive Inference. Induction, Algorithmic Learning Theory, and Philosophy Oliver Schulte
2007	A*	`conf`	Mind Change Optimal Learning of Bayes Net Structure. COLT Oliver Schulte, Wei Luo, Russell Greiner
2007	A*	`conf`	The minimum consistent subset cover problem and its applications in data mining. KDD Byron J. Gao, Martin Ester, Jin-Yi Cai, Oliver Schulte, Hui Xiong
2006	J	`jnl`	Mind change efficient learning. Inf. Comput. Wei Luo, Oliver Schulte
2005	A*	`conf`	Mind Change Efficient Learning. COLT Wei Luo, Oliver Schulte
2004	J	`jnl`	Representing von Neumann-Morgenstern Games in the Situation Calculus. Ann. Math. Artif. Intell. Oliver Schulte, James P. Delgrande
2003	B	`conf`	Iterated backward inference: an algorithm for proper rationalizability. TARK Oliver Schulte
2001	Misc	`conf`	Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study. AI Bradley Bart, James P. Delgrande, Oliver Schulte
1999	—	`conf`	Minimal Belief Change and Pareto-Optimality. Australian Joint Conference on Artificial Intelligence Oliver Schulte
1999	J	`jnl`	Minimal Belief Change and the Pareto Principle. Synth. Oliver Schulte
1999	J	`jnl`	The Logic Of Reliable And Efficient Inquiry. J. Philos. Log. Oliver Schulte
1998	—	`conf`	Multimodale Registrierung mit effizienten Lernverfahren für neuronale Netze. Bildverarbeitung für die Medizin Torsten Rohlfing, Jürgen Beier, Oliver Schulte, Norbert Hosten, Roland Felix