| 2024 | ECAI | Deep Generative Models for Subgraph Prediction. | Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte |
| 2023 | AISTATS | NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge. | Xiangyu Sun, Oliver Schulte, Guiliang Liu, Pascal Poupart |
| 2023 | CIKM | Joint Link Prediction Via Inference from a Model. | Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte |
| 2023 | ICML | Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. | Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley |
| 2022 | AI | Deep Learning of Latent Edge Types from Relational Data. | Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Naddaf |
| 2022 | ICLR | Distributional Reinforcement Learning with Monotonic Splines. | Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart |
| 2021 | SIGMOD | Leveraging Approximate Constraints for Localized Data Error Detection. | Mohan Zhang, Oliver Schulte, Yudong Luo |
| 2020 | AAAI | Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. | Mahmoud Khademi, Oliver Schulte |
| 2020 | IJCAI | A Complete Characterization of Projectivity for Statistical Relational Models. | Manfred Jaeger, Oliver Schulte |
| 2020 | IJCAI | Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players. | Yudong Luo, Oliver Schulte, Pascal Poupart |
| 2020 | KDD | Cracking the Black Box: Distilling Deep Sports Analytics. | Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu |
| 2020 | SIGMOD | SCODED: Statistical Constraint Oriented Data Error Detection. | Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng |
| 2018 | ACCV | Dynamic Gated Graph Neural Networks for Scene Graph Generation. | Mahmoud Khademi, Oliver Schulte |
| 2018 | CVPR | Image Caption Generation With Hierarchical Contextual Visual Spatial Attention. | Mahmoud Khademi, Oliver Schulte |
| 2018 | IJCAI | Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. | Guiliang Liu, Oliver Schulte |
| 2017 | IJCAI | Locally Consistent Bayesian Network Scores for Multi-Relational Data. | Oliver Schulte, Sajjad Gholami |
| 2016 | FlAIRS | Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data. | Fatemeh Riahi, Oliver Schulte |
| 2015 | DSAA | FactorBase : Multi-relational model learning with SQL all the way. | Zhensong Qian, Oliver Schulte |
| 2015 | UAI | A Markov Game Model for Valuing Player Actions in Ice Hockey. | Kurt Routley, Oliver Schulte |
| 2014 | AAAI | A Proposal for Statistical Outlier Detection in Relational Structures. | Fatemeh Riahi, Oliver Schulte, Qing Li |
| 2014 | CIDM | Aggregating predictions vs. aggregating features for relational classification. | Oliver Schulte, Kurt Routley |
| 2014 | CIKM | Computing Multi-Relational Sufficient Statistics for Large Databases. | Zhensong Qian, Oliver Schulte, Yan Sun |
| 2013 | AAAI | Identifying Important Nodes in Heterogenous Networks. | Oliver Schulte, Fatemeh Riahi, Qing Li |
| 2013 | CIDM | Transaction-based link strength prediction in a social network. | Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte |
| 2013 | CIDM | A hierarchy of independence assumptions for multi-relational Bayes net classifiers. | Oliver Schulte, Bahareh Bina, Branden Crawford, D. Bingham, Yi Xiong |
| 2011 | ILP | Learning Compact Markov Logic Networks with Decision Trees. | Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao |
| 2011 | ILP | Learning Directed Relational Models with Recursive Dependencies. | Oliver Schulte, Hassan Khosravi, Tong Man |
| 2011 | SDM | A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. | Oliver Schulte |
| 2010 | AAAI | Structure Learning for Markov Logic Networks with Many Descriptive Attributes. | Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina |
| 2010 | AI | The IMAP Hybrid Method for Learning Gaussian Bayes Nets. | Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi |
| 2010 | DIS | Discovery of Conservation Laws via Matrix Search. | Oliver Schulte, Mark S. Drew |
| 2009 | CIDM | A new hybrid method for Bayesian network learning With dependency constraints. | Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi |
| 2009 | ICDM | LNBC: A Link-Based Naive Bayes Classifier. | Bahareh Bina, Oliver Schulte, Hassan Khosravi |
| 2009 | IJCAI | Simultaneous Discovery of Conservation Laws and Hidden Particles with Smith Matrix Decomposition. | Oliver Schulte |
| 2007 | COLT | Mind Change Optimal Learning of Bayes Net Structure. | Oliver Schulte, Wei Luo, Russell Greiner |
| 2007 | ESA | Evolutionary Equilibrium in Bayesian Routing Games: Specialization and Niche Formation. | Petra Berenbrink, Oliver Schulte |
| 2007 | KDD | The minimum consistent subset cover problem and its applications in data mining. | Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong |
| 2005 | COLT | Mind Change Efficient Learning. | Wei Luo, Oliver Schulte |
| 2003 | TARK | Iterated backward inference: an algorithm for proper rationalizability. | Oliver Schulte |
| 2001 | AI | Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study. | Bradley Bart, James P. Delgrande, Oliver Schulte |