← Authors

Oliver Schulte

14 papers · 2017–2023 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (37) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) πŸ† Grand Slam πŸ’Ž Century Club (14) πŸ—ƒοΈ Keyword Collector (77)

Conferences

NIPS (6) IJCAI (4) AAAI (1) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Guiliang Liu (6) Pascal Poupart (6) Xiangyu Sun (3) Yudong Luo (3) Kiarash Zahirnia (2) Manfred Jaeger (1) Shayan Shirahmad Gale Bagi (1) Zahra Gharaee (1) Sajjad Gholami (1) Mark Crowley (1)

Keywords

deep reinforcement learning (3) graph generation (2) latent variable (2) knowledge transfer (2) model selection (2) structure learning (2) player evaluation (2) graph neural network (2) probabilistic modeling (1) causal discovery (1) representation learning (1) uncertainty quantification (1) epistemic uncertainty (1) visual question answering (1) relational learning (1) statistical consistency (1) scene graph generation (1) information bottleneck (1) out-of-distribution generalization (1) motion forecasting (1)

Papers

NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NIPS 2023
Neural Graph Generation from Graph Statistics NIPS 2023
Distributional Reinforcement Learning with Monotonic Splines ICLR 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NIPS 2022
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NIPS 2021
A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020
Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation AAAI 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020
Learning Agent Representations for Ice Hockey NIPS 2020
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation IJCAI 2018
Locally Consistent Bayesian Network Scores for Multi-Relational Data IJCAI 2017