Oliver Schulte
14 papers · 2017–2023 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37)
π
Grand Slam
π§
Keyword Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(9)
Deep Learning
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Reinforcement Learning
(4)
Methods
(4)
Architectures
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization & Theory
(3)
Application Areas
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
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
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
NeurIPS 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
ICML 2023
Neural Graph Generation from Graph Statistics
NeurIPS 2023
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
AISTATS 2023
Distributional Reinforcement Learning with Monotonic Splines
ICLR 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
NeurIPS 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
NeurIPS 2022
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
NeurIPS 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
NeurIPS 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