Stefan Lüdtke
8 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(22)
Conferences
IJCAI (3)
AAAI (2)
ICLR (2)
NIPS (1)
Top co-authors
Keywords
model selection
(1)
online learning
(1)
binary classification
(1)
ensemble learning
(1)
probabilistic inference
(1)
hyperparameter optimization
(1)
model evaluation
(1)
model architecture
(1)
test-time adaptation
(1)
model interpretability
(1)
gradient descent
(1)
multi-class classification
(1)
distribution shift
(1)
bayesian filtering
(1)
tractable inference
(1)
lifted inference
(1)
data stream
(1)
decision tree
(1)
feature engineering
(1)
tabular datum
(1)
Papers
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
ICLR 2025
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
AAAI 2024
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
ICLR 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
IJCAI 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NIPS 2024
Online Random Feature Forests for Learning in Varying Feature Spaces
AAAI 2023
Exchangeability-Aware Sum-Product Networks
IJCAI 2022
Lifted Filtering via Exchangeable Decomposition
IJCAI 2018