Stefan Lüdtke
8 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Deep Learning
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Core AI
(1)
Methods · Data Science & Analytics
(1)
Methods · Reinforcement Learning
(1)
Keywords
tabular data
(2)
decision tree
(2)
ensemble learning
(2)
gradient descent
(2)
probabilistic inference
(1)
hyperparameter optimization
(1)
binary classification
(1)
model architecture
(1)
policy gradient
(1)
test-time adaptation
(1)
model interpretability
(1)
model evaluation
(1)
multi-class classification
(1)
distribution shift
(1)
tractable inference
(1)
bayesian filtering
(1)
lifted inference
(1)
data stream
(1)
interpretability
(1)
online learning
(1)
Papers
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
ICLR 2025
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NeurIPS 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
IJCAI 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
AAAI 2024
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
ICLR 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