Christian Bartelt
12 papers · 2022–2025 · 9 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏆 Grand Slam
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Prolific Year · Productive
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Century Club · Bronze
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Optimization & Theory
(4)
Natural Language Processing
(2)
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(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Keywords
ensemble learning
(2)
tabular data
(2)
decision tree
(2)
interpretability
(2)
gradient descent
(2)
policy gradient
(1)
model evaluation
(1)
model selection
(1)
symbolic reasoning
(1)
binary classification
(1)
hyperparameter optimization
(1)
multimodal learning
(1)
model architecture
(1)
test-time adaptation
(1)
model interpretability
(1)
probabilistic inference
(1)
multi-class classification
(1)
distribution shift
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tractable inference
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online learning
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Papers
DCBM: Data-Efficient Visual Concept Bottleneck Models
ICML 2025
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
NAACL 2025
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
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
ACL 2024
Developmentally Plausible Multimodal Language Models Are Highly Modular
CoNLL 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
A Multidimensional Analysis of Social Biases in Vision Transformers
ICCV 2023
Online Random Feature Forests for Learning in Varying Feature Spaces
AAAI 2023
Exchangeability-Aware Sum-Product Networks
IJCAI 2022