Christoph Zimmer
9 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Bayesian & Probabilistic · Machine Learning
(5)
Learning Types
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Core AI
(2)
Core Methods
(2)
Methods
(2)
Healthcare & Medicine
(1)
Applications
(1)
Research
(1)
Keywords
gaussian process
(7)
active learning
(4)
uncertainty estimation
(3)
uncertainty quantification
(2)
kernel methods
(2)
structure learning
(1)
gaussian processes
(1)
model selection
(1)
gradient-based optimization
(1)
transfer learning
(1)
sequential decision making
(1)
optimal transport
(1)
kernel learning
(1)
disease surveillance
(1)
time series forecasting
(1)
hyperparameter optimization
(1)
time series
(1)
gradient-based method
(1)
multi-output regression
(1)
causal discovery
(1)
Papers
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
AAAI 2026
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
AISTATS 2024
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
UAI 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
AISTATS 2023
Safe Active Learning for Multi-Output Gaussian Processes
AISTATS 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
NeurIPS 2022
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020
Influenza Forecasting Framework based on Gaussian Processes
ICML 2020
Safe Active Learning for Time-Series Modeling with Gaussian Processes
NeurIPS 2018