Barbara Engelhardt
7 papers · 2016–2024 · 3 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
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Optimization & Theory
(4)
Data Science & Analytics
(3)
Applications
(2)
Core Methods
(2)
Learning Types
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Methods
(1)
Optimization
(1)
Keywords
collaborative filtering
(2)
matrix factorization
(2)
gaussian process
(2)
active learning
(1)
variational inference
(1)
time series
(1)
probabilistic modeling
(1)
uncertainty quantification
(1)
latent force models
(1)
optimal transport
(1)
regret minimization
(1)
posterior distribution
(1)
uncertainty reduction
(1)
causal discovery
(1)
dimensionality reduction
(1)
sensitivity analysis
(1)
gamma-poisson model
(1)
distribution shift
(1)
causal inference
(1)
wasserstein distance
(1)
Papers
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
NeurIPS 2024
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
AISTATS 2022
Latent variable modeling with random features
AISTATS 2021
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
AISTATS 2020
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
NeurIPS 2018
Dynamic Collaborative Filtering With Compound Poisson Factorization
AISTATS 2017
Hierarchical Compound Poisson Factorization
ICML 2016