Barbara Engelhardt
7 papers · 2016–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (8) π Cross-Pollinator (15)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
Conferences
AISTATS (4)
NIPS (2)
ICML (1)
Top co-authors
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
NIPS 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
NIPS 2018
Dynamic Collaborative Filtering With Compound Poisson Factorization
AISTATS 2017
Hierarchical Compound Poisson Factorization
ICML 2016