Ghassen Jerfel
7 papers · 2017–2023 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 👥 Mega-Team · Squad
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
variational inference
(3)
uncertainty quantification
(2)
dirichlet process
(1)
domain generalization
(1)
bayesian inference
(1)
matrix factorization
(1)
collaborative filtering
(1)
data augmentation
(1)
label smoothing
(1)
hierarchical bayesian
(1)
posterior distribution
(1)
gaussian process
(1)
time series
(1)
importance sampling
(1)
kullback-leibler divergence
(1)
distribution shift
(1)
stochastic variational inference
(1)
mixture model
(1)
poisson factorization
(1)
ensemble method
(1)
Papers
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Combining Ensembles and Data Augmentation Can Harm Your Calibration
ICLR 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
ICML 2020
Reconciling meta-learning and continual learning with online mixtures of tasks
NeurIPS 2019
Dynamic Collaborative Filtering With Compound Poisson Factorization
AISTATS 2017