Julyan Arbel
6 papers · 2019–2025 · 4 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 (18) 👥 Mega-Team · Squad
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Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types
(2)
Optimization
(2)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Techniques
(1)
Keywords
bayesian neural network
(2)
active learning
(1)
submodular maximization
(1)
online learning
(1)
probabilistic modeling
(1)
bayesian inference
(1)
model calibration
(1)
covariance estimation
(1)
laplace approximation
(1)
gaussian process
(1)
covariance matrix
(1)
pac-bayesian analysis
(1)
prior distribution
(1)
thompson sampling
(1)
continual learning
(1)
multi-armed bandit
(1)
regret bound
(1)
heavy-tailed distribution
(1)
combinatorial semi-bandit
(1)
stochastic optimization
(1)
Papers
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit
ALT 2025
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
NeurIPS 2024
The Fine Print on Tempered Posteriors
ACML 2023
Bayesian neural network unit priors and generalized Weibull-tail property
ACML 2021
Understanding Priors in Bayesian Neural Networks at the Unit Level
ICML 2019