Julia Vinogradska
8 papers · 2016–2024 · 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
(17)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Types
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Reinforcement Learning
(2)
Learning Paradigms · Machine Learning
(2)
Methods
(2)
Mathematics & Optimization
(1)
Core AI
(1)
Optimization
(1)
Keywords
gaussian process
(6)
bayesian optimization
(4)
uncertainty quantification
(3)
model-based reinforcement learning
(2)
stability analysis
(2)
epistemic uncertainty
(1)
sequential decision making
(1)
distributional reinforcement learning
(1)
bellman equation
(1)
value function
(1)
quantile regression
(1)
hierarchical model
(1)
learning control
(1)
posterior approximation
(1)
entropy search
(1)
acquisition function
(1)
exploration strategy
(1)
control policy
(1)
posterior variance
(1)
multi-task kernel
(1)
Papers
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
Value-Distributional Model-Based Reinforcement Learning
JMLR 2024
Model-Based Uncertainty in Value Functions
AISTATS 2023
Information-Theoretic Safe Exploration with Gaussian Processes
NeurIPS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization
AISTATS 2022
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
AISTATS 2020
Stability of Controllers for Gaussian Process Dynamics
JMLR 2017
Stability of Controllers for Gaussian Process Forward Models
ICML 2016