Julia Olkhovskaya
9 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(17)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
regret bound
(5)
contextual bandit
(4)
function approximation
(2)
reinforcement learning
(2)
kernel methods
(2)
adversarial learning
(2)
kernel ridge regression
(2)
online learning
(2)
thompson sampling
(1)
optimal regret
(1)
stochastic block model
(1)
influence maximization
(1)
minimax regret
(1)
exp3 algorithm
(1)
regret guarantee
(1)
linear bandit
(1)
bandit algorithm
(1)
average reward
(1)
no-regret algorithm
(1)
confidence interval
(1)
Papers
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability
ALT 2026
Sparse Nonparametric Contextual Bandits
ALT 2026
Adversarial Contextual Bandits Go Kernelized
ALT 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
NeurIPS 2024
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NeurIPS 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
NeurIPS 2023
Online learning in MDPs with linear function approximation and bandit feedback.
NeurIPS 2021
Efficient and robust algorithms for adversarial linear contextual bandits
COLT 2020
Online Influence Maximization with Local Observations
ALT 2019