Julia Olkhovskaya
9 papers · 2019–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (5) π Cross-Pollinator (7) πΊοΈ Taxonomy Completionist (15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
ALT (4)
NIPS (4)
COLT (1)
Top co-authors
Research topics
Keywords
regret bound
(4)
contextual bandit
(4)
adversarial learning
(2)
online learning
(2)
kernel methods
(2)
reinforcement learning
(2)
function approximation
(2)
kernel ridge regression
(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
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
NIPS 2024
Adversarial Contextual Bandits Go Kernelized
ALT 2024
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
NIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NIPS 2023
Online learning in MDPs with linear function approximation and bandit feedback.
NIPS 2021
Efficient and robust algorithms for adversarial linear contextual bandits
COLT 2020
Online Influence Maximization with Local Observations
ALT 2019