Olkhovskaya, Julia

9 publications

NeurIPS 2025 An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction Tim van Erven, Jack Mayo, Julia Olkhovskaya, Chen-Yu Wei

JAIR 2025 Improved Regret Bounds for Bandits with Expert Advice Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya

ALT 2024 Adversarial Contextual Bandits Go Kernelized Gergely Neu, Julia Olkhovskaya, Sattar Vakili

NeurIPS 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm Sattar Vakili, Julia Olkhovskaya

NeurIPS 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits Julia Olkhovskaya, Jack Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei

NeurIPS 2023 Kernelized Reinforcement Learning with Order Optimal Regret Bounds Sattar Vakili, Julia Olkhovskaya

NeurIPS 2021 Online Learning in MDPs with Linear Function Approximation and Bandit Feedback. Gergely Neu, Julia Olkhovskaya

COLT 2020 Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits Gergely Neu, Julia Olkhovskaya

ALT 2019 Online Influence Maximization with Local Observations Gábor Lugosi, Gergely Neu, Julia Olkhovskaya