Jacobsen, Andrew

8 publications

NeurIPS 2025 Dynamic Regret Reduces to Kernelized Static Regret Andrew Jacobsen, Alessandro Rudi, Francesco Orabona, Nicolò Cesa-Bianchi

NeurIPS 2024 An Equivalence Between Static and Dynamic Regret Minimization Andrew Jacobsen, Francesco Orabona

ICML 2024 Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen, Ashok Cutkosky

ICML 2023 Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen, Ashok Cutkosky

COLT 2022 Parameter-Free Mirror Descent Andrew Jacobsen, Ashok Cutkosky

NeurIPS 2021 Continual Auxiliary Task Learning Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White

JAIR 2021 General Value Function Networks Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White

AAAI 2019 Meta-Descent for Online, Continual Prediction Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White