Andrew Jacobsen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Dynamic Environments

Handwritten Numeral Recognition

Temporal Difference Learning

Regret Minimization

Top Venues

J. Artif. Intell. Res.

Publications

Andrew Jacobsen, Ashok Cutkosky
Online Linear Regression in Dynamic Environments via Discounting. CoRR (2024)
Andrew Jacobsen, Francesco Orabona
An Equivalence Between Static and Dynamic Regret Minimization. CoRR (2024)
Andrew Jacobsen, Ashok Cutkosky
Unconstrained Online Learning with Unbounded Losses. CoRR (2023)
Andrew Jacobsen, Ashok Cutkosky
Unconstrained Online Learning with Unbounded Losses. ICML (2023)
Andrew Jacobsen, Ashok Cutkosky
Parameter-free Mirror Descent. CoRR (2022)
Andrew Jacobsen, Ashok Cutkosky
Parameter-free Mirror Descent. COLT (2022)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. CoRR (2022)
Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White
General Value Function Networks. J. Artif. Intell. Res. 70 (2021)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. NeurIPS (2021)
Andrew Jacobsen, Alan Chan
Parameter-free Gradient Temporal Difference Learning. CoRR (2021)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-Descent for Online, Continual Prediction. AAAI (2019)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-descent for Online, Continual Prediction. CoRR (2019)