Andrew Jacobsen

According to our database, Andrew Jacobsen authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Dynamic Regret Reduces to Kernelized Static Regret.

Andrew Jacobsen, Alessandro Rudi, Francesco Orabona, Nicolò Cesa-Bianchi

CoRR, July, 2025

2024

An Equivalence Between Static and Dynamic Regret Minimization.

Andrew Jacobsen, Francesco Orabona

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Linear Regression in Dynamic Environments via Discounting.

Andrew Jacobsen, Ashok Cutkosky

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unconstrained Online Learning with Unbounded Losses.

Andrew Jacobsen, Ashok Cutkosky

Proceedings of the International Conference on Machine Learning, 2023

2022

Parameter-free Mirror Descent.

Andrew Jacobsen, Ashok Cutkosky

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

General Value Function Networks.

Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White

J. Artif. Intell. Res., 2021

Parameter-free Gradient Temporal Difference Learning.

Andrew Jacobsen, Alan Chan

CoRR, 2021

Continual Auxiliary Task Learning.

Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Meta-Descent for Online, Continual Prediction.

Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019