General value function networks M Schlegel, A Jacobsen, Z Abbas, A Patterson, A White, M White Journal of Artificial Intelligence Research 70, 497-543, 2021 | 44 | 2021 |
Parameter-free mirror descent A Jacobsen, A Cutkosky Conference on Learning Theory, 4160-4211, 2022 | 35 | 2022 |
Meta-descent for online, continual prediction A Jacobsen, M Schlegel, C Linke, T Degris, A White, M White Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3943-3950, 2019 | 25 | 2019 |
Unconstrained online learning with unbounded losses A Jacobsen, A Cutkosky International Conference on Machine Learning, 14590-14630, 2023 | 14 | 2023 |
Continual auxiliary task learning M McLeod, C Lo, M Schlegel, A Jacobsen, R Kumaraswamy, M White, ... Advances in Neural Information Processing Systems 34, 12549-12562, 2021 | 11 | 2021 |
Online linear regression in dynamic environments via discounting A Jacobsen, A Cutkosky arXiv preprint arXiv:2405.19175, 2024 | 4 | 2024 |
An Equivalence Between Static and Dynamic Regret Minimization A Jacobsen, F Orabona arXiv preprint arXiv:2406.01577, 2024 | 2 | 2024 |
Parameter-free Gradient Temporal Difference Learning A Jacobsen, A Chan arXiv preprint arXiv:2105.04129, 2021 | 2 | 2021 |
Adapting to Non-stationarity in Online Learning A Jacobsen | | 2024 |
Vector Step-size Adaptation for Continual, Online Prediction A Jacobsen | | 2019 |