Andrew Jacobsen

18 papers A* 6Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Perturbation Approach to Unconstrained Linear Bandits.
CoRR
Andrew Jacobsen, Dorian Baudry, Shinji Ito, Nicolò Cesa-Bianchi
2026 J jnl
Parameter-Free Dynamic Regret for Unconstrained Linear Bandits.
CoRR
Alberto Rumi, Andrew Jacobsen, Nicolò Cesa-Bianchi, Fabio Vitale
2026 J jnl
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory.
CoRR
Emmanuel Esposito, Andrew Jacobsen, Hao Qiu, Mengxiao Zhang
2025 J jnl
Dynamic Regret Reduces to Kernelized Static Regret.
CoRR
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona, Nicolò Cesa-Bianchi
2024 A* conf
An Equivalence Between Static and Dynamic Regret Minimization.
NeurIPS
Andrew Jacobsen, Francesco Orabona
2024 J jnl
An Equivalence Between Static and Dynamic Regret Minimization.
CoRR
Andrew Jacobsen, Francesco Orabona
2024 A* conf
Online Linear Regression in Dynamic Environments via Discounting.
ICML
Andrew Jacobsen, Ashok Cutkosky
2024 J jnl
Online Linear Regression in Dynamic Environments via Discounting.
CoRR
Andrew Jacobsen, Ashok Cutkosky
2023 A* conf
Unconstrained Online Learning with Unbounded Losses.
ICML
Andrew Jacobsen, Ashok Cutkosky
2023 J jnl
Unconstrained Online Learning with Unbounded Losses.
CoRR
Andrew Jacobsen, Ashok Cutkosky
2022 J jnl
Continual Auxiliary Task Learning.
CoRR
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2022 A* conf
Parameter-free Mirror Descent.
COLT
Andrew Jacobsen, Ashok Cutkosky
2022 J jnl
Parameter-free Mirror Descent.
CoRR
Andrew Jacobsen, Ashok Cutkosky
2021 A* conf
Continual Auxiliary Task Learning.
NeurIPS
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021 J jnl
General Value Function Networks.
J. Artif. Intell. Res.
Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White
2021 J jnl
Parameter-free Gradient Temporal Difference Learning.
CoRR
Andrew Jacobsen, Alan Chan
2019 A* conf
Meta-Descent for Online, Continual Prediction.
AAAI
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019 J jnl
Meta-descent for Online, Continual Prediction.
CoRR
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White