Ayca Özcelikkale
Universitetslektor vid Institutionen för elektroteknik; Signaler och system
- Fax:
- 018-471 58 00
- E-post:
- ayca.ozcelikkale@angstrom.uu.se
- Besöksadress:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
752 37 UPPSALA - Postadress:
- Box 65
751 03 UPPSALA
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Publikationer
Urval av publikationer
- Linear Regression With Distributed Learning (2021)
- Chance-Constrained Active Inference (2021)
- Application of the Free Energy Principle to Estimation and Control (2021)
- Generalization Error for Linear Regression under Distributed Learning (2020)
- Sparse Recovery with Non-Linear Fourier Features (2020)
- Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing (2018)
- Remote Estimation of Correlated Sources Under Energy Harvesting Constraints (2018)
- Transmission strategies for remote estimation with an energy harvesting sensor (2017)
Senaste publikationer
- Regularization Trade-offs with Fake Features (2023)
- Estimation Under Model Misspecification With Fake Features (2023)
- Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit (2021)
- Model Mismatch Trade-offs in LMMSE Estimation (2021)
- Generalization Error and Overparameterization While Learning over Networks (2021)
Alla publikationer
Artiklar
- Estimation Under Model Misspecification With Fake Features (2023)
- Linear Regression With Distributed Learning (2021)
- Chance-Constrained Active Inference (2021)
- Application of the Free Energy Principle to Estimation and Control (2021)
- Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing (2018)
- Remote Estimation of Correlated Sources Under Energy Harvesting Constraints (2018)
- Transmission strategies for remote estimation with an energy harvesting sensor (2017)
- Inertia estimation methods for hydropower units
- Distributed Continual Learning with CoCoA
- Continual Learning with Distributed Optimization: Does CoCoA Forget?
Konferenser
- Regularization Trade-offs with Fake Features (2023)
- Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit (2021)
- Model Mismatch Trade-offs in LMMSE Estimation (2021)
- Generalization Error and Overparameterization While Learning over Networks (2021)
- Learning to Observe with Reinforcement Learning (2021)
- Generalization Error for Linear Regression under Distributed Learning (2020)
- How to miss data? (2020)
- How to miss data? Reinforcement learning for environments with high observation cost (2020)
- Sparse Recovery with Non-Linear Fourier Features (2020)
- Deep reinforcement learning based energy beamforming for powering sensor networks (2019)
- Impact of communication frequency on remote control of automated vehicles (2018)
- Optimization vs. reinforcement learning for wirelessly powered sensor networks (2018)
- On the Resource Allocation Problem in Wireless Networked Control Systems (2017)