Juliusz Krysztof Ziomek

According to our database, Juliusz Krysztof Ziomek authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Just One Layer Norm Guarantees Stable Extrapolation.

Juliusz Ziomek, George Whittle, Michael A. Osborne

CoRR, May, 2025

Mean-Field Bayesian Optimisation.

Petar Steinberg, Juliusz Ziomek, Matej Jusup, Ilija Bogunovic

CoRR, February, 2025

Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation.

George Whittle, Juliusz Ziomek, Jacob Rawling, Michael A. Osborne

CoRR, February, 2025

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction.

Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Time-varying Gaussian Process Bandits with Unknown Prior.

Juliusz Ziomek, Masaki Adachi, Michael A. Osborne

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type.

Juliusz Ziomek, Masaki Adachi, Michael A. Osborne

CoRR, 2024

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal.

Juliusz Ziomek, Masaki Adachi, Michael A. Osborne

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

2023

Why Can Large Language Models Generate Correct Chain-of-Thoughts?

Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar

CoRR, 2023

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

Juliusz Krysztof Ziomek, Haitham Bou-Ammar

Proceedings of the International Conference on Machine Learning, 2023

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints.

David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training.

Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni

CoRR, 2022

Modelling nonlinear dependencies in the latent space of inverse scattering.

Juliusz Ziomek, Katayoun Farrahi

CoRR, 2022

Settling the Communication Complexity for Distributed Offline Reinforcement Learning.

Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang

CoRR, 2022

2021

GloSAT Historical Measurement Table Dataset: Enhanced Table Structure Recognition Annotation for Downstream Historical Data Rescue.

Juliusz Ziomek, Stuart Middleton

Proceedings of the HIP@ICDAR 2021: The 6th International Workshop on Historical Document Imaging and Processing, 2021