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ORCIDJuliusz Krysztof Ziomek
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2020 – today
- 2024
[i7]Juliusz Ziomek, Masaki Adachi, Michael A. Osborne:
Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type. CoRR abs/2402.01632 (2024)- 2023
- [c3]David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR 2023 - [c2]Juliusz Krysztof Ziomek, Haitham Bou-Ammar:
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023: 43347-43368 - [i6]Juliusz Ziomek, Haitham Bou-Ammar:
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? CoRR abs/2301.12844 (2023) - [i5]Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar:
Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR abs/2310.13571 (2023) - 2022
- [i4]Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang:
Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR abs/2202.04862 (2022) - [i3]Juliusz Ziomek, Katayoun Farrahi
:
Modelling nonlinear dependencies in the latent space of inverse scattering. CoRR abs/2203.10307 (2022) - [i2]David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR abs/2205.15953 (2022) - [i1]Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR abs/2209.01054 (2022) - 2021
- [c1]Juliusz Ziomek, Stuart Middleton:
GloSAT Historical Measurement Table Dataset: Enhanced Table Structure Recognition Annotation for Downstream Historical Data Rescue. HIP@ICDAR 2021: 49-54
Coauthor Index
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