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Desi R. Ivanova
Desi R. Ivanova
Outros nomesDesislava Ivanova, Desi Ivanova
University of Oxford
E-mail confirmado em stats.ox.ac.uk - Página inicial
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Citado por
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Modern Bayesian experimental design
T Rainforth, A Foster, DR Ivanova, F Bickford Smith
Statistical Science 39 (1), 100-114, 2024
1042024
Deep adaptive design: Amortizing sequential bayesian experimental design
A Foster, DR Ivanova, I Malik, T Rainforth
International Conference on Machine Learning, 3384-3395, 2021
1002021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
DR Ivanova, A Foster, S Kleinegesse, MU Gutmann, T Rainforth
Advances in Neural Information Processing Systems 34, 25785-25798, 2021
632021
Differentiable multi-target causal bayesian experimental design
P Tigas, Y Annadani, DR Ivanova, A Jesson, Y Gal, A Foster, S Bauer
International Conference on Machine Learning, 34263-34279, 2023
132023
Leveraging self-consistency for data-efficient amortized bayesian inference
M Schmitt, DR Ivanova, D Habermann, U Köthe, PC Bürkner, ST Radev
arXiv preprint arXiv:2310.04395, 2023
92023
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
DR Ivanova, M Hedman, C Guan, T Rainforth
ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR), 2024
62024
Differentiable Multi-Target Causal Bayesian Experimental Design
Y Annadani, P Tigas, DR Ivanova, A Jesson, Y Gal, A Foster, S Bauer
arXiv preprint arXiv:2302.10607, 2023
52023
CO-BED: Information-theoretic contextual optimization via Bayesian experimental design
DR Ivanova, J Jennings, T Rainforth, C Zhang, A Foster
Proceedings of the 40th International Conference on Machine Learning, 14445 …, 2023
42023
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation
DR Ivanova, J Jennings, C Zhang, A Foster
arXiv preprint arXiv:2207.05250, 2022
32022
Data-Efficient Variational Mutual Information Estimation via Bayesian Self-Consistency
DR Ivanova, M Schmitt, ST Radev
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024
22024
Position: Don't use the CLT in LLM evals with fewer than a few hundred datapoints
S Bowyer, L Aitchison, DR Ivanova
arXiv preprint arXiv:2503.01747, 2025
2025
Towards more rigorous evaluations of language models
DR Ivanova, I Ilievski, M Konstantinov
The Fourth Blogpost Track at ICLR 2025, 2025
2025
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
J Fawkes, L Ter-Minassian, DR Ivanova, U Shalit, C Holmes
arXiv preprint arXiv:2409.07215, 2024
2024
Automated data acquisition via Bayesian experimental design
DR Ivanova
University of Oxford, 2024
2024
Efficient computer-implemented real-world testing of causal inference models
AE Foster, C Zhang, DR Ivanova, JN Jennings
US Patent App. 18/051,324, 2023
2023
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