Desi R. Ivanova

According to our database, Desi R. Ivanova authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.

Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Modern Bayesian Experimental Design.

Tom Rainforth, Adam Foster, Desi R. Ivanova, Freddie Bickford Smith

CoRR, 2023

Differentiable Multi-Target Causal Bayesian Experimental Design.

Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer

Proceedings of the International Conference on Machine Learning, 2023

CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design.

Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster

Proceedings of the International Conference on Machine Learning, 2023

2022

Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation.

Desi R. Ivanova, Joel Jennings, Cheng Zhang, Adam Foster

CoRR, 2022

2021

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods.

Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design.

Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth

Proceedings of the 38th International Conference on Machine Learning, 2021