Optimized Auxiliary Particle Filters: adapting mixture proposals via convex optimization N Branchini, V Elvira Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021 | 30* | 2021 |
Causal Entropy Optimization N Branchini, V Aglietti, N Dhir, T Damoulas International Conference on Artificial Intelligence and Statistics, 8586-8605, 2023 | 15 | 2023 |
Causal Optimal Transport of Abstractions Y Felekis, FM Zennaro, N Branchini, T Damoulas CLeaR (Conference in Causal Learning and Reasoning) 2024, 2023 | 7 | 2023 |
An adaptive mixture view of particle filters N Branchini, V Elvira Foundations of Data Science, 2024 | 3 | 2024 |
Variational Resampling O Kviman, N Branchini, V Elvira, J Lagergen International Conference on Artificial Intelligence and Statistics, 3871-3879, 2024 | 3 | 2024 |
Adaptive importance sampling for heavy-tailed distributions via -divergence minimization T Guilmeau*, N Branchini*, E Chouzenoux, V Elvira International Conference on Artificial Intelligence and Statistics, 3871-3879, 2024 | 3 | 2024 |
Generalizing self-normalized importance sampling with couplings N Branchini, V Elvira arXiv preprint arXiv:2406.19974, 2024 | 1 | 2024 |
The role of tail dependence in estimating posterior expectations N Branchini, V Elvira NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024 | | 2024 |
Improved Auxiliary Particle Filters (MSc Thesis) N Branchini University of Edinburgh, 2020 | | 2020 |