Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. - Nicola Branchini; Víctor Elvira (UAI, 2021)

Causal Entropy Optimization. - Nicola Branchini; Virginia Aglietti; Neil Dhir; Theodoros Damoulas (AISTATS, 2023)

Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. - Thomas Guilmeau; Nicola Branchini; Emilie Chouzenoux; Victor Elvira (AISTATS, 2024)

Variational Resampling. - Oskar Kviman; Nicola Branchini; Víctor Elvira; Jens Lagergren (AISTATS, 2024)

Causal Optimal Transport of Abstractions. - Yorgos Felekis; Fabio Massimo Zennaro; Nicola Branchini; Theodoros Damoulas (CLeaR, 2024)

Towards Adaptive Self-Normalized Importance Samplers. - Nicola Branchini; Víctor Elvira (SSP, 2025)

Scalable Expectation Estimation with Subtractive Mixture Models. - Lena Zellinger; Nicola Branchini; Víctor Elvira; Antonio Vergari (CoRR, 2025)