Acerbi, Luigi

20 publications

TMLR 2026 Amortized Bayesian Workflow Chengkun Li, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt
NeurIPS 2025 ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
AISTATS 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
ICLRW 2025 Inference-Time Prior Adaptation in Simulation-Based Inference via Guided Diffusion Models Paul Edmund Chang, Severi Rissanen, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Luigi Acerbi
TMLR 2025 Stacking Variational Bayesian Monte Carlo Francesco Silvestrin, Chengkun Li, Luigi Acerbi
NeurIPS 2024 Amortized Bayesian Experimental Design for Decision-Making Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
NeurIPSW 2024 Amortized Bayesian Workflow (Extended Abstract) Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev
NeurIPSW 2024 Amortized Decision-Aware Bayesian Experimental Design Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
NeurIPS 2024 Improving Robustness to Corruptions with Multiplicative Weight Perturbations Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
ICLR 2024 Input-Gradient Space Particle Inference for Neural Network Ensembles Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
NeurIPS 2024 Preferential Normalizing Flows Petrus Mikkola, Luigi Acerbi, Arto Klami
NeurIPS 2023 Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski
NeurIPS 2023 Practical Equivariances via Relational Conditional Neural Processes Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Luck, Samuel Kaski, Luigi Acerbi
AISTATS 2022 Parallel MCMC Without Embarrassing Failures Daniel A. De Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
ICML 2022 Tackling Covariate Shift with Node-Based Bayesian Neural Networks Trung Q Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
NeurIPS 2020 Dynamic Allocation of Limited Memory Resources in Reinforcement Learning Nisheet Patel, Luigi Acerbi, Alexandre Pouget
NeurIPS 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi
NeurIPS 2018 Variational Bayesian Monte Carlo Luigi Acerbi
NeurIPS 2017 Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search Luigi Acerbi, Wei Ji Ma
NeurIPS 2014 A Framework for Testing Identifiability of Bayesian Models of Perception Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar