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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