Luigi Acerbi
14 papers · 2014–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Keyword Champion (2)
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Keyword Collector
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Venues
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Research topics
Machine Learning
(13)
Optimization & Theory
(10)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Deep Learning
(3)
Application Areas
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Cognitive Science
(1)
Core AI
(1)
Keywords
bayesian inference
(5)
gaussian process
(3)
simulation-based inference
(2)
covariate shift
(2)
amortized inference
(2)
bayesian optimization
(2)
experimental design
(2)
gaussian process surrogate
(2)
model misspecification
(1)
corruption robustness
(1)
reward modeling
(1)
markov chain monte carlo
(1)
model fitting
(1)
parallel computing
(1)
data augmentation
(1)
variational inference
(1)
maximum a posteriori
(1)
epistemic uncertainty
(1)
resource allocation
(1)
probability distribution
(1)
Papers
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
AISTATS 2025
Amortized Bayesian Experimental Design for Decision-Making
NeurIPS 2024
Improving robustness to corruptions with multiplicative weight perturbations
NeurIPS 2024
Input-gradient space particle inference for neural network ensembles
ICLR 2024
Preferential Normalizing Flows
NeurIPS 2024
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
NeurIPS 2023
Practical Equivariances via Relational Conditional Neural Processes
NeurIPS 2023
Parallel MCMC Without Embarrassing Failures
AISTATS 2022
Tackling covariate shift with node-based Bayesian neural networks
ICML 2022
Dynamic allocation of limited memory resources in reinforcement learning
NeurIPS 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods
NeurIPS 2020
Variational Bayesian Monte Carlo
NeurIPS 2018
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
NeurIPS 2017
A Framework for Testing Identifiability of Bayesian Models of Perception
NeurIPS 2014