Luigi Acerbi
14 papers · 2014–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏆
Keyword Champion
🧬
Topic Evolution
🗃️
Keyword Collector
(72)
💎
Century Club
(14)
Conferences
NIPS (10)
AISTATS (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
bayesian inference
(5)
gaussian process
(3)
experimental design
(2)
gaussian process surrogate
(2)
corruption robustness
(1)
model misspecification
(1)
reward modeling
(1)
data augmentation
(1)
variational inference
(1)
model fitting
(1)
epistemic uncertainty
(1)
markov chain monte carlo
(1)
probability distribution
(1)
parallel computing
(1)
covariate shift
(1)
uncertainty quantification
(1)
maximum a posteriori
(1)
probabilistic modeling
(1)
resource allocation
(1)
image classification
(1)
Papers
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
AISTATS 2025
Input-gradient space particle inference for neural network ensembles
ICLR 2024
Improving robustness to corruptions with multiplicative weight perturbations
NIPS 2024
Preferential Normalizing Flows
NIPS 2024
Amortized Bayesian Experimental Design for Decision-Making
NIPS 2024
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
NIPS 2023
Practical Equivariances via Relational Conditional Neural Processes
NIPS 2023
Tackling covariate shift with node-based Bayesian neural networks
ICML 2022
Parallel MCMC Without Embarrassing Failures
AISTATS 2022
Variational Bayesian Monte Carlo with Noisy Likelihoods
NIPS 2020
Dynamic allocation of limited memory resources in reinforcement learning
NIPS 2020
Variational Bayesian Monte Carlo
NIPS 2018
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
NIPS 2017
A Framework for Testing Identifiability of Bayesian Models of Perception
NIPS 2014