Acerbi, Luigi
- Learning Robust Statistics for Simulation-based Inference under Model Misspecification
2023/05/25 by Daolang Huang, Huang, Daolang, Ayush Bharti +7 · 9 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
- Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
2017/05/11 by Acerbi, Luigi, Ma, Wei Ji · 4 citations
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- Amortized Bayesian Experimental Design for Decision-Making
2024/11/04 by Daolang Huang, Yujia Guo, Huang, Daolang +5 · 2 voices · 5 citations
Decision Sciences · #Optimal Experimental Design Methods
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
2024/10/20 by Paul E. Chang, Chang, Paul E., Nasrulloh Loka +9 · 1 voice · 8 citations
Computer Science · Engineering · Mathematics · #Embedded Systems Design Techniques #Manufacturing Process and Optimization #Parallel Computing and Optimization Techniques #cs.LG #stat.ML
- Variational Bayesian Monte Carlo with Noisy Likelihoods
2020/06/15 by Luigi Acerbi, Acerbi, Luigi · 4 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #Statistical Methods and Inference
- Variational Bayesian Monte Carlo
2018/10/12 by Luigi Acerbi, Acerbi, Luigi · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- Tackling covariate shift with node-based Bayesian neural networks
2022/06/06 by Trung Trinh, Markus Heinonen, Trinh, Trung +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- PyBADS: Fast and robust black-box optimization in Python
2023/06/27 by Singh, Gurjeet Sangra, Acerbi, Luigi · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Amortized Bayesian Workflow
2024/09/06 by Chengkun Li, Aki Vehtari, Li, Chengkun +10 · 3 voices · 1 citation
Decision Sciences · #Scientific Computing and Data Management
- Dynamic allocation of limited memory resources in reinforcement learning
2020/11/12 by Patel, Nisheet, Acerbi, Luigi, Pouget, Alexandre · 1 citation
#FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
- Practical Equivariances via Relational Conditional Neural Processes
2023/06/19 by Daolang Huang, Huang, Daolang, Manuel Haußmann +13 · 1 citation
Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- Online simulator-based experimental design for cognitive model selection
2023/03/03 by Aushev, Alexander, Putkonen, Aini, Clarte, Gregoire +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Improving robustness to corruptions with multiplicative weight perturbations
2024/06/24 by Trung Trinh, Trinh, Trung, Markus Heinonen +5 · 1 citation
Social Sciences · #Corruption and Economic Development
- Preferential Normalizing Flows
2024/10/11 by Petrus Mikkola, Luigi Acerbi, Mikkola, Petrus +3 · 1 voice · 2 citations
Engineering · Decision Sciences · #cs.LG #stat.ML
- ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
2025/06/08 by Daolang Huang, Huang, Daolang, Ayush Bharti +6 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms