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05/23/2023
Cost-aware learning of relevant contextual variables within Bayesian optimization
Contextual Bayesian Optimization (CBO) is a powerful framework for optim...
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10/25/2022
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Bayesian optimization (BO) is a powerful framework for optimizing black-...
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08/18/2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
Bayesian optimization (BO) is a well-established method to optimize blac...
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01/28/2022
Approximate Bayesian Computation with Domain Expert in the Loop
Approximate Bayesian computation (ABC) is a popular likelihood-free infe...
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06/08/2021
Targeted Active Learning for Bayesian Decision-Making
Active learning is usually applied to acquire labels of informative data...
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06/23/2020
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains
Non-negative matrix factorization (NMF) has become a well-established cl...
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03/15/2019
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
We propose a novel ranking model that combines the Bradley-Terry-Luce pr...
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12/17/2018
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Binary data matrices can represent many types of data such as social net...
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01/05/2018