FastBO: Fast HPO and NAS with Adaptive Fidelity Identification
Hyperparameter optimization (HPO) and neural architecture search (NAS) are powerful in
attaining state-of-the-art machine learning models, with Bayesian optimization (BO) standing …
attaining state-of-the-art machine learning models, with Bayesian optimization (BO) standing …
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference
Probabilistic graphical models (PGMs) serve as a powerful framework for modeling complex
systems with uncertainty and extracting valuable insights from data. However, users face …
systems with uncertainty and extracting valuable insights from data. However, users face …
[PDF][PDF] Explaining deep neural networks to establish trust
P Yang - 2024 - research-repository.uwa.edu.au
Explaining Deep Neural Networks to Establish Trust Page 1 Explaining Deep Neural Networks
to Establish Trust Peiyu Yang This thesis is presented for the degree of Doctor of Philosophy of …
to Establish Trust Peiyu Yang This thesis is presented for the degree of Doctor of Philosophy of …
Efficient automatic probabilistic graphical model learning and inference
J Jiang - 2024 - research-repository.uwa.edu.au
Probabilistic graphical models (PGMs) serve as a powerful framework for modeling complex
systemsunder uncertainty, finding widespread application across domains such as …
systemsunder uncertainty, finding widespread application across domains such as …