Bryan Kian Hsiang Low

Automated Machine Learning (e.g., Bayesian optimization, active learning, meta-learning, neural architecture search)

Multi-Party Machine Learning (e.g., federated/distributed/collaborative learning, decentralized data fusion, privacy-preserving machine learning, incentives, trusted data sharing, data valuation)

Probabilistic Machine Learning (e.g., Bayesian deep learning, Bayesian non-parametric models)

Reinforcement Learning and Planning Under Uncertainty

Multi-Agent/Robot Systems