Scholar
Kaiwen Wu
Google Scholar ID: 8e0BclUAAAAJ
University of Pennsylvania
Citations & Impact
Citations
247
H-index
8
i10-index
8
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier conferences including ICML, NeurIPS, and AISTATS
- Paper 'Local Bayesian Optimization via Maximizing Probability of Descent' received an Oral Presentation at NeurIPS 2022
- Paper 'The Behavior and Convergence of Local Bayesian Optimization' received a Spotlight Presentation at NeurIPS 2023
- Served (or will serve) as reviewer for major conferences (ICML, NeurIPS, ICLR, AAAI, AISTATS) and journals (TMLR, JMLR)
- Authored preprints and workshop papers, e.g., 'Mixed Likelihood Variational Gaussian Processes' (arXiv:2503.04138)
Background
- Fifth-year PhD student in the Department of Computer and Information Science at the University of Pennsylvania
- Research interests include machine learning and optimization
- Recent work focuses on scaling up computation in probabilistic machine learning
- Specifically works on Gaussian processes, variational inference, and Bayesian optimization
- Also interested in convex optimization and deep generative modeling
Co-authors