WA4a.3

Meta-learning Gaussian Process Priors Using Non-stationary Spectral Features

Yilang Zhang, University of Minnesota, United States; Qin Lu, University of Georgia, United States; Panagiotis Traganitis, Michigan State University, United States; Georgios Giannakis, University of Minnesota, United States
Session:
WA4a: Probabilistic Methods for Machine Learning and Signal Processing Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Wed, 29 Oct, 09:05 - 09:30 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session WA4a
WA4a.1: Online Inference of Causal Models Under Interventions
Kurt Butler, The University of Edinburgh, United Kingdom; Guanchao Feng, Petar Djuric, Stony Brook University, United States
WA4a.2: New Challenges and Opportunities of Multi-Agent AI
Fangqiao Tian, Jie Ding, University of Minnesota, United States
WA4a.3: Meta-learning Gaussian Process Priors Using Non-stationary Spectral Features
Yilang Zhang, University of Minnesota, United States; Qin Lu, University of Georgia, United States; Panagiotis Traganitis, Michigan State University, United States; Georgios Giannakis, University of Minnesota, United States
WA4a.4: Safe Sampling via Optimal Control of Diffusion Processes
Nicolas Zilberstein, Santiago Segarra, Rice University, United States; Luiz Chamon, École polytechnique, France
Contacts