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Workshop
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
So Takao · Sean Nassimiha · Peter Dudfield · Jack Kelly · Marc Deisenroth
Workshop
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes
Sebastian Ober · David Burt · Artem Artemev · Mark van der Wilk
Poster
Wed 14:00 Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
Jordan Awan · Jinshuo Dong
Workshop
Deep Class-Conditional Gaussians for Continual Learning
Thomas Lee · Amos Storkey
Poster
Tue 9:00 Phase transitions in when feedback is useful
Lokesh Boominathan · Xaq Pitkow
Poster
Tue 9:00 Memory safe computations with XLA compiler
Artem Artemev · Yuze An · Tilman Roeder · Mark van der Wilk
Poster
Sparse Additive Gaussian Process Regression
Hengrui Luo · Giovanni Nattino · Matthew Pratola
Poster
Tue 14:00 Robust Model Selection and Nearly-Proper Learning for GMMs
Allen Liu · Jerry Li · Ankur Moitra
Poster
Tue 14:00 Gaussian Copula Embeddings
Chien Lu · Jaakko Peltonen