• Implement Bayesian Unlearning
• Bayesian Neural Network Pruning:Study the accuracy and calibration of pruned BNN models.
• Implement Stein VI in JAX: https://arxiv.org/abs/1608.04471
• Automatic kernel combinations for GPs https://peterroelants.github.io/posts/gaussian-process-kernels/
• Deep GPs for energy disaggregation: http://inverseprobability.com/talks/notes/deep-gaussian-processes.html
• Deep GPs for air quality
• Bayesian Neural Nets for air quality
• Active learning for energy disaggregation
• Bayesian air quality forecasting
• Implement techniques from Laplace-Redux paper in BiJAX
• How good is Automatic Differentiation Laplace Approximation (Laplace Approximation with change of variables)?
• How good is Low-rank VI approximation? check on standard UCI datasets using bijax or self-code.
• Conditional neural processes for energy disaggregation
• Conditional neural processes for air quality