Welcome to DSSl @ CSU
Slides
Potential topics for the semester:
- Adversarial/robust learning
- Bayesian network and causal inference
- Boltzman machine
- Cross validation
- Conformal prediction (and/or knock off)
- Differential privacy
- Graphical modeling
- Statistical understanding on neural networks: AMP, double descent, mean field, RF model
- Inference and prediction using distributed optimization
- Topic learning and mining
- Tensor regression and modeling
- Other suggestions?