Statistical Learning
Robust Principal Component Analysis with Adaptive Neighbors
In reality, the presence of outliers in data largely reduces the performance of PCA approaches.
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Many learning tasks can find their counterpart problems in control fields.
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska, David Lopez-Paz
These certificates map out-of-distribution examples to non-zero values, signaling epistemic uncertainty.
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Aditya Bhaskara, Sharvaree Vadgama, Hong Xu
Neural Information Processing Systems http://nips.cc/