Statistical Learning
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Eric Price, Alistair Stewart
Neural Information Processing Systems http://nips.cc/
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder, Bjarne Sievers
Neural Information Processing Systems http://nips.cc/
On the Power of SVD in Clustering Problems
In many applications, the number of features could be very large.
On the Power of SVD in the Stochastic Block Model
A popular heuristic method for improving clustering results is to apply dimensionality reduction before running clustering algorithms.
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason, Ardhendu Tripathy, Robert Nowak
Neural Information Processing Systems http://nips.cc/
Neural Temporal-Difference Learning Converges to Global Optima
Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
TD converges at a sublinear rate to the global optimum of the mean-squared projected Bellman error for policy evaluation.
Block Coordinate Regularization by Denoising
Yu Sun, Jiaming Liu, Ulugbek Kamilov
Neural Information Processing Systems http://nips.cc/