Statistical Learning
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent LE GUEN, Nicolas THOME
Neural Information Processing Systems http://nips.cc/
Regularized Gradient Boosting
Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
Neural Information Processing Systems http://nips.cc/
Learning nonlinear level sets for dimensionality reduction in function approximation
Guannan Zhang, Jiaxin Zhang, Jacob Hinkle
Neural Information Processing Systems http://nips.cc/
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi, Hamed Hassani, Aryan Mokhtari, Zebang Shen
Neural Information Processing Systems http://nips.cc/
SQ Lower Bounds for Learning Mixtures of Linear Classifiers
We study the problem of learning mixtures of linear classifiers under Gaussian covariates.