Statistical Learning
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant, James Y. Zou
Neural Information Processing Systems http://nips.cc/
Quantum Embedding of Knowledge for Reasoning
Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam
Neural Information Processing Systems http://nips.cc/
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
Deep neural networks behind state-of-the-art results in image classification and other domains have one thing in common: their size.
Iterative Least Trimmed Squares for Mixed Linear Regression
Our objective is again to recover all (or some, or one) of them from the samples. In this paper, we consider MLR with the additional presence of corruptions - i.e. adversarial additive errors in the
Transfer Learning via Minimizing the Performance Gap Between Domains
Boyu Wang, Jorge Mendez, Mingbo Cai, Eric Eaton
Neural Information Processing Systems http://nips.cc/
Implicit Regularization of Accelerated Methods in Hilbert Spaces
Nicolò Pagliana, Lorenzo Rosasco
Our theoretical results are validated by numerical simulations. Our analysis is based on studying suitable polynomials induced by the accelerated dynamics and combining spectral techniques with concentration inequalities.
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian, Long Zhao, Xi Peng, Dimitris Metaxas
Neural Information Processing Systems http://nips.cc/
On the Inductive Bias of Neural Tangent Kernels
Neural Information Processing Systems http://nips.cc/
Ultra Fast Medoid Identification via Correlated Sequential Halving
Neural Information Processing Systems http://nips.cc/