Statistical Learning
Learning-Based Low-Rank Approximations
Piotr Indyk, Ali Vakilian, Yang Yuan
Neural Information Processing Systems http://nips.cc/
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash
Among them, quantum machine learning is one of the most exciting applications of quantum computers.
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression
Real-valued linear prediction is a fundamental problem in machine learning.
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Neural Information Processing Systems http://nips.cc/
Visualizing and Measuring the Geometry of BERT
Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viegas, Andy Coenen, Adam Pearce, Been Kim
Neural Information Processing Systems http://nips.cc/
CodedResidualTransformforGeneralizableDeep MetricLearning
Afundamental challenge indeep metric learning isthegeneralization capability of the feature embedding network model since the embedding network learned ontraining classes needtobeevaluated onnewtestclasses.