conftrace_

high-dimensional analysis

33 papers

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Co-occurring keywords

neural network (6616) stochastic gradient descent (1091) generalization error (285) feature selection (649) convex optimization (1321) high-dimensional regression (142) stochastic differential equation (181) high-dimensional statistics (145) learning theory (519) kernel ridge regression (111)

Papers

The Scaling Limit of High-Dimensional Online Independent Component Analysis NIPS 2017
Guarding against Spurious Discoveries in High Dimensions JMLR 2016
A General Framework for Consistency of Principal Component Analysis JMLR 2016
Dirty Statistical Models NIPS 2013
Marginal Regression For Multitask Learning AISTATS 2012
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NIPS 2010
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers NIPS 2009
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008