conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Variable Selection for Gaussian Graphical Models AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Data dependent kernels in nearly-linear time AISTATS 2012
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Max-Margin Min-Entropy Models AISTATS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Bayesian Group Factor Analysis AISTATS 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012
Multi-label Subspace Ensemble AISTATS 2012
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Refinement of Operator-valued Reproducing Kernels JMLR 2012
NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
Minimax Manifold Estimation JMLR 2012