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Theory

1072 directly classified papers

Papers per year

Papers

On the Quality of the Initial Basin in Overspecified Neural Networks ICML 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions ICML 2016
Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015
A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NIPS 2014
On the Computational Efficiency of Training Neural Networks NIPS 2014
Altitude Training: Strong Bounds for Single-Layer Dropout NIPS 2014
Signal recovery from Pooling Representations ICML 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013
Groupwise Registration via Graph Shrinkage on the Image Manifold CVPR 2013
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit CVPR 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Shallow vs. Deep Sum-Product Networks NIPS 2011
Tight Sample Complexity of Large-Margin Learning NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010
On the Convergence Properties of Contrastive Divergence AISTATS 2010
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007