Theory

The limits of squared Euclidean distance regularization NeurIPS 2014 Groupwise Registration via Graph Shrinkage on the Image Manifold CVPR 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit CVPR 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 On the Convergence Properties of Contrastive Divergence AISTATS 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010 Tight Sample Complexity of Large-Margin Learning NeurIPS 2010 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007