Mathematics

Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application ACML 2011 Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NeurIPS 2011 Mixed Cumulative Distribution Networks AISTATS 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 On the Estimation of α-Divergences AISTATS 2011 On Time Varying Undirected Graphs AISTATS 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011 Phase transition in the family of p-resistances NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Reconstructing Patterns of Information Diffusion from Incomplete Observations NeurIPS 2011 Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Semi-supervised Learning by Higher Order Regularization AISTATS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011