Mathematics

Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Structure Learning for Optimization NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 An Exponential Model for Infinite Rankings JMLR 2010 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation JMLR 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Composite Binary Losses JMLR 2010 Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Evaluating neuronal codes for inference using Fisher information NeurIPS 2010