Mathematics

A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 Active Learning for Undirected Graphical Model Selection AISTATS 2014 Adaptive Monte Carlo via Bandit Allocation ICML 2014 Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 A Fast and Robust Algorithm to Count Topologically Persistent Holes in Noisy Clouds CVPR 2014 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold AISTATS 2014 An inclusion optimal algorithm for chain graph structure learning AISTATS 2014 An Information Geometry of Statistical Manifold Learning ICML 2014 Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow ICML 2014 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 A Representation Theory for Ranking Functions NeurIPS 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform CVPR 2014 A* Sampling NeurIPS 2014 A Statistical Model for Event Sequence Data AISTATS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Axioms for Graph Clustering Quality Functions JMLR 2014 Bayesian Entropy Estimation for Countable Discrete Distributions JMLR 2014 Bio-Artificial Synergies for Grasp Posture Control of Supernumerary Robotic Fingers RSS 2014 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014