Mathematics & Optimization

The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 The Perturbed Variation NeurIPS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 Toward Information Theoretic Human-Robot Dialog RSS 2012 Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012 Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology RSS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Unified Algorithms for Online Learning and Competitive Analysis COLT 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Using More Data to Speed-up Training Time AISTATS 2012 Variable Selection for Gaussian Graphical Models AISTATS 2012 Volume Regularization for Binary Classification NeurIPS 2012