Mathematics & Optimization

The Feature Selection Path in Kernel Methods AISTATS 2010 The Group Dantzig Selector AISTATS 2010 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis RSS 2010 Throttling Poisson Processes NeurIPS 2010 t-logistic regression NeurIPS 2010 Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Why are some word orders more common than others? A uniform information density account NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 Accelerated Gradient Methods for Stochastic Optimization and Online Learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 Adaptive False Discovery Rate Control under Independence and Dependence JMLR 2009 Adaptive relative bundle adjustment RSS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009