Mathematics & Optimization

Information Complexity in Bandit Subset Selection COLT 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Joint Geodesic Upsampling of Depth Images CVPR 2013 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization RSS 2013 Kinodynamic Planning in the Configuration Space via Admissible Velocity Propagation RSS 2013 k-Prototype Learning for 3D Rigid Structures NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Large-scale SVD and Manifold Learning JMLR 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching COLT 2013 Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning Policies for Contextual Submodular Prediction ICML 2013 Learning Prices for Repeated Auctions with Strategic Buyers NeurIPS 2013