Mathematics & Optimization

PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Photometric Bundle Adjustment for Dense Multi-View 3D Modeling CVPR 2014 Piecewise Planar and Compact Floorplan Reconstruction from Images CVPR 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Predicting Useful Neighborhoods for Lazy Local Learning NeurIPS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction CVPR 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 Pseudoconvex Proximal Splitting for L-infty Problems in Multiview Geometry CVPR 2014 Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014 Putting MRFs on a Tensor Train ICML 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014