Mathematics & Optimization

Computationally Efficient Nyström Approximation using Fast Transforms ICML 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Conformal Surface Alignment With Optimal Mobius Search CVPR 2016 Consensus of Non-Rigid Reconstructions CVPR 2016 Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables JMLR 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Context-Sensitive Inference Rule Discovery: A Graph-Based Method COLING 2016 Contextual semibandits via supervised learning oracles NeurIPS 2016 Control Functionals for Quasi-Monte Carlo Integration AISTATS 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Controlling the distance to a Kemeny consensus without computing it ICML 2016 Convergence guarantees for kernel-based quadrature rules in misspecified settings NeurIPS 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016 Cooperative Graphical Models NeurIPS 2016 Coordinated and Efficient Huge Page Management with Ingens OSDI 2016 Coordinate-wise Power Method NeurIPS 2016 Coordinating Multiple Disparity Proposals for Stereo Computation CVPR 2016 Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm ICML 2016 Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016