Mathematics & Optimization

Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017 Deterministic, Strategyproof, and Fair Cake Cutting IJCAI 2017 Differentiable Learning of Submodular Models NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Ordinary Least Squares ICML 2017 Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017 Diffusion Approximations for Online Principal Component Estimation and Global Convergence NeurIPS 2017 Dimension Estimation Using Random Connection Models JMLR 2017 Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017 Discovering Potential Correlations via Hypercontractivity NeurIPS 2017 Discriminative State Space Models NeurIPS 2017 Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Distributed Mean Estimation with Limited Communication ICML 2017 Diving into the shallows: a computational perspective on large-scale shallow learning NeurIPS 2017 Does Posh English Sound Attractive? Interspeech 2017 Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts IJCAI 2017 DOPE: Distributed Optimization for Pairwise Energies CVPR 2017 Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017 DPSCREEN: Dynamic Personalized Screening NeurIPS 2017 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017 Dueling Bandits with Weak Regret ICML 2017 DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction CVPR 2017 Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions NeurIPS 2017