Mathematics & Optimization

Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves CVPR 2018 Recurrent World Models Facilitate Policy Evolution NeurIPS 2018 Reduced Cost Fixing for Maximum Satisfiability IJCAI 2018 Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure COLT 2018 Reducing Controversy by Connecting Opposing Views IJCAI 2018 Reducing Crowdsourcing to Graphon Estimation, Statistically AISTATS 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Regional Multi-Armed Bandits AISTATS 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 Reinforcement Learning for Solving the Vehicle Routing Problem NeurIPS 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 Relevance in Structured Argumentation IJCAI 2018 Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018 Representations of Bayesian networks by low-rank models PGM 2018 Representation Tradeoffs for Hyperbolic Embeddings ICML 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 ResQ: Enabling SLOs in Network Function Virtualization NSDI 2018 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NeurIPS 2018 RetGK: Graph Kernels based on Return Probabilities of Random Walks NeurIPS 2018 Reverse Iterative Volume Sampling for Linear Regression JMLR 2018 Revisiting Decomposable Submodular Function Minimization with Incidence Relations NeurIPS 2018 Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018