Mathematics & Optimization

Inference via Low-Dimensional Couplings JMLR 2018 Inferring Networks From Random Walk-Based Node Similarities NeurIPS 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 In-Hand Manipulation via Motion Cones RSS 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Integrating Demand Response and Renewable Energy In Wholesale Market IJCAI 2018 Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer MLHC 2018 Integration complexity and the order of cosisters EMNLP 2018 Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph SemEval 2018 ITER: Improving Translation Edit Rate through Optimizable Edit Costs EMNLP 2018 Joint Cuts and Matching of Partitions in One Graph CVPR 2018 Joint Reasoning for Temporal and Causal Relations ACL 2018 Katyusha: The First Direct Acceleration of Stochastic Gradient Methods JMLR 2018 Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018 Kernel Conditional Exponential Family AISTATS 2018 Kernel Density Estimation for Dynamical Systems JMLR 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018 Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018 Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018 KIPPI: KInetic Polygonal Partitioning of Images CVPR 2018 KONG: Kernels for ordered-neighborhood graphs NeurIPS 2018 Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018 Langevin Monte Carlo and JKO splitting COLT 2018