Methods

Functional Isolation Forest ACML 2019 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction AAAI 2019 Graph Resistance and Learning from Pairwise Comparisons ICML 2019 GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NeurIPS 2019 GSN: A Graph-Structured Network for Multi-Party Dialogues IJCAI 2019 GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction IJCAI 2019 High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NeurIPS 2019 Hydra: a federated resource manager for data-center scale analytics NSDI 2019 Identifying Predictive Causal Factors from News Streams EMNLP 2019 Joint Link Prediction and Network Alignment via Cross-graph Embedding IJCAI 2019 Kernels for Sequentially Ordered Data JMLR 2019 k-Means Clustering of Lines for Big Data NeurIPS 2019 Learning-Based Frequency Estimation Algorithms ICLR 2019 Learning Distance for Sequences by Learning a Ground Metric ICML 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019 Learning Representations for Time Series Clustering NeurIPS 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Learning Vine Copula Models for Synthetic Data Generation AAAI 2019 Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest IJCAI 2019 Listener Preference on the Local Criterion for Ideal Binary-Masked Speech Interspeech 2019 Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis JMLR 2019 MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment CVPR 2019