| MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records | Dec 8, 2019 | AttributePoint Processes | CodeCode Available | 0 |
| Learning Positive Functions with Pseudo Mirror Descent | Dec 1, 2019 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Thinning for Accelerating the Learning of Point Processes | Dec 1, 2019 | Point ProcessesStochastic Optimization | —Unverified | 0 |
| On two ways to use determinantal point processes for Monte Carlo integration | Dec 1, 2019 | Numerical IntegrationPoint Processes | CodeCode Available | 0 |
| Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes | Dec 1, 2019 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Mutually Regressive Point Processes | Dec 1, 2019 | Bayesian InferencePoint Processes | CodeCode Available | 0 |
| Intermittent Demand Forecasting with Deep Renewal Processes | Nov 23, 2019 | Demand ForecastingPoint Processes | CodeCode Available | 0 |
| Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction | Nov 12, 2019 | Point Processes | —Unverified | 0 |
| Adaptive Sampling for Stochastic Risk-Averse Learning | Oct 28, 2019 | Point Processes | CodeCode Available | 0 |
| Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling | Oct 25, 2019 | Point Processes | —Unverified | 0 |
| Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations | Oct 24, 2019 | Document SummarizationExtractive Summarization | —Unverified | 0 |
| Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks | Oct 23, 2019 | Point ProcessesScheduling | —Unverified | 0 |
| Better Approximate Inference for Partial Likelihood Models with a Latent Structure | Oct 22, 2019 | Point ProcessesSurvival Analysis | —Unverified | 0 |
| Sequential Adversarial Anomaly Detection for One-Class Event Data | Oct 21, 2019 | Anomaly DetectionPoint Processes | —Unverified | 0 |
| Point Process Flows | Oct 18, 2019 | Point Processes | —Unverified | 0 |
| Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method | Oct 13, 2019 | DiversityPoint Processes | —Unverified | 0 |
| Intensity-Free Learning of Temporal Point Processes | Sep 26, 2019 | Point Processes | CodeCode Available | 0 |
| In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes | Sep 24, 2019 | Abstractive Text SummarizationDiversity | CodeCode Available | 0 |
| Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions | Sep 23, 2019 | Dynamic Link PredictionLink Prediction | CodeCode Available | 0 |
| ChOracle: A Unified Statistical Framework for Churn Prediction | Sep 15, 2019 | Binary ClassificationPoint Processes | —Unverified | 0 |
| Computer Assisted Composition in Continuous Time | Sep 10, 2019 | Point ProcessesRhythm | —Unverified | 0 |
| Black-box constructions for exchangeable sequences of random multisets | Aug 17, 2019 | Point Processes | —Unverified | 0 |
| Diverse Trajectory Forecasting with Determinantal Point Processes | Jul 11, 2019 | Autonomous VehiclesDiversity | —Unverified | 0 |
| Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm | Jul 6, 2019 | 2kDiversity | —Unverified | 0 |
| Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information | Jun 21, 2019 | MarketingPoint Processes | —Unverified | 0 |
| Batch Active Learning Using Determinantal Point Processes | Jun 19, 2019 | Active LearningDiversity | CodeCode Available | 0 |
| Imitation Learning of Neural Spatio-Temporal Point Processes | Jun 13, 2019 | Computational EfficiencyImitation Learning | CodeCode Available | 0 |
| From asymptotic properties of general point processes to the ranking of financial agents | Jun 12, 2019 | Point Processes | —Unverified | 0 |
| Bayesian experimental design using regularized determinantal point processes | Jun 10, 2019 | Experimental DesignPoint Processes | CodeCode Available | 0 |
| Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | May 31, 2019 | DecoderDocument Summarization | CodeCode Available | 0 |
| Exact sampling of determinantal point processes with sublinear time preprocessing | May 31, 2019 | Point Processes | CodeCode Available | 0 |
| Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns | May 31, 2019 | Point ProcessesTwo-sample testing | —Unverified | 0 |
| Nyström landmark sampling and regularized Christoffel functions | May 29, 2019 | DiversityPoint Processes | —Unverified | 0 |
| Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering | May 29, 2019 | ClusteringPoint Processes | —Unverified | 0 |
| Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes | May 29, 2019 | Point Processes | —Unverified | 0 |
| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 |
| Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks | May 22, 2019 | Citation PredictionPoint Processes | CodeCode Available | 0 |
| Learning Diverse Generations using Determinantal Point Processes | May 1, 2019 | DiversityPoint Processes | —Unverified | 0 |
| A Variational Auto-Encoder Model for Stochastic Point Processes | Apr 5, 2019 | Point Processes | —Unverified | 0 |
| A topological data analysis based classification method for multiple measurements | Apr 5, 2019 | Classificationfeature selection | CodeCode Available | 0 |
| Personalized Bundle List Recommendation | Apr 3, 2019 | DecoderDiversity | —Unverified | 0 |
| Deep Random Splines for Point Process Intensity Estimation | Mar 27, 2019 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Asynchronous Ad Hoc Networks with Wireless Powered Cognitive Communications | Mar 26, 2019 | Point Processes | —Unverified | 0 |
| Market Making under a Weakly Consistent Limit Order Book Model | Mar 18, 2019 | Point Processes | —Unverified | 0 |
| Deep Random Splines for Point Process Intensity Estimation of Neural Population Data | Mar 6, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Gaussian Process Modulated Cox Processes under Linear Inequality Constraints | Feb 28, 2019 | Point Processes | —Unverified | 0 |
| Scattering Statistics of Generalized Spatial Poisson Point Processes | Feb 10, 2019 | Point Processes | —Unverified | 0 |
| Spatial-Temporal-Textual Point Processes for Crime Linkage Detection | Feb 1, 2019 | Point Processes | —Unverified | 0 |
| DPPNet: Approximating Determinantal Point Processes with Deep Networks | Jan 7, 2019 | DiversityPoint Processes | —Unverified | 0 |
| Statistical learning of geometric characteristics of wireless networks | Dec 19, 2018 | Point Processesregression | —Unverified | 0 |