| Lazy and Fast Greedy MAP Inference for Determinantal Point Process | Jun 13, 2022 | Point Processes | CodeCode Available | 0 |
| VAC2: Visual Analysis of Combined Causality in Event Sequences | Jun 11, 2022 | Causal DiscoveryDecision Making | —Unverified | 0 |
| Causal Discovery in Hawkes Processes by Minimum Description Length | Jun 10, 2022 | Causal DiscoveryModel Selection | —Unverified | 0 |
| Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network | Jun 7, 2022 | AttributeGraph Neural Network | —Unverified | 0 |
| Hardness of Maximum Likelihood Learning of DPPs | May 24, 2022 | graph constructionPoint Processes | —Unverified | 0 |
| Logarithmic regret bounds for continuous-time average-reward Markov decision processes | May 23, 2022 | Point Processesreinforcement-learning | —Unverified | 0 |
| A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks | May 19, 2022 | Point Processes | CodeCode Available | 0 |
| Analysis of a Spatially Correlated Vehicular Network Assisted by Cox-distributed Vehicle Relays | Apr 26, 2022 | Point Processes | —Unverified | 0 |
| Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis | Apr 7, 2022 | Point Processes | —Unverified | 0 |
| Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence | Apr 6, 2022 | Point Processes | —Unverified | 0 |
| A Survey on Graph Representation Learning Methods | Apr 4, 2022 | Anomaly DetectionGraph Embedding | —Unverified | 0 |
| A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration | Mar 15, 2022 | BIG-bench Machine LearningPoint Processes | —Unverified | 0 |
| SimHawNet: A Modified Hawkes Process for Temporal Network Simulation | Mar 14, 2022 | BIG-bench Machine LearningLink Prediction | CodeCode Available | 0 |
| TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs | Mar 7, 2022 | Point ProcessesTransfer Learning | CodeCode Available | 1 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences | Feb 17, 2022 | Point ProcessesRetrieval | CodeCode Available | 0 |
| Variational Neural Temporal Point Process | Feb 17, 2022 | Point Processes | —Unverified | 0 |
| Memory Replay with Data Compression for Continual Learning | Feb 14, 2022 | Autonomous Drivingclass-incremental learning | CodeCode Available | 1 |
| Long-Horizon Return Predictability from Realized Volatility in Pure-Jump Point Processes | Feb 1, 2022 | Point Processesregression | —Unverified | 0 |
| Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes | Jan 29, 2022 | Decision MakingModel-based Reinforcement Learning | CodeCode Available | 0 |
| Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport | Jan 24, 2022 | Point ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Scalable Sampling for Nonsymmetric Determinantal Point Processes | Jan 20, 2022 | Point Processes | CodeCode Available | 0 |
| Bayesian Neural Hawkes Process for Event Uncertainty Prediction | Dec 29, 2021 | Decision MakingPoint Processes | —Unverified | 0 |
| Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting | Dec 19, 2021 | Hyperedge PredictionPoint Processes | —Unverified | 0 |
| Neural Point Process for Learning Spatiotemporal Event Dynamics | Dec 12, 2021 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD | Dec 11, 2021 | Point Processes | —Unverified | 0 |
