Cover Image

Massively Parallel Exact Inference for Hawkes Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raza, Ahmer, Smith, Hudson
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flexible Parametric Inference for Space-Time Hawkes Processes
by: Siviero, Emilia, et al.
Published: (2024)

Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
by: Hlavackova-Schindler, Katerina, et al.
Published: (2023)

Mamba Hawkes Process
by: Gao, Anningzhe, et al.
Published: (2024)

Exact Inference for Continuous-Time Gaussian Process Dynamics
by: Ensinger, Katharina, et al.
Published: (2023)

Massively Parallel Expectation Maximization For Approximate Posteriors
by: Heap, Thomas, et al.
Published: (2025)

Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
by: Boyd, Alex, et al.
Published: (2025)

Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
by: Zhang, Zeyue, et al.
Published: (2024)

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
by: Jin, Songyao, et al.
Published: (2025)

RoTHP: Rotary Position Embedding-based Transformer Hawkes Process
by: Gao, Anningzhe, et al.
Published: (2024)

Modeling Discrete Coating Degradation Events via Hawkes Processes
by: Repasky, Matthew, et al.
Published: (2025)

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning
by: Bharthulwar, Sid, et al.
Published: (2025)

Structured Recurrent Mixers for Massively Parallelized Sequence Generation
by: Badger, Benjamin L.
Published: (2026)

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
by: Kim, Hideaki, et al.
Published: (2025)

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
by: Wu, Dongxia, et al.
Published: (2024)

SimHawNet: A Modified Hawkes Process for Temporal Network Simulation
by: Perez, Mathilde, et al.
Published: (2022)

A Nonparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior
by: Brisley, Trinnhallen, et al.
Published: (2025)

Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
by: Bakumenko, Alexander, et al.
Published: (2025)

Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
by: Barrak, Amine, et al.
Published: (2025)

Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
by: Lacoste, Romain Edmond
Published: (2025)

Unmixing Noise from Hawkes Process to Model Learned Physiological Events
by: Staerman, Guillaume, et al.
Published: (2024)

Estimation of an Order Book Dependent Hawkes Process for Large Datasets
by: Mucciante, Luca, et al.
Published: (2023)

Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs
by: Athiwaratkun, Ben, et al.
Published: (2024)

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
by: Zhao, Yuankang, et al.
Published: (2025)

SNLP: Layer-Parallel Inference via Structured Newton Corrections
by: Han, Ligong, et al.
Published: (2026)

LLMEasyQuant: Scalable Quantization for Parallel and Distributed LLM Inference
by: Liu, Dong, et al.
Published: (2024)

Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence
by: Tan, Xiaoyu, et al.
Published: (2024)

Non-Parametric Estimation of Multi-dimensional Marked Hawkes Processes
by: Joseph, Sobin, et al.
Published: (2024)

From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
by: Tan, Xinzi, et al.
Published: (2026)

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
by: Zhang, Ziyang, et al.
Published: (2025)

Joint Scoring Rules: Zero-Sum Competition Avoids Performative Prediction
by: Hudson, Rubi
Published: (2024)

Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
by: Luo, Rui, et al.
Published: (2023)

Bit-Exact AI Inference Verification Without Performance Tradeoffs
by: Cankaya, Naci
Published: (2026)

A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
by: Sokoloski, Sacha
Published: (2024)

DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease
by: Bai, Runsheng, et al.
Published: (2026)

High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization
by: Zhu, Wanrong, et al.
Published: (2024)

SpecPipe: Accelerating Pipeline Parallelism-based LLM Inference with Speculative Decoding
by: Yin, Haofei, et al.
Published: (2025)

MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
by: Frantar, Elias, et al.
Published: (2024)

Modeling Patient Care Trajectories with Transformer Hawkes Processes
by: Pandey, Saumya, et al.
Published: (2026)

Three Costs of Amortizing Gaussian Process Inference with Neural Processes
by: Young, Robin
Published: (2026)

Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
by: Margossian, Charles C., et al.
Published: (2024)