mlsanityData to 7 Oct 2026

Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

arXiv 1707.03003 ↗First posted 10 Jul 2017stat.MLcited by 22

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Abstract (arXiv)

Tick is a statistical learning library for Python~3, with a particular emphasis on time-dependent models, such as point processes, and tools for generalized linear models and survival analysis. The core of the library is an optimization module providing model computational classes, solvers and proximal operators for regularization. tick relies on a C++ implementation and state-of-the-art optimization algorithms to provide very fast computations in a single node multi-core setting. Source code and documentation can be downloaded from https://github.com/X-DataInitiative/tick

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jul 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 6; 2023: 3; 2024: 5; 2025: 3; 2026: 1.

22 papers.

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  1. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 109
  2. 2023EasyTPP: Towards Open Benchmarking Temporal Point Processescited by 63
  3. 2022Exploring Generative Neural Temporal Point Processcited by 30
  4. 2022Benchopt: Reproducible, efficient and collaborative optimization benchmarkscited by 27
  5. 2023Prompt-augmented Temporal Point Process for Streaming Event Sequencecited by 24
  6. 2024Decomposable Transformer Point Processescited by 15
  7. 2021Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modelingcited by 12
  8. 2024HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?cited by 11
  9. 2024Learning Granger Causality from Instance-wise Self-attentive Hawkes Processescited by 7
  10. 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equationscited by 6
  11. 2021Bayesian Neural Hawkes Process for Event Uncertainty Predictioncited by 3
  12. 2022Online Learning for Mixture of Multivariate Hawkes Processescited by 2
10 more
  1. 2021Exponential Kernels with Latency in Hawkes Processes: Applications in Financecited by 1
  2. 2022Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimizationcited by 1
  3. 2022Differentially Private Learning of Hawkes Processescited by 1
  4. 2022Differentially Private Estimation of Hawkes Processcited by 1
  5. 2021Fine-Grained ε-Margin Closed-Form Stabilization of Parametric Hawkes Processescited by 0
  6. 2024Unsupervised Event Outlier Detection in Continuous Timecited by 0
  7. 2025Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventionscited by 0
  8. 2025Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networkscited by 0
  9. 2025Speculative Sampling for Parametric Temporal Point Processescited by 0
  10. 2026Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesiscited by 0