William Trouleau

According to our database, William Trouleau authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots.

Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez

ACM Trans. Spatial Algorithms Syst., 2022

2021

Learning Self-Exciting Temporal Point Processes Under Noisy Observations.

William Trouleau

PhD thesis, 2021

Cumulants of Hawkes Processes are Robust to Observation Noise.

William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

Proceedings of the 38th International Conference on Machine Learning, 2021

A Variational Inference Approach to Learning Multivariate Wold Processes.

Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment.

Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez

CoRR, 2020

2019

Learning Hawkes Processes from a handful of events.

Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Hawkes Processes Under Synchronization Noise.

William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stochastic Optimal Control of Epidemic Processes in Networks.

Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

CoRR, 2018

2016

Just One More: Modeling Binge Watching Behavior.

William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016