Victor Kristof

According to our database, Victor Kristof authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Discovering Lobby-Parliamentarian Alignments through NLP.

Aswin Suresh, Lazar Radojevic, Francesco Salvi, Antoine Magron, Victor Kristof, Matthias Grossglauser

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Studying Lobby Influence in the European Parliament.

Aswin Suresh, Lazar Radojevic, Francesco Salvi, Antoine Magron, Victor Kristof, Matthias Grossglauser

CoRR, 2023

2021

Discrete-Choice Mining of Social Processes.

Victor Kristof

PhD thesis, 2021

War of Words II: Enriched Models of Law-Making Processes.

Victor Kristof, Aswin Suresh, Matthias Grossglauser, Patrick Thiran

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

War of Words: The Competitive Dynamics of Legislative Processes.

Victor Kristof, Matthias Grossglauser, Patrick Thiran

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sub-Matrix Factorization for Real-Time Vote Prediction.

Alexander Immer, Victor Kristof, Matthias Grossglauser, Patrick Thiran

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

A User Study of Perceived Carbon Footprint.

Victor Kristof, Valentin Quelquejay-Leclère, Robin Zbinden, Lucas Maystre, Matthias Grossglauser, Patrick Thiran

CoRR, 2019

Linear-Time Inference for Pairwise Comparisons with Gaussian-Process Dynamics.

Lucas Maystre, Victor Kristof, Matthias Grossglauser

CoRR, 2019

Pairwise Comparisons with Flexible Time-Dynamics.

Lucas Maystre, Victor Kristof, Matthias Grossglauser

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Can Who-Edits-What Predict Edit Survival?

Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, Matthias Grossglauser

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016

The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions.

Lucas Maystre, Victor Kristof, Antonio J. González Ferrer, Matthias Grossglauser

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016