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Jan Pfeifer
Jan Pfeifer
Google LLC
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Title
Cited by
Cited by
Year
Deep lattice networks and partial monotonic functions
S You, D Ding, K Canini, J Pfeifer, M Gupta
Advances in neural information processing systems 30, 2017
1702017
Monotonic calibrated interpolated look-up tables
M Gupta, A Cotter, J Pfeifer, K Voevodski, K Canini, A Mangylov, ...
Journal of Machine Learning Research 17 (109), 1-47, 2016
1492016
Tf-ranking: Scalable tensorflow library for learning-to-rank
RK Pasumarthi, S Bruch, X Wang, C Li, M Bendersky, M Najork, J Pfeifer, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1472019
Fast and flexible monotonic functions with ensembles of lattices
M Milani Fard, K Canini, A Cotter, J Pfeifer, M Gupta
Advances in neural information processing systems 29, 2016
782016
A light touch for heavily constrained sgd
A Cotter, M Gupta, J Pfeifer
Conference on Learning Theory, 729-771, 2016
272016
Tf-gnn: Graph neural networks in tensorflow
O Ferludin, A Eigenwillig, M Blais, D Zelle, J Pfeifer, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2207.03522, 2022
212022
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.(2018). arXiv
RK Pasumarthi, X Wang, C Li, S Bruch, M Bendersky, M Najork, J Pfeifer, ...
arXiv preprint arXiv:1812.00073, 2018
72018
Introducing TensorFlow decision forests
M Guillame-Bert, S Bruch, J Gordon, J Pfeifer
Online]. URL: https://blog. tensorflow. org/2021/05/introducing-tensorflow …, 2021
52021
Yggdrasil decision forests: A fast and extensible decision forests library
M Guillame-Bert, S Bruch, R Stotz, J Pfeifer
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Learning representations for axis-aligned decision forests through input perturbation
S Bruch, J Pfeifer, M Guillame-Bert
arXiv preprint arXiv:2007.14761, 2020
42020
TF-Ranking
RK Pasumarthi, S Bruch, X Wang, C Li, M Bendersky, M Najork, J Pfeifer, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
32019
Modeling text with decision forests using categorical-set splits
M Guillame-Bert, S Bruch, P Mitrichev, P Mikheev, J Pfeifer
arXiv preprint arXiv:2009.09991, 2020
22020
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Articles 1–12