| Neural embeddings of graphs in hyperbolic space BP Chamberlain, J Clough, MP Deisenroth arXiv preprint arXiv:1705.10359, 2017 | 99 | 2017 |
| Customer lifetime value prediction using embeddings BP Chamberlain, A Cardoso, CHB Liu, R Pagliari, MP Deisenroth Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 47 | 2017 |
| Predicting twitter user socioeconomic attributes with network and language information N Aletras, BP Chamberlain Proceedings of the 29th on Hypertext and Social Media, 20-24, 2018 | 30 | 2018 |
| Scalable hyperbolic recommender systems BP Chamberlain, SR Hardwick, DR Wardrope, F Dzogang, F Daolio, ... arXiv preprint arXiv:1902.08648, 2019 | 14 | 2019 |
| Probabilistic inference of twitter users’ age based on what they follow BP Chamberlain, C Humby, MP Deisenroth Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 14* | 2017 |
| Real-time community detection in full social networks on a laptop BP Chamberlain, J Levy-Kramer, C Humby, MP Deisenroth PloS one 13 (1), e0188702, 2018 | 13 | 2018 |
| Generalising random forest parameter optimisation to include stability and cost CHB Liu, BP Chamberlain, DA Little, Â Cardoso Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 11 | 2017 |
| SIGN: Scalable Inception Graph Neural Networks E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti arXiv preprint arXiv:2004.11198, 2020 | 8 | 2020 |
| Temporal graph networks for deep learning on dynamic graphs E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein arXiv preprint arXiv:2006.10637, 2020 | 5 | 2020 |
| Fashion Outfit Generation for E-commerce EM Bettaney, SR Hardwick, O Zisimopoulos, BP Chamberlain Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 4 | 2019 |
| Learning Embeddings for Product Size Recommendations K Dogani, M Tomassetti, S De Cnudde, S Vargas, B Chamberlain eCOM@SIGIR, 2019 | 4 | 2019 |
| A recurrent neural network survival model: Predicting web user return time GL Grob, Â Cardoso, CHB Liu, DA Little, BP Chamberlain Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 4 | 2018 |
| Designing experiments to measure incrementality on facebook CH Liu, EM Bettaney, BP Chamberlain arXiv preprint arXiv:1806.02588, 2018 | 3 | 2018 |
| Online Controlled Experiments for Personalised e-Commerce Strategies: Design, Challenges, and Pitfalls CH Liu, BP Chamberlain arXiv preprint arXiv:1803.06258, 2018 | 3 | 2018 |
| On overlapping community-based networks: generation, detection, and their applications CHB Liu, MP Deisenroth, BP Chamberlain Master’s thesis, Imperial College London, London, United Kingdom, 2016 | 3 | 2016 |
| Tuning Word2vec for Large Scale Recommendation Systems BP Chamberlain, E Rossi, D Shiebler, S Sedhain, MM Bronstein In Fourteenth ACM Conference on Recommender Systems (pp. 732-737), 2020 | 1 | 2020 |
| SIGN: Scalable Inception Graph Neural Networks F Frasca, E Rossi, D Eynard, B Chamberlain, M Bronstein, F Monti arXiv e-prints, arXiv: 2004.11198, 2020 | 1 | 2020 |
| What is the value of experimentation & measurement? CH Liu, BP Chamberlain IEEE International Conference on Data Mining (ICDM) 2019, 2019 | 1 | 2019 |
| Speeding Up BigClam Implementation on SNAP CH Liu, BP Chamberlain arXiv preprint arXiv:1712.01209, 2017 | 1 | 2017 |
| What is the Value of Experimentation and Measurement? CHB Liu, BP Chamberlain, EJ McCoy Data Science and Engineering 5 (2), 152-168, 2020 | | 2020 |
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
