Benjamin Paul Chamberlain
Benjamin Paul Chamberlain
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Title
Cited by
Cited by
Year
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
1032017
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 Knowledgeá…, 2017
512017
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
362018
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
16*2020
Scalable hyperbolic recommender systems
BP Chamberlain, SR Hardwick, DR Wardrope, F Dzogang, F Daolio, ...
arXiv preprint arXiv:1902.08648, 2019
162019
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 iná…, 2017
15*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
142018
Generalising random forest parameter optimisation to include stability and cost
CHB Liu, BP Chamberlain, DA Little, ┬ Cardoso
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2017
112017
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
82020
Fashion Outfit Generation for E-commerce
EM Bettaney, SR Hardwick, O Zisimopoulos, BP Chamberlain
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2019
42019
A recurrent neural network survival model: Predicting web user return time
GL Grob, ┬ Cardoso, CHB Liu, DA Little, BP Chamberlain
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2018
42018
Learning Embeddings for Product Size Recommendations
K Dogani, M Tomassetti, S De Cnudde, S Vargas, B Chamberlain
eCOM@SIGIR, 2019
32019
Designing experiments to measure incrementality on facebook
CH Liu, EM Bettaney, BP Chamberlain
arXiv preprint arXiv:1806.02588, 2018
32018
Online Controlled Experiments for Personalised e-Commerce Strategies: Design, Challenges, and Pitfalls
CH Liu, BP Chamberlain
arXiv preprint arXiv:1803.06258, 2018
32018
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
32016
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
12020
What is the value of experimentation & measurement?
CH Liu, BP Chamberlain
IEEE International Conference on Data Mining (ICDM) 2019, 2019
12019
Speeding up bigclam implementation on snap
CH Liu, BP Chamberlain
arXiv preprint arXiv:1712.01209, 2017
12017
What is the Value of Experimentation and Measurement? Quantifying the Value and Risk of Reducing Uncertainty to Make Better Decisions
CHB Liu, BP Chamberlain, EJ McCoy
Data Science and Engineering 5, 152-167, 2020
2020
Practical challenges of learning and representation for large graphs
BP Chamberlain
University of London, 2018
2018
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