Benjamin Paul Chamberlain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | Hyperbolic Deep Reinforcement Learning. | Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt |
| 2023 | ICLR | Graph Neural Networks for Link Prediction with Subgraph Sketching. | Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire |
| 2023 | ICLR | Gradient Gating for Deep Multi-Rate Learning on Graphs. | T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra |
| 2022 | ICLR | Understanding over-squashing and bottlenecks on graphs via curvature. | Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein |
| 2020 | RecSys | Tuning Word2vec for Large Scale Recommendation Systems. | Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein |
| 2019 | ICDM | What is the Value of Experimentation & Measurement? | C. H. Bryan Liu, Benjamin Paul Chamberlain |
| 2019 | SIGIR | Fashion Outfit Generation for E-commerce. | Elaine M. Bettaney, Stephen R. Hardwick, Benjamin Paul Chamberlain, Odysseas Zisimopoulos |
| 2019 | SIGIR | Learning Embeddings for Product Size Recommendations. | Kallirroi Dogani, Matteo Tomassetti, Sal Vargas, Benjamin Paul Chamberlain, Sofie De Cnudde |
| 2017 | KDD | Customer Lifetime Value Prediction Using Embeddings. | Benjamin Paul Chamberlain, ngelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth |