Student at the University of Alberta, who is lucky to be supervised by Dr. Csaba Szepesvári. Current research is focused on the theory of algorithms for sequential decision making problems.
[0] Does weighting improve matrix factorization for recommender systems?
[WWW 2025] by Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
[1] Switching the Loss Reduces the Cost in Batch Reinforcement Learning
[ICML 2024] by Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
[2] Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons
[Neural Networks 2025/3/12] by Chris Kang, Jasmine A Moore, Samuel Robertson, Matthias Wilms, Emma K Towlson, Nils D Forkert
[3] Stroke lesion localization in 3D MRI datasets with deep reinforcement learning
[SPIE Medical Imaging 2022: Computer-Aided Diagnosis] by Samuel Robertson, Anup Tuladhar, Deepthi Rajashekar, Nils D Forkert
[4] Quantifying the relationship between cell proliferation and morphology during development of the face
[Development 2025/2/24] by Lucas D Lo Vercio, Rebecca M Green, Andreas Dauter, Elizabeth C Barretto, Marta Vidal-García, Jay Devine, Marta Marchini, Samuel Robertson, Xiang Zhao, Anandita Mahika, M Bilal Shakir, Sienna Guo, Julia C Boughner, Heather Szabo-Rogers, Wendy Dean, Arthur D Lander, Ralph S Marcucio, Nils D Forkert, Benedikt Hallgrímsson
[5] Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images of Mouse Embryos using Convolutional Neural Networks
[IEEE Access 2022/9/28] by Lucas D Lo Vercio, Rebecca M Green, Samuel Robertson, Sienna Guo, Andreas Dauter, Marta Marchini, Marta Vidal-García, Xiang Zhao, Anandita Mahika, Ralph S Marcucio, Benedikt Hallgrímsson, Nils D Forkert