G. Canal, B. Mason, R. K. Vinayak, and R. Nowak. One for All: Simultaneous Metric and Preference Learning over Multiple Users. In The 36th Conference on Neural Information Processing Systems (NeurIPS), December 2022. (Acceptance rate 25.6%). [preprint] [code]
G. Canal, M. Bloch, and C. Rozell. Feedback Coding for Active Learning. In The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), April 2021. (Acceptance rate 30%). [paper] [code]
M. Connor, G. Canal, and C. Rozell. Variational Autoencoder with Learned Latent Structure. In The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), April 2021. (Acceptance rate 30%). [paper]
M. O’Shaughnessy, G. Canal, M. Connor, M. Davenport, and C. Rozell. Generative Causal Explanations of Black-box Classifiers. In The 34th Conference on Neural Information Processing Systems (NeurIPS), December 2020. (Acceptance rate 20%). [paper]
G. Canal*, S. Fenu*, (equal contribution) and C. Rozell. Active Ordinal Querying for Tuplewise Similarity Learning. In AAAI Conference on Artificial Intelligence (AAAI), New York, NY, February 2020. Selected for oral presentation. (Acceptance rate 20%). [paper]
G. Canal, A. Massimino, M. A. Davenport, and C. J. Rozell. Active Embedding Search via Noisy Paired Comparisons. In The 36th International Conference on Machine Learning (ICML), Long Beach, CA, June 2019. Selected for long oral presentation. (Acceptance rate 23%). [paper] [code]