Santos-Rodriguez, Raul

14 publications

IJCAI 2024 An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
AAAI 2024 Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
ICMLW 2024 Relatively Rational: Learning Utilities and Rationalities Jointly from Pairwise Preferences Taku Yamagata, Tobias Oberkofler, Timo Kaufmann, Viktor Bengs, Eyke Hüllermeier, Raul Santos-Rodriguez
MLJ 2023 Classifier Calibration: A Survey on How to Assess and Improve Predicted Class Probabilities Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
ICML 2023 Q-Learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez
ECML-PKDD 2022 Hypothesis Testing for Class-Conditional Label Noise Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
ICLR 2022 On the Relation Between Statistical Learning and Perceptual Distances Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez, Jona Ballé, Jesus Malo
NeurIPSW 2022 Understanding Redundancy in Discrete Multi-Agent Communication Jonathan David Thomas, Raul Santos-Rodriguez, Robert Piechocki
MLJ 2021 Conditional T-SNE: More Informative T-SNE Embeddings Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
ECML-PKDD 2018 Ordinal Label Proportions Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie
ECML-PKDD 2014 Consistency of Losses for Learning from Weak Labels Jesús Cid-Sueiro, Dario García-García, Raúl Santos-Rodríguez
ICML 2011 Risk-Based Generalizations of F-Divergences Dario García-García, Ulrike von Luxburg, Raúl Santos-Rodríguez
ECML-PKDD 2009 Cost-Sensitive Learning Based on Bregman Divergences Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro
MLJ 2009 Cost-Sensitive Learning Based on Bregman Divergences Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro