Rodrigues, Miguel

14 publications

AAAI 2025 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

AISTATS 2024 ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data Maria C. Novitasari, Johannes Quaas, Miguel Rodrigues

AISTATS 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, Vincent Y. F. Tan

CVPRW 2023 MIMMO: Multi-Input Massive Multi-Output Neural Network Martin Ferianc, Miguel Rodrigues

NeurIPSW 2023 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

NeurIPS 2023 Retrieval-Augmented Multiple Instance Learning Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

AISTATS 2022 An Information-Theoretical Approach to Semi-Supervised Learning Under Covariate-Shift Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel Rodrigues

AISTATS 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel Rodrigues

NeurIPS 2021 An Exact Characterization of the Generalization Error for the Gibbs Algorithm Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel Rodrigues, Gregory Wornell

ICML 2021 Blind Pareto Fairness and Subgroup Robustness Natalia L Martinez, Martin A Bertran, Afroditi Papadaki, Miguel Rodrigues, Guillermo Sapiro

UAI 2021 On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues

ICML 2019 Adversarially Learned Representations for Information Obfuscation and Inference Martin Bertran, Natalia Martinez, Afroditi Papadaki, Qiang Qiu, Miguel Rodrigues, Galen Reeves, Guillermo Sapiro

ICML 2014 Nonlinear Information-Theoretic Compressive Measurement Design Liming Wang, Abolfazl Razi, Miguel Rodrigues, Robert Calderbank, Lawrence Carin

NeurIPS 2013 Designed Measurements for Vector Count Data Liming Wang, David E Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank, Lawrence Carin