Figueiredo, Mario A. T.

23 publications

AISTATS 2025 Sparse Activations as Conformal Predictors Margarida M Campos, João Cálem, Sophia Sklaviadis, Mario A. T. Figueiredo, Andre Martins

TMLR 2024 Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean Vieira Alves, Diogo Leitão, Sérgio Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mario A. T. Figueiredo, Pedro Bizarro

CLeaR 2024 DiConStruct: Causal Concept-Based Explanations Through Black-Box Distillation Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CLeaR 2023 Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model Mario A. T. Figueiredo, Catarina Oliveira

ICLRW 2023 Fairness-Aware Data Valuation for Supervised Learning José Pombal, Pedro Saleiro, Mario A. T. Figueiredo, Pedro Bizarro

CLeaR 2022 Differentiable Causal Discovery Under Latent Interventions Gonçalo Rui Alves Faria, Andre Martins, Mario A. T. Figueiredo

JMLR 2022 Sparse Continuous Distributions and Fenchel-Young Losses André F. T. Martins, Marcos Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae

ICLRW 2020 Can Auto-Encoders Help with Filling Missing Data? Marek Śmieja, Maciej Kołomycki, Łukasz Struski, Mateusz Juda, Mário A. T. Figueiredo

NeurIPSW 2020 TimeSHAP: Explaining Recurrent Models Through Sequence Perturbations João Sousa, Pedro Saleiro, André F. Cruz, Mario A. T. Figueiredo, Pedro Bizarro

AISTATS 2017 Adaptive ADMM with Spectral Penalty Parameter Selection Zheng Xu, Mário A. T. Figueiredo, Tom Goldstein

ICML 2017 Adaptive Consensus ADMM for Distributed Optimization Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein

CVPR 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

ICCV 2017 Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mario A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov

AISTATS 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects Mário A. T. Figueiredo, Robert D. Nowak

JMLR 2015 AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing

MLJ 2015 Probabilistic Consensus Clustering Using Evidence Accumulation André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo

ICML 2011 An Augmented Lagrangian Approach to Constrained MAP Inference André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing

JMLR 2009 Nonextensive Information Theoretic Kernels on Measures André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo

ICML 2008 Nonextensive Entropic Kernels André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing

CVPR 2005 Bayesian Image Segmentation Using Wavelet-Based Priors Mário A. T. Figueiredo

CVPR 2001 Bayesian Learning of Sparse Classifiers Mário A. T. Figueiredo, Anil K. Jain

CVPR 1997 Adaptive B-Splines and Boundary Estimation Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain

CVPR 1993 Simulated Tearing: An Algorithm for Discontinuity-Preserving Visual Surface Reconstruction Mário A. T. Figueiredo, José M. N. Leitão