José Vinícius de Miranda Cardoso

Sai Kung, 2022

Hong Kong

career

education

  • 2023: PhD in Electronic & Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong
  • 2019: BEng in Electrical Engineering, Universidade Federal de Campina Grande, Brazil

selected publications

  1. NeurIPS
    Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
    J.-F., Cai, Cardoso, J. V. M., Palomar, D. P., and Ying, J.
    In Advances in Neural Information Processing Systems 2023
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  2. ICML
    Adaptive Estimation of Graphical Models under Total Positivity
    Ying, J., Cardoso, J. V. M., and Palomar, D. P.
    In International Conference on Machine Learning 2023
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  3. NeurIPS
    Learning Bipartite Graphs: Heavy Tails and Multiple Components
    Cardoso, J. V. M., Ying, J., and Palomar, D. P.
    In Advances in Neural Information Processing Systems 2022
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  4. NeurIPS
    Graphical Models in Heavy-Tailed Markets
    Cardoso, J. V. M., Ying, J., and Palomar, D. P.
    In Advances in Neural Information Processing Systems 2021
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  5. Asilomar
    Learning Undirected Graphs in Financial Markets
    Cardoso, J. V. M., and Palomar, D. P.
    In 2020 54th Asilomar Conference on Signals, Systems, and Computers 2020
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  6. NeurIPS
    Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
    Ying, J., Cardoso, J. V. M., and Palomar, D. P.
    In Advances in Neural Information Processing Systems 2020
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  7. NeurIPS
    Structured Graph Learning Via Laplacian Spectral Constraints
    Kumar, S., Ying, J., Cardoso, J. V. M., and Palomar, D. P.
    In Advances in Neural Information Processing Systems 2019
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