We introduce two natural notions of fairness (subgroup and instantaneous) which could establish the study of fairness in forecasting and learning of linear dynamical systems.
Supervisor to the following students
Close collaborators at CTU
Previously, mentor to a number of PhD students while at IBM Research
- Olivier Massicot at the University of Illinois Urbana-Champaign (2019 and onwards)
- Anna de Rosier at the University of Gdansk (2019–2020): Subsampling in Testing Non-Locality
- Cunlu Zhou at the University of Notre Dame (2018): Alternative Methods in Semidefinite Programming; Subsequent position: Post-doc at the University of Toronto
- Philipp Haehnel at the Trinity College Dublin (2018): Domain Decomposition Methods for Deep-Learning Surrogate Models of Partial Differential Equations; Subsequent position: Post-doc at Harvard University
- Jie Liu at the Lehigh University (2017–2018): Hybrid Methods for Polynomial Optimisation; Subsequent position: Research Scientist at Innopeak Technology
- Jing Xu at the University of Pennsylvania (2017): Robust Parameter Estimation in Gaussian Mixture Models; Subsequent position: ML Engineer at Facebook
- Alan Liddel at the University of Notre Dame (2016): Hybrid Methods for Polynomial Optimisation; Subsequent position: Senior Data Scientist at Vidrio Technologies
- Martin Takac at the University of Edinburgh (2014): First-Order Methods for Semidefinite Programming; Subsequent position: Tenure-track assistant professor at Lehigh University
- Wann-Jiun Ma at the University of Notre Dame (2014): First-Order Methods for Semidefinite Programming; Subsequent position: Post-doc at Duke University
- Tim McCoy at the University of Notre Dame (2013): Homotopy Methods in Power Systems; Subsequent position: Software engineer at Google
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