Michael P. Friedlander | UBC (original) (raw)

Background

• Professor, University of British Columbia (2014–present)
• Professor, University of California, Davis (2014–2016)
• Assistant ⤳ Associate Professor, University of British Columbia (2004–2014)
• Wilkinson Fellow, Argonne National Laboratory (2002–2004)
• PhD, Stanford University, Operations Research (2002)
• BA, Cornell University, Physics (1993)

Appointments

• Fellow, Society for Industrial and Applied Mathematics (SIAM) (2024–present)
• Director, UBC Institute of Applied Mathematics (2018–present)
• Board of Directors, Pacific Institute for Mathematical Sciences (2017-2023)
• Associate Head for Faculty Affairs, UBC Dept of Computer Science (2017–2018)
• Program Director, SIAM Activity Group in Optimization (2014–2020)
• Co-chair, SIAM Annual Conference (2024)
• Co-chair, SIAM Conference on Optimization (2017)
• Associate Editor, Open Journal of Mathematical Optimization (2021–present)
• Area Editor for Continuous Optimization, Mathematics of Operations Research (2018–2022)
• Associate Editor, Mathematics of Operations Research (2016–2018)
• Associate Editor, SIAM J. Optimization (2009–2018)
• Associate Editor, Mathematical Programming Computation (2008–2018)
• Associate Editor, SIAM J. Matrix Analysis and Applications (2011–2017)
• Associate Editor, Mathematical Programming (2015–2017)
• Associate Editor, SIAM J. Scientific Computing (2013–2016)
• Associate Editor, Optimization Methods and Software (2011–2013)
• Associate Editor, Electronic Transactions Numerical Analysis (2011–2013)

Selected Publications

• Polar deconvolution of mixed signals
  IEEE Trans. Signal Processing,2022
• Online mirror descent and dual averaging: keeping pace in the dynamic case
  H. Fang, N J. A. Harvey, V. S. Portella, M. P. Friedlander. J. Machine Learning Research,2022
• Atomic decomposition via polar alignment: the geometry of structured optimization
  Z. Fan, H. Jeong, Y. Sun, M. P. Friedlander. Foundations and Trends in Optimization, 3(4):280–366,2020
• Polar convolution
  M. P. Friedlander, I. Macêdo, T.K. Pong. SIAM J. Optimization, 29(2):1366–1391,2019
• Low-rank spectral optimization via gauge duality
  M. P. Friedlander, I. Macêdo. SIAM J. Scientific Computing, 38(3):A1616–A1638,2016
• Gauge optimization and duality
  M. P. Friedlander, I. Macêdo, T. K. Pong. SIAM J. Optimization, 24(4):1999–2022,2014
• Probing the Pareto frontier for basis pursuit solutions
  E. van den Berg, M. P. Friedlander. SIAM J. Scientific Computing, 31(2):890–912,2008
• Exact regularization of convex programs
  M. P. Friedlander, P. Tseng. SIAM J. Optimization, 18(4):1326–1350,2007
• A globally convergent linearly constrained Lagrangian method for nonlinear optimization
  M. P. Friedlander, M. A. Saunders. SIAM J. Optimization 15(3):863–897,2005