Bobby Baraldi

Bobby Baraldi

R&D S&E, Computer Science SE, Sandia National Laboratories

Lecture Materials

Seminars

  • Robert Baraldi, Drew P. Kouri (2023), “A Proximal Trust-Region Method for Nonsmooth Optimization with Inexact Function and Gradient Evaluations”, Applied Inverse Problems, September 4, Gottingen, Germany.
  • Robert Baraldi, Drew P. Kouri (2023), “A Proximal Trust-Region Method for Nonsmooth Optimization with Inexact Function and Gradient Evaluations”, WIAS Research Seminar on Mathematical Optimization Nonsmooth Variational Problems and Operator Equations, August 29, Berlin, Germany.
  • Robert Baraldi, Evelyn Herberg, Harbir Antil, Drew P. Kouri (2023), “Adaptive Randomized Sketching for Dynamic Nonsmooth Optimization”, SIOPT, May 31 - June 4, Seattle, WA.
  • Robert Baraldi, Drew P. Kouri (2023), “Efficient Proximal Subproblem Solvers for an Inexact Nonsmooth Trust-Region Method”, SIAM CSE, February 28 - March 4, Amsterdam, ND.
  • Robert Baraldi, Drew P. Kouri (2023), “An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Regularized Problems”, Bayreuth Applied Mathematics Seminar, February 24, Bayreuth, Germany.
  • Robert Baraldi, Evelyn Herberg, Harbir Antil, Drew P. Kouri (2023), “Adaptive Randomized Sketching for Dynamic Nonsmooth Optimization”, IMAX XLI, February 15, Austin, TX.
  • Robert Baraldi, Drew P. Kouri (2022), “An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Regularized Problems”, Centre de recherches mathématiques Seminar at McGill, October 24, Quebec.
  • Robert Baraldi, Drew P. Kouri (2022), “An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Regularized Problems”, GERAD Seminar, October 20, Polytechnique Montréal, Quebec.
  • Robert Baraldi, Drew P. Kouri (2022), “An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Regularized Problems”, Center for Mathematics and Artificial Intelligence Colloquium, September 30 (Virtual).
  • Robert Baraldi, Stefan Wild, Sven Lyeffer (2022), “Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems”, ICCOPT/MOPTA 2022, July 25-28. Bethlehem, PA.
  • Robert Baraldi, Aleksandr Aravkin, Dominique Orban (2021), “A Proximal Quasi-Newton Trust- Region Method for Nonsmooth Regularized Optimization”, SIOPT 2021 (virtual), July 22.
  • Robert Baraldi, Stefan Wild, Sven Lyeffer (2020), “Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems”, SIAM CSE 2021 (virtual), March 1.
  • “Moreau-Yoshida Regularization and First Order Methods with Firedrake”, Firedrake 2020, Seattle, WA; February 22.
  • “Basis Pursuit Denoise with Nonsmooth Constraints”, DOE CSGF Annual Program Review, Arlington, VA; July 14-18.
  • “An Acceleration Framework for Parameter Estimation using Implicit Sampling and Adaptive Reduced order Models”, SIAM CSE, Spokane WA; 2/25-3/1.
  • “Relaxation Algorithms for matrix completion, with applications to seismic travel-time data interpolation”, DOE CSGF Annual Program Review, Arlington, VA; July 15-19.
  • “Systems Modeling and Data Assimilation in Drug Development”, SIAM Annual Life Sciences Conference, Boston, MA; July 11-15.

Teaching

Here is a short list of courses that I have taught.

  • Sandia
    • PDECO Seminar (joint with George Mason University), 2023; optimiation and first order methods.
  • UW
    • Teaching Assistant, 2016 - Calculus 3: Math 126.
  • NCSU
    • Mathematics Tutor, 2014-5 - Calculus 2: MA 241, Calculus 1: MA 121

Societies

I have been a part of many wonderful societies and groups. These include:

  • UW
    • Numerical Analysis Research Club
    • SIAM Student Chapter
  • DOE
    • Computational Science Graduate Fellowship