Walter P. Murphy Professor of Industrial Engineering and Management Sciences and (by courtesy) Engineering Sciences and Applied Mathematics

Contact

2145 Sheridan Road
Tech E274
Evanston, IL 60208-3109

847-491-5038Email Jorge Nocedal

Website

Jorge Nocedal's Homepage

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Departments

Industrial Engineering and Management Sciences

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Education

Ph.D. Mathematical Sciences, Rice University, Houston, TX

B.S. Physics, National University of Mexico, Mexico City, Mexico

Research Interests

Optimization, machine learning, optimal control, software, scientific computing

Selected Publications

• Lon Bottou, Frank E. Curtis, Jorge Nocedal, “Optimization methods for large-scale machine learning”, SIAM Review, (2018)
• Albert S. Berahas, Jorge Nocedal, Martin Taká?, “A multi-batch L-BFGS method for machine learning”, Advances in Neural Information Processing Systems, (2016)
• Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Oztoprak, “A family of second-order methods for convex ?1 -regularized optimization”, Mathematical Programming, (2016)
• N. Keskar, J. Nocedal, F. ztoprak, A. Wchter, “A second-order method for convex -regularized optimization with active-set prediction”, Optimization Methods and Software, (2016)
• R. H. Byrd, S. L. Hansen, Jorge Nocedal, Y. Singer, “A stochastic quasi-Newton method for large-scale optimization”, SIAM Journal on Optimization, (2016)
• Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Oztoprak, “A family of second-order methods for convex ?1-regularized optimization”, Mathematical Programming, (2015)
• Stefan Solntsev, Jorge Nocedal, Richard H. Byrd, “An algorithm for quadratic ?1-regularized optimization with a flexible active-set strategy”, Optimization Methods and Software, (2015)
• Nocedal, Jorge; Byrd, Richard H.; Oztoprak, Figen, “An inexact successive quadratic approximation method for L-1 regularized optimization”, Mathematical Programming, (2015)