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

Director, Center for Optimization and Statistical Learning

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)