-
- G. Pataki. Bad semidefinite programs with short proofs, and the closedness of the linear image of the semidefinite cone. (Submitted )
A talk in 2017
Remark: a much simplified treatment of the SDP results of the “Bad SDP” paper; that paper, however, addresses general conic linear programs - M. Liu and G. Pataki. Exact duals and short certificates of infeasibility and weak infeasibility in conic linear programming , Mathematical Programming, series A, vol. 167, issue 2, pp. 435–480, 2018. DOI
A talk, Aug 2016 - G. Pataki. Bad semidefinite programs: they all look the same . SIAM Journal on Optimization, 2017, 27(3), 146–172, 2017 DOI
A talk in 2014 - M. Lamm and S. Lu. Generalized conditioning based approaches to computing confidence intervals for solutions to stochastic variational inequalities.
Published online first on Mathematical Programming . An unpublished version. - S. Lu. Symmetric confidence regions and confidence intervals for normal map formulations of stochastic variational inequalities.
SIAM Journal on Optimization 2014, Vol. 24, No. 3, pp. 1458-1484 - S. Lu and A. Budhiraja. Confidence regions for stochastic variational inequalities.
Mathematics of Operations Research. 2013, Vol. 38, No. 3, pp. 545–568 - T. Sun and Q. Tran-Dinh, Generalized self-concordant functions: A recipe for Newton-type methods. Mathematical Programming (online first) (PDF).
- Q. Tran-Dinh, Anastasios Kyrillidis, and Volkan Cevher, Composite Self-concordant minimization. Journal of Machine Learning Research (JMLR), 16(Mar):371−416, 2015 (PDF).
- Q. Tran-Dinh, S. Gumussoy, W. Michiels and M. Diehl. Combining convex-concave decompositions and linearization approaches for solving BMIs, with application to static output feedback. IEEE Transactions on Automatic Control, vol. 57, No. 6, pp. 1377–1390, 2012 (regular paper) (PDF).
- G. Pataki. Bad semidefinite programs with short proofs, and the closedness of the linear image of the semidefinite cone. (Submitted )