● Short CV
● Selected publications (1997 -)
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Book
Lecture Notes
7. A. Nemirovski Lectures on Robust
Convex Optimization Lecture 1. Robust Linear Optimization: Motivation,
Concepts, Tractability Lecture 2.
Robust Linear Optimization and Chance Constraints Lecture 3. Robust Conic Quadratic and Semidefinite Optimization Lecture 4. Globalized Robust Counterparts of
Uncertain Linear and Conic Problems Lecture 5. Adjustable Robust Multistage Optimization Solutions to Exercises (as of now,
password protected) 8. A. Nemirovski, >Introduction to Linear Optimization (Lecture Notes, Transparencies)
191-224. Optimization
v. 9 (1999), 813-832, and 5. Juditsky, A., Nemirovski, A. Functional aggregation for nonparametric regression.
Annals of Statistics 28:3 (2000), 681-712 2001 1. Nemirovski,
A., 229-251. 2. Eldar, Y.C.,
Ben-Tal, A., Nemirovski, A. Linear minimax regret estimation of deterministic parameters
with bounded data uncertainties IEEE Trans. on
Signal Processing 52 (2004), 2177--2188.
3. Nemirovski, A.
1. A. Ben-Tal, A. Nemirovski, 3. Eldar, Y., Ben-Tal, A., Nemirovski,
A., Robust mean-squared error estimation in the presence
of model uncertainties IEEE Trans. On Signal Processing 53
(2005), 168-181 4.
Ben-Tal, A., Boyd, S., Nemirovski,
A. Control of Uncertainty-Affected Discrete Time Linear
Systems via Convex Programming
5. Ben-Tal, A., Golany, B., Nemirovski, A.,
Vial, J.-Ph., 2006 1.
Ben-Tal, A., Boyd, S., Nemirovski,
A., Extending the Scope of Robust Optimization: Comprehensive
Robust Counterparts of Uncertain Problems -
Mathematical Programming 107:1-2 (2006), 63-89 2. Nemirovski, A.,
Shapiro, A., 3. Nemirovski, A.,
Shapiro, A. Convex Approximations of Chance Constrained Programs
969-996. 2007 1.
Nemirovski, A., Advances in Convex Optimization: Conic Programming
in Marta Sanz-Sol, Javier Soria,
Juan L. Varona, Joan Verdera,
Eds., Proceedings of International Congress of Mathematicians, August 22-30, 2006,
Volume 1, 2. Nemirovski, A.
Mathematical Programming 109:2-3 (2007), 283-317.
3. Lu, Z., Monteiro,
R.D.C., Nemirovski, A., 109:2-3 (2007), 211-237 4.
Gal, S., Landsverger, M., Nemirovski, A. Participation in auctions Games and
Economic Behavior 60 (2007), 75-103. 2008 1. Ben-Tal, A., Nemirovski,
A. Selected Topics in Robust Convex Optimization
Mathematical Programming, 112:1
(2008), 125-158 2. Nemirovski, A., Todd, M. Interior-point methods for optimization
Acta Numerican 17
(2008), 191234 3. Judistky, A., Nemirovski,
A. Large Deviations of Vector-Valued Martingales in
2-Smooth Normed Spaces 4, Nesterov,
Yu., Nemirovski, A. Primal Central Paths and Riemannian Distances for
Convex Sets Foundations of Computational Mathematics 8:5 (2008), 533-560. 2009 1. Ben-Tal, A., Nemirovski,
A. On Safe
Tractable Approximations of Chance Constrained Linear Matrix Inequalities
Mathematics of Operations Research 34:1 (2009), 1-25. 2. Juditsky,
A., Nemirovski, A. Nonparametric Estimation via Convex Programming
Annals of Statistics 37:5A (2009),
2278-2300 3. Juditsky,
A., Lan, G., Nemirovski,
A., Shapiro, A. Stochastic Approximation approach to Stochastic
Programming SIAM Journal on Optimization 19:4 (2009), 1574-1609. 4. Juditsky, A., Nemirovski, A. Nonparametric Denoising
Signals with Unknown Local Structure, I: Oracle Inequalities
Applied And Computational
Harmonic Analysis 27 (2009), 157-179. 5. Ben-Tal, A., El Ghaoui,
L., Nemirovski , A. Robust Optimization - 2010 1. Juditsky,
A., Nemirovski, A. Nonparametric
Denoising Signals with Unknown Local Structure,II: Nonparametric function recovery
Applied And Computational
Harmonic Analysis 29 (2010), 354-367 2. Nemirovski,
A., Onn, S., Rothblum, U. Accuracy certificates for computational problems
with convex structure Mathematics of Operations Research 35:11
(2010), 52-78 3. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A.
\ell_1 minimization via randomized first order algorithms
submitted to Mathematical Programming 2011
1. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A. On low rank matrix approximations with applications
to synthesis problem in Compressed Sensing SIAM Journal on Matrix Analysis
and Applications 32:3 (2011),
1019-1029 2.
Juditsky, A., Nemirovski,
A. On Verifiable Sufficient Conditions for Sparse
Signal Recovery via L1 Minimization - Mathematical Programming Ser. B, 127 (2011), 57-88 Download
accompanying software (MATLAB on a Windows PC) V1 (with standalone .exe solvers) V2 (with mex solvers) 3. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A. Verifiable conditions of \ell_1-recovery of sparse
signals with sign restrictions Mathematical Programming Ser.
B, 127 (2011), 89-122 4. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A. (2011), \ell_1 Minimization
via Randomized First Order Algorithms -- submitted to Mathematical Programming 5. Juditsky,
A., Nemirovski, A. Accuracy
guarantees for \ell_1 recovery IEEE Transactions on Information Theory
57:12 (2011), 7818-7839 6. Lan,
G., Nemirovski, A., Shapiro, A. Validation analysis of mirror descent stochastic
approximation method Mathematical Programming, Online First,
DOI 10.1007/s10107-011-0442-6 7. Juditsky,
A., Nemirovski,
A., Tauvel, C. Solving
variational inequalities with Stochastic Mirror-Prox algorithm Stochastic Systems 1:1 (2011), DOI: 10.1214/10-SSY011, 17-58 8. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A., Polyak, B.T., On the accuracy of \ell_1-filtering of signals
with block-sparse structure -- in: J. Shawe-Taylor,
R.S. Zemel, P. Bartlett, F. Pereira, K.Q.
Weinberger, Eds. Advances in Neural Information Processing
Systems 24 (2011), 1666-1674. 9. Juditsky,
A., Kilinc Karzan, F., Nemirovski, A., Polyak, B. (2011), Accuracy
Guarantees for \ell_1 recovery of block-sparse signals-- submitted
to Annals of Statistics 2012 1. Juditsky, A., Kilinc
Karzan, F.,Nemirovski,
A.
MATLAB package for solving \min_x\ 2.
Nemirovski, A., On Safe Tractable Approximations of Chance Constraints
- European Journal of Operational Research
219 (2012), 707-718 3.
Juditsky, A., Nemirovski,
A.
First order methods for nonsmooth
convex large-scale optimization, I: General purpose methods
First order methods for nonsmooth
convex large-scale optimization, II:
Utilizing problems structure
In: S. Sra,
7. Nemirovski, A. Robust Optimization and Dynamical Decision-Making (2005) 8. Nemirovski,
A. Selected Topics in Robust Convex Optimization
(2006) 9. Nemirovski,
A. Advances in Convex Optimization: Conic Programming
(2006) 10. Nemirovski,A. Robust Convex Optimization (2007) 11. Nemirovski,
A. 12. Nemirovski,
A. On recent trends in large-scale Convex Optimization (2009) 13. Nemirovski,
A.
14. Nemirovski, A. Deterministic and Randomized First Order Saddle
Point Methods for Large-Scale Convex
Optimization (2010)
15. Nemirovski,
A. Accelerating First Order Methods for Large-Scale Well Structured
Convex Optimization (2010) Selected Theses of my Students Some
of my Technion M.Sc. and Ph.D. students with good
theses left Academia without submitting papers to academic journals. In
order to make the results of their research available, I put their Theses
below.
Technion, 2003): Polynomial time cutting plane algorithms associated with
symmetric cones
Technion, 2005): Computation of matrix norms with applications to Robust
Optimization 3. Eitan Rubinstein (joint supervision with Dr. Michael Zibulevski,
M.Sc. Thesis in OR and System Analysis,
Faculty of Electrical Engineering, Technion, 2005): Support Vector Machines via advanced optimization
techniques
of Mathematics, Technion, 2006): Novel gradient-type optimization algorithms for extremely
large-scale nonsmooth |
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