ד"ר נועם גולדברג

ד"ר
ד"ר נועם גולדברג
טלפון: 
תפקיד: 

פירסומים

Journal Publications

 

Noam Goldberg. "Nonzero-Sum Nonlinear Network Path Interdiction with Application to Inspection in Terror Networks", Naval Research Logistics, 64 (2), 2017.

 

Hyun-Seob Song, Noam Goldberg, Ashutosh Mahajan, Doraiswami Ramkrishna. "Sequential Computation of Elementary Modes and Minimal Cut Sets in Genome-scale Metabolic Networks Using Alternate Integer Linear Programming". Bioinformatics, Accepted, 2017.

 

Boaz Golany, Noam Goldberg, Uriel G. Rothblum. "A Two-Resource Allocation Algorithm with an Application to Large-Scale Zero-Sum Defensive  Games", Computers and Operations Research, 78, pp. 218–229, 2017, DOI: http://dx.doi.org/10.1016/j.cor.2016.08.013.

 

Noam Goldberg, Shlomo Karhi. "Packing into Designated and Multipurpose Bins: A Theoretical Study and Application to the Cold Chain", Omega, 71, pp. 85-92, 2017, DOI: http://dx.doi.org/10.1016/j.omega.2016.09.010.

 

Noam Goldberg, Sven Leyffer. "An Active Set Method for Second-order Conic Constrained Quadratic Programming", SIAM Journal on Optimization, 25 (3), pp. 1455-1477, 2015. DOI:  http://dx.doi.org/10.1137/140958025.

 

Noam Goldberg, Sven Leyffer, Ilya Safro. "Optimal Response to Epidemics and Cyber Attacks in Networks", Networks,  66(2), pp. 145-158, 2015. DOI: 10.1002/net.21619.

 

Noam Goldberg, Youngdae Kim, Sven Leyffer, Thomas Veselka. “Adaptively Refined Dynamic Program for Linear Spline Regression”, Computational Optimization and Applications 58 (3), pp. 523-541, 2014, DOI: 10.1007/s10589-014-9647-y.

 

Yael Deutcsh, Boaz Golany, Noam Goldberg, Uriel G. Rothblum, “Inspection Games with Local and Global Allocation Bounds“, Naval Research Logistics 60 (2), 2013, DOI: 10.1002/nav.21524.

 

Boaz Golany, Noam Goldberg, Uriel G. Rothblum.Allocating Multiple Defensive Resources in a Zero-sum Setting, Annals of Operations Research, 225 (1), 2015, DOI: 10.1007/s10479-012-1196-0.
 

Jonathan Eckstein, Noam Goldberg. An Improved Branch-and-Bound Method for Maximum Monomial Agreement”. INFORMS Journal on Computing 24 (2), 2012, DOI: 10.1287/ijoc.1110.0459.
 

Noam Goldberg, Jonathan Eckstein. “Sparse Weighted Voting Classifier Selection and its Linear Programming Relaxations”. Information Processing Letters 112, 2012, pp. 481-486, DOI: 10.1016/j.ipl.2012.03.004.

 

Endre Boros, Noam Goldberg, Paul Kantor, Jonathan Word. Optimal Sequential Inspection Policies”. Annals of Operations Research 187 (1), 2011, DOI: 10.1007/s10479-010-0799-6.

 

Refereed Conference Proceeding Publications

Jonathan Eckstein, Noam Goldberg, Ai Kawaga, "Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement", the 34th International Conference of Machine Learning (ICML), accepted,  (acceptance rate: 25%).

 

Noam Goldberg, Sven Leyfer, Todd Munson. “A new perspective on sparse SVM”. Proceedings of the SIAM International Conference on Data Mining (SDM), 2013 (acceptance rate 25.5%). 

 

Noam Goldberg, Jonathan Eckstein. “Boosting Classifiers with Tightened L0-Relaxation Penalties”. Proceedings of the 27th International Conference of Machine Learning (ICML), 2010 (acceptance rate 26%).

 

Ossama Younis, Andrei Ghetie, Noam Goldberg, Sunil Samtani, Maneesh Vaarshney, Mitesh Patel. “A Framework for Evaluating Network Optimization Techniques”. In proceedings of IEEE Sarnoff Symposium, 2012.

 

Noam Goldberg, Eric van den Berg, Provin Gurung, Sunil Samtani, Aristides Staikos. “Local Unicast Routing Agent”. In proceedings of IEEE Military Communications 2009.

 

Noam Goldberg, Chung-chieh Shan. Boosting Optimal Logical Patterns Using Noisy Data”. Proceedings of the SIAM International Conference on Data Mining (SDM), 2007. (FP acceptance rate 12%).

 

Refereed conferences

Endre Boros, Noam Goldberg, Paul B. Kantor, Jonathan Word. “Optimal Sequential Inspection Policies”. MSOM, 2010. 

 

Jonathan Eckstein, Noam Goldberg. An Improved Branch-and-Bound Method for Maximum Monomial Agreement. Neural Information Processing Systems (NIPS) Workshop in Optimization for Machine Learning, Whistler BC, Canada 2008.

תחומי מחקר

Optimization, resource allocation, applied and computational game theory, optimization in machine learning and data mining