Boosting Optimal Logical Patterns Using Noisy Data. - Noam Goldberg; Chung-chieh Shan (SDM, 2007)

Boosting Classifiers with Tightened L0-Relaxation Penalties. - Noam Goldberg; Jonathan Eckstein (ICML, 2010)

Optimal sequential inspection policies. - Endre Boros; Noam Goldberg; Paul B. Kantor; Jonathan Word (Ann. Oper. Res., 2011)

A framework for evaluating network optimization techniques. - Ossama Younis; Andrei Ghetie; Sharanya Eswaran; Noam Goldberg; Sunil Samtani; Maneesh Varshney; Mitesh P. Patel (Sarnoff Symposium, 2012)

An Improved Branch-and-Bound Method for Maximum Monomial Agreement. - Jonathan Eckstein; Noam Goldberg (INFORMS J. Comput., 2012)

Sparse weighted voting classifier selection and its linear programming relaxations. - Noam Goldberg; Jonathan Eckstein (Inf. Process. Lett., 2012)

A New Perspective on Convex Relaxations of Sparse SVM. - Noam Goldberg; Sven Leyffer; Todd S. Munson (SDM, 2013)

Adaptively refined dynamic program for linear spline regression. - Noam Goldberg; Youngdae Kim; Sven Leyffer; Thomas D. Veselka (Comput. Optim. Appl., 2014)

Allocating multiple defensive resources in a zero-sum game setting. - Boaz Golany; Noam Goldberg; Uriel G. Rothblum (Ann. Oper. Res., 2015)

Optimal response to epidemics and cyber attacks in networks. - Noam Goldberg; Sven Leyffer; Ilya Safro (Networks, 2015)

An Active-Set Method for Second-Order Conic-Constrained Quadratic Programming. - Noam Goldberg; Sven Leyffer (SIAM J. Optim., 2015)

Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement. - Jonathan Eckstein; Noam Goldberg; Ai Kagawa (ICML, 2017)

Sequential computation of elementary modes and minimal cut sets in genome-scale metabolic networks using alternate integer linear programming. - Hyun-Seob Song; Noam Goldberg; Ashutosh Mahajan; Doraiswami Ramkrishna (Bioinform., 2017)

A two-resource allocation algorithm with an application to large-scale zero-sum defensive games. - Boaz Golany; Noam Goldberg; Uriel G. Rothblum (Comput. Oper. Res., 2017)

Approximating Robust Bin Packing with Budgeted Uncertainty. - Aniket Basu Roy; Marin Bougeret; Noam Goldberg; Michael Poss (WADS, 2019)

Sparsity and Performance Enhanced Markowitz Portfolios Using Second-Order Cone Programming. - Noam Goldberg; Ishy Zagdoun (WCGO, 2019)

Incorporating monitoring technology and on-site inspections into an n-person inspection game. - Yael Deutsch; Noam Goldberg; Yael Perlman (Eur. J. Oper. Res., 2019)

Online packing of arbitrary sized items into designated and multipurpose bins. - Noam Goldberg; Shlomo Karhi (Eur. J. Oper. Res., 2019)

REPR: Rule-Enhanced Penalized Regression. - Jonathan Eckstein; Ai Kagawa; Noam Goldberg (INFORMS J. Optim., 2019)

On the complexity and approximation of the maximum expected value all-or-nothing subset. - Noam Goldberg; Gábor Rudolf (Discret. Appl. Math., 2020)

Maximum probabilistic all-or-nothing paths. - Noam Goldberg; Michael Poss (Eur. J. Oper. Res., 2020)

MINLP formulations for continuous piecewise linear function fitting. - Noam Goldberg; Steffen Rebennack; Youngdae Kim; Vitaliy Krasko; Sven Leyffer (Comput. Optim. Appl., 2021)

Linearized formulations for failure aware barter exchange. - Noam Goldberg; Michael Poss (Optim. Lett., 2022)

Constant-Ratio Approximation for Robust Bin Packing with Budgeted Uncertainty. - Marin Bougeret; György Dósa; Noam Goldberg; Michael Poss (SIAM J. Discret. Math., 2022)

Robust Radiotherapy Planning with Spatially Based Uncertainty Sets. - Noam Goldberg; Mark P. Langer; Shimrit Shtern (CoRR, 2024)

Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms. - Noam Goldberg; Isaac Meilijson; Yael Perlman (Ann. Oper. Res., 2024)