Nimrod Megiddo

Computer Science · Physical Sciences

56h-index15.2kcitations214works0.02yr avg
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Research Topics

Complexity and Algorithms in Graphs(39), Advanced Optimization Algorithms Research(38), Optimization and Search Problems(32), Data Management and Algorithms(26), Computational Geometry and Mesh Generation(23)

Publications214 total

Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems
arXiv (Cornell University)·2025Open Access
Spline Quantile Regression
arXiv (Cornell University)·2025Open Access
On the Complexity of Combinatorial Optimization on Fixed Structures
arXiv (Cornell University)·2024Open Access
Purely-observational data
TIB Data Manager·2024Open Access
Observational data together with a generative model
TIB Data Manager·2024Open Access
An Efficient Interior-Point Method for Online Convex Optimization
arXiv (Cornell University)·2023Open Access
On "Indifference" and Backward Induction in Games with Perfect Information
arXiv (Cornell University)·2023Open Access
On the Use of Generative Models in Observational Causal Analysis
arXiv (Cornell University)·2023Open Access
Remarks on Utility in Repeated Bets
arXiv (Cornell University)·2023Open Access
Combining data and theory for derivable scientific discovery with AI-Descartes
Nature Communications·2023· 60 citedOpen Access
Bayesian Experimental Design for Symbolic Discovery
arXiv (Cornell University)·2022· 1 citedOpen Access
An Anomaly Detection Approach for Plankton Species Discovery
Lecture notes in computer science·2022· 9 cited
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery
arXiv (Cornell University)·2021· 1 citedOpen Access
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery.
arXiv (Cornell University)·2021Open Access
AI Descartes: Combining Data and Theory for Derivable Scientific\n Discovery
arXiv (Cornell University)·2021· 4 citedOpen Access
Contribution of EUV resist counting statistics to stochastic printing failures
Journal of Micro/Nanopatterning Materials and Metrology·2021· 9 citedOpen Access
Symbolic Regression using Mixed-Integer Nonlinear Optimization
arXiv (Cornell University)·2020· 3 citedOpen Access
Symbolic Regression using Mixed-Integer Nonlinear Optimization
arXiv (Cornell University)·2020· 2 citedOpen Access
An analysis of EUV resist stochastic printing failures
2019· 7 cited
Carving Perfect Layers out of Docker Images
USENIX conference on Hot Topics in Cloud Ccomputing·2019· 16 cited
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Frequent Co-authors

Arie Tamir(5), Masakazu Kojima(4), Rakesh Agrawal(3), Ramakrishnan Srikant(3), Daphne Koller(3), Dharmendra S. Modha(2), Toshihito Noma(2), S. L. Hakimi(2), Christos H. Papadimitriou(2), Ching‐Tien Ho(2), Eitan Zemel(2), Bernhard von Stengel(2), Jun Rao(2), Guy M. Lohman(2), Kenneth J. Supowit(1), Ronald Fagin(1), Joseph Y. Halpern(1), Akiko Yoshise(1), M. R. Garey(1), David S. Johnson(1)