Selvaprabu Nadarajah

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 18

Top Topics

Monte Carlo Methods

Convex Optimization

Top Venues

Oper. Res. Lett.

Publications

Alessio Trivella, Danial Mohseni-Taheri, Selvaprabu Nadarajah
Meeting Corporate Renewable Power Targets. Manag. Sci. 69 (1) (2023)
Selvaprabu Nadarajah, Nicola Secomandi
A review of the operations literature on real options in energy. Eur. J. Oper. Res. 309 (2) (2023)
Alessio Trivella, Selvaprabu Nadarajah, Stein-Erik Fleten, Denis Mazieres, David Pisinger
Managing Shutdown Decisions in Merchant Commodity and Energy Production: A Social Commerce Perspective. Manuf. Serv. Oper. Manag. 23 (2) (2021)
Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. BuildSys@SenSys (2021)
Alessio Trivella, Selvaprabu Nadarajah
Socially responsible merchant operations: Comparison of shutdown-averse CVaR and anticipated regret policies. Oper. Res. Lett. 49 (4) (2021)
Aleksandr M. Kazachkov, Selvaprabu Nadarajah, Egon Balas, François Margot
Partial hyperplane activation for generalized intersection cuts. Math. Program. Comput. 12 (1) (2020)
Boxiao Chen, Selvaprabu Nadarajah, Parshan Pakiman, Stefanus Jasin
Self-adapting Robustness in Demand Learning. CoRR (2020)
Selvaprabu Nadarajah, Nicola Secomandi
Least Squares Monte Carlo and Approximate Linear Programming with an Energy Real Option Application. Found. Trends Technol. Inf. Oper. Manag. 14 (1-2) (2020)
Selvaprabu Nadarajah, André A. Ciré
Network-Based Approximate Linear Programming for Discrete Optimization. Oper. Res. 68 (6) (2020)
Qihang Lin, Selvaprabu Nadarajah, Negar Soheili
Revisiting Approximate Linear Programming: Constraint-Violation Learning with Applications to Inventory Control and Energy Storage. Manag. Sci. 66 (4) (2020)
Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints. J. Mach. Learn. Res. 21 (2020)
Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin
Self-guided Approximate Linear Programs. CoRR (2020)
Abhilash Reddy Chenreddy, Parshan Pakiman, Selvaprabu Nadarajah, Ranganathan Chandrasekaran, Rick Abens
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine. KDD (2019)
Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints. CoRR (2019)
Selvaprabu Nadarajah, Nicola Secomandi
Merchant Energy Trading in a Network. Oper. Res. 66 (5) (2018)
Qihang Lin, Selvaprabu Nadarajah, Negar Soheili
A Level-Set Method for Convex Optimization with a Feasible Solution Path. SIAM J. Optim. 28 (4) (2018)
Selvaprabu Nadarajah, François Margot, Nicola Secomandi
Comparison of least squares Monte Carlo methods with applications to energy real options. Eur. J. Oper. Res. 256 (1) (2017)
Selvaprabu Nadarajah, Nicola Secomandi
Relationship between least squares Monte Carlo and approximate linear programming. Oper. Res. Lett. 45 (5) (2017)
Selvaprabu Nadarajah, François Margot, Nicola Secomandi
Relaxations of Approximate Linear Programs for the Real Option Management of Commodity Storage. Manag. Sci. 61 (12) (2015)
Selvaprabu Nadarajah, James H. Bookbinder
Less-Than-Truckload carrier collaboration problem: modeling framework and solution approach. J. Heuristics 19 (6) (2013)