Publications of Pavithra Harsha

Book Chapters

• Decision-Focused AI in Supply Chains.
  
  • Authors: Georgia Perakis, Pavithra Harsha and Rares Cristian.
    
  • Book: AI in Supply Chains: Perspectives from Global Thought Leaders, Forthcoming 2025.
• Censored Demand Estimation of Choice Models for Omnichannel Pricing.
  
  • Authors: Pavithra Harsha and Shivaram Subramanian.
    
  • Book: Precision Retailing, University of Toronto Press, 2024.

Articles

In reverse chronological order.


1. Practical Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems
   • Authors: Pavithra Harsha, Chitra Subramanian, Naoki Abe, Shivaram Subramanian, Amadou Ba, Kevin Fernandez, Mauricio Longinos, Chandrashekar Narayanaswami
   • Proceedings of the 31st ACM SIGKDD Conference, 2025 [ Promotional Video ] [ pdf ]
2. Causal Latency Modelling for Cloud Microservices
   • Authors: Christopher Lohse, Diego Tsutsumi, Amadou Ba, Pavithra Harsha, Chitra Subramanian, Martin Straesser, Marco Ruffini
   • IEEE International Conference on Cloud Computing, 2025
3. Optimal Workload Placement on Multi-Instance GPUs
   • Authors: Bekir Turkkan, Pavankumar Murali, Pavithra Harsha, Rohan Arora, Gerard Vanloo, Chandrashekar Narayanaswami
   • Submitted, 2024
4. CoRe: Coherency Regularization for Hierarchical Time Series
   • Authors: Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz
   • Submitted, 2025
5. Aligning Learning and Endogenous Decision-Making
   • Authors: Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz
   • Submitted, 2025
6. Fulfillment-Aware Learning in Inventory Allocation
   • Authors: Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz, Ioannis Spantidakis
   • Submitted, 2025
7. Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
   • Authors: Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz
   • Submitted, 2025
8. Inter-series Transformer: Attending to Products in Time Series Forecasting
   • Authors: Rares Cristian, Pavithra Harsha, Clemente Ocejo, Georgia Perakis, Brian Quanz, Ioannis Spantidakis, Hamza Zerhouni
   • Submitted, 2024
9. An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories
   • Authors: Pavithra Harsha, Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna, Brian Quanz, Dhruv Shah, Chandrashekar Narayanaswami
   • Submitted, 2023
10. Enhancing the Benefits of Dual-Sourcing with Reverse Information Sharing
    • Authors: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson, Georgia Perakis
    • Submitted, 2023
11. Deep Policy Iteration with Integer Programming for Inventory Management
    • Authors: Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam, Brian Quanz, Divya Singhvi
    • MSOM Journal, Volume 27, Issue 2, pp 369-388, 2025 [ pdf ]
12. End-to-End Learning for Optimization via Constraint-Enforcing Approximators
    • Authors: Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz, Ioannis Spantidakis
    • Proceedings of the AAAI Conference on Artificial Intelligence, 37(6), pp 7253-7260, 2023
13. Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
    • Authors: Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandrashekar Narayanaswami
    • Proceedings of the 29th ACM SIGKDD Conference, pp 891-900, 2023 [ pdf ]
14. Learning personalized product recommendations with customer disengagement
    • Authors:Hamsa Bastani , Pavithra Harsha, Georgia Perakis, Divya Singhvi .
    • MSOM Journal, Volume 24, Issue 6, pp 2010-2028, 2022 [ pdf ].
    • Award:
      • Second place in 2019 INFORMS Service Science Best Paper Award
15. A prescriptive machine learning framework to the price-setting newsvendor problem
    • Authors: Pavithra Harsha, Dharmashankar Subramanian, Ramesh Natarajan.
    • INFORMS Journal on Optimization, Volume 3, Issue 3, pp 227-314, 2021 [ pdf ].
    • Superquantile regression decomposition code in MATLAB using CPLEX [ Code, Sample X, Sample Y ].
16. Demand modeling in the presence of unobserved lost sales
    • Authors: Shivaram Subramanian, Pavithra Harsha.
    • Management Science,Volume 67, Issue 6, pp 3803-3833, 2020 [ pdf ].
17. A data-driven approach to personalized bundle pricing and recommendation
    • Authors:Markus Ettl, Pavithra Harsha, Anna Papush, Georgia Perakis.
    • MSOM Journal, Volume 22, Issue 3, pp 461-480, 2020 [ pdf ].
    • Award:
      • Winner of 2017 INFORMS Service Science Best Cluster Paper Award
18. Designing price incentives in a network with social interactions
    • Authors: Maxime Cohen, Pavithra Harsha.
    • MSOM Journal, Volume 22, Issue 2, pp 292-309, 2020 [ pdf ].
19. Dynamic Pricing of omnichannel inventories
    • Authors: Pavithra Harsha, Shivaram Subramanian, Joline Uichanco.
    • MSOM Journal, Volume 21, Issue 1, pp 47-65, February 2019 [ pdf ].
    • Awards:
      • Winner of 2017 INFORMS Revenue Management and Pricing Practice Award
      • Honorable Mention - 2017 MSOM Practice-Based Research Competition
20. A practical price optimization approach for omni-channel retailing
    • Authors: Pavithra Harsha, Shivaram Subramanian, Markus Ettl.
    • INFORMS Journal of Optimization, Volume 1, Issue 3, pp 185-264, Summer 2019 [ pdf ].
21. Optimal management and sizing of energy storage with renewable energy under dynamic pricing
    • Authors: Pavithra Harsha, Munther Dahleh.
    • Dynamic prices
      • IEEE Transactions on Power Systems, Volume 30, Issue 3, pp 1164-1181, May 2015 [ pdf ].
    • Constant price
      • IEEE Conference on Decision and Control and European Control Conference, December 2011 [ pdf ].
22. A framework for the analysis of probabilistic demand response schemes
    • Authors: Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh.
    • IEEE Transactions of Smart Grid, Volume 4, Issue 4, pp 2274-2284, December 2013.
    • [ pdf ]
23. Markdown optimization for a fashion e-tailer: The impact of returning customers
    • Authors: Pavithra Harsha, Zachery Leung, Georgia Perakis.
    • INFORMS Manufacturing and Services Operations Management (MSOM) Conference, June 2011, 2012.
    • In preparation.
24. Tractable markdown optimization for single and multiple items under uncertainty
    • Authors: Pavithra Harsha, Georgia Perakis.
    • Multiple items
      • INFORMS Manufacturing and Services Operations Management (MSOM) Conference, June 2011.
    • Single item
      • INFORMS Manufacturing and Services Operations Management (MSOM) Conference, June 2010].
    • In preparation.
25. Airline response to airport slot auctions
    • Authors: Pavithra Harsha, Cynthia Barnhart, David C. Parkes.
    • In preparation.
26. Strong activity rules for iterative combinatorial auctions
    • Authors: Pavithra Harsha, Cynthia Barnhart, David C. Parkes, Haoqi Zhang.
    • Computers and Operations Research Volume 37, Issue 7, pp 1271-1284, July 2010.
    • [ pdf ]
27. Quantum auctions
    • Authors: Tad Hogg, Pavithra Harsha, Kay-Yut Chen.
    • International Journal of Quantum Information Volume 5, Number 5, pp 751-780, October 2007.
    • [ pdf ]
28. Analytical approach for selection of optimal feed rate in efficient machining of sculptured surfaces
    • Authors: Pavithra Harsha, Vikram Gavini, Ramesh N. Babu.
    • Proceedings of the international conference on manufacturing automation, Hong Kong, pp 227-236, 10-12 December 2002.

Doctoral Thesis

• Mitigating Airport Congestion: Market Mechanisms and Airline Response Models
  • Massachusetts Institute of Technology, Cambridge, MA. Sep 2008.
  • Advisors: Cynthia Barnhart and David C. Parkes.
  • [ Abstract | Extended Abstract | Thesis ]
  • Awards:
    • Honorable mention in 2009 INFORMS Aviation's Application Dissertation Prize
    • Honorable mention in 2009 INFORMS Transportation Science and Logistics Dissertation Prize

Pavithra Harsha