Pavithra Harsha

According to our database, Pavithra Harsha authored at least 16 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories.

Pavithra Harsha, Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna, Brian Quanz, Dhruv Shah, Chandra Narayanaswami

CoRR, 2023

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

End-to-End Learning for Optimization via Constraint-Enforcing Approximators.

Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Leo Quanz, Ioannis Spantidakis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Personalized Product Recommendations with Customer Disengagement.

Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi

Manuf. Serv. Oper. Manag., 2022

Hierarchy-guided Model Selection for Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

CoRR, 2022

2021

A Prescriptive Machine-Learning Framework to the Price-Setting Newsvendor Problem.

Pavithra Harsha, Ramesh Natarajan, Dharmashankar Subramanian

INFORMS J. Optim., July, 2021

Demand Modeling in the Presence of Unobserved Lost Sales.

Shivaram Subramanian, Pavithra Harsha

Manag. Sci., 2021

Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.

Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi

CoRR, 2021

2020

A Data-Driven Approach to Personalized Bundle Pricing and Recommendation.

Markus Ettl, Pavithra Harsha, Anna Papush, Georgia Perakis

Manuf. Serv. Oper. Manag., 2020

Designing Price Incentives in a Network with Social Interactions.

Maxime C. Cohen, Pavithra Harsha

Manuf. Serv. Oper. Manag., 2020

2019

A Practical Price Optimization Approach for Omnichannel Retailing.

Pavithra Harsha, Shivaram Subramanian, Markus Ettl

INFORMS J. Optim., July, 2019

Dynamic Pricing of Omnichannel Inventories.

Pavithra Harsha, Shivaram Subramanian, Joline Uichanco

Manuf. Serv. Oper. Manag., 2019

Special Issue of <i>INFORMS Journal on Applied Analytics</i> - Analytics Behind Designing and Managing Omni-channel Supply Chains.

Burcu B. Keskin, Pavithra Harsha

INFORMS J. Appl. Anal., 2019

2013

A Framework for the Analysis of Probabilistic Demand Response Schemes.

Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh

IEEE Trans. Smart Grid, 2013

2011

Optimal sizing of energy storage for efficient integration of renewable energy.

Pavithra Harsha, Munther A. Dahleh

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Strong activity rules for iterative combinatorial auctions.

Pavithra Harsha, Cynthia Barnhart, David C. Parkes, Haoqi Zhang

Comput. Oper. Res., 2010