activity
20072025
most citedDeep Policy Iteration with Integer Programming for Inventory Management

16 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Aligning Learning and Endogenous Decision-Making

Rares Cristian, Pavithra Harsha, Georgia Perakis +1

Many of the observations we make are biased by our decisions. For instance, the demand of items is impacted by the prices set, and online checkout choices are influenced by the ass…

cs.LG2025

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach

Rares Cristian, Pavithra Harsha, Georgia Perakis +1

End-to-end learning has become a widely applicable and studied problem in training predictive ML models to be aware of their impact on downstream decision-making tasks. These end-t…

cs.LG2024★ 1 cited

Inter-Series Transformer: Attending to Products in Time Series Forecasting

Rares Cristian, Pavithra Harsha, Clemente Ocejo +4

Time series forecasting is an important task in many fields ranging from supply chain management to weather forecasting. Recently, Transformer neural network architectures have sho…

math.OC2023

An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories

Pavithra Harsha, Shivaram Subramanian, Ali Koc +4

We introduce a new class of data-driven and distribution-free optimistic-robust bimodal inventory optimization (BIO) strategy to effectively allocate inventory across a retail chai…

cs.LG2022★ 3 cited

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting

Arindam Jati, Vijay Ekambaram, Shaonli Pal +6

Selecting the right set of hyperparameters is crucial in time series forecasting. The classical temporal cross-validation framework for hyperparameter optimization (HPO) often lead…

cs.LG2021★ 16 cited

Deep Policy Iteration with Integer Programming for Inventory Management

Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam +2

We present a Reinforcement Learning (RL) based framework for optimizing long-term discounted reward problems with large combinatorial action space and state dependent constraints.…

quant-ph2007

Quantum Auctions

Tad Hogg, Pavithra Harsha, Kay-Yut Chen

We present a quantum auction protocol using superpositions to represent bids and distributed search to identify the winner(s). Measuring the final quantum state gives the auction o…