collaborators

5 papers

stat.ME2026

Near-Optimal Nitrogen Recommendations for Precision Agriculture via Sequential Screening and Hierarchical Refinement

Sakshi Arya, Abdul-Nasah Soale, Hossein Moradi Rekabdarkolaee

Nitrogen fertilizer management plays a central role in balancing agricultural productivity and environmental sustainability, yet identifying optimal application strategies remains…

stat.ML2026

Non-Linear Model-Based Sequential Decision-Making in Agriculture

Sakshi Arya, Wentao Lin

Agricultural decision-making faces a dual challenge: sustaining high yields to meet global food security needs while reducing the environmental impacts of input use, including fert…

stat.ML2026

Batched Single-Index Global Multi-Armed Bandits with Covariates

Sakshi Arya, Hyebin Song

The multi-armed bandits (MAB) framework is a widely used approach for sequential decision-making, where a decision-maker selects an arm in each round with the goal of maximizing lo…

stat.ML2026

Kernel Single-Index Bandits: Estimation, Inference, and Learning

Sakshi Arya, Satarupa Bhattacharjee, Bharath K. Sriperumbudur

We study contextual bandits with finitely many actions in which the reward of each arm follows a single-index model with an arm-specific index parameter and an unknown nonparametri…

stat.ML2025

Batched Nonparametric Bandits via k-Nearest Neighbor UCB

Sakshi Arya

We study sequential decision-making in batched nonparametric contextual bandits, where actions are selected over a finite horizon divided into a small number of batches. Motivated…