A nonparametric framework for quantifying generative inference on neuromorphic systems. - Ojash Neopane; Srinjoy Das; Ery Arias-Castro; Kenneth Kreutz-Delgado (ISCAS, 2016)

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. - Xinyu Zhang 009; Srinjoy Das; Ojash Neopane; Kenneth Kreutz-Delgado (CoRR, 2017)

Best Arm Identification under Additive Transfer Bandits. - Ojash Neopane; Aaditya Ramdas; Aarti Singh (ACSCC, 2021)

Kernelized Offline Contextual Dueling Bandits. - Viraj Mehta; Ojash Neopane; Vikramjeet Das; Sen Lin; Jeff Schneider 001; Willie Neiswanger (CoRR, 2023)

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. - Viraj Mehta; Vikramjeet Das; Ojash Neopane; Yijia Dai; Ilija Bogunovic; Jeff G. Schneider; Willie Neiswanger (CoRR, 2023)

Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect. - Ojash Neopane; Aaditya Ramdas; Aarti Singh (AISTATS, 2025)

Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect. - Ojash Neopane; Aaditya Ramdas; Aarti Singh (CoRR, 2025)