Abhishek K. Umrawal

24 papers A* 1A 1B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection.
CoRR
Jinyu Xu, Abhishek K. Umrawal
2026 — conf
Ungraded Assignments in Introductory Computing: A Report.
SIGCSE (2)
Yehya Sleiman Tellawi, Abhishek K. Umrawal
2025 J jnl
A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence.
CoRR
Eliot W. Robson, Abhishek K. Umrawal
2025 J jnl
A Pressure-Based Diffusion Model for Influence Maximization on Social Networks.
CoRR
Curt Stutsman, Eliot W. Robson, Abhishek K. Umrawal
2025 J jnl
Concealment of Intent: A Game-Theoretic Analysis.
CoRR
Xinbo Wu, Abhishek K. Umrawal, Lav R. Varshney
2025 J jnl
Content filtering methods for music recommendation: A review.
CoRR
Terence Zeng, Abhishek K. Umrawal
2025 J jnl
JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation.
CoRR
Yingbing Huang, Deming Chen, Abhishek K. Umrawal
2025 J jnl
Ungraded Assignments in Introductory Computing: A Report.
CoRR
Yehya Sleiman Tellawi, Abhishek K. Umrawal
2024 J jnl
CyNetDiff - A Python Library for Accelerated Implementation of Network Diffusion Models.
CoRR
Eliot Wong Robson, Dhemath Reddy, Abhishek K. Umrawal
2024 A conf
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies.
CIKM
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
2024 J jnl
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies.
CoRR
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
2023 J jnl
A Community-Aware Framework for Social Influence Maximization.
IEEE Trans. Emerg. Top. Comput. Intell.
Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
2023 — conf
Fractional Budget Allocation for Influence Maximization.
CDC
Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn
2023 J jnl
Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence.
SIGMETRICS Perform. Evaluation Rev.
Abhishek K. Umrawal, Vaneet Aggarwal
2022 J jnl
A Genetic Algorithm-based Framework for Learning Statistical Power Manifold.
CoRR
Abhishek K. Umrawal, Sean P. Lane, Erin P. Hennes
2021 J jnl
A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments.
CoRR
Abhishek K. Umrawal
2021 A* conf
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
ICAPS
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021 J jnl
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
CoRR
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021 J jnl
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation.
IEEE Trans. Intell. Transp. Syst.
Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal
2021 J jnl
On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints.
CoRR
Abhishek K. Umrawal, Joshua C. C. Chan
2021 J jnl
Stochastic Top
Trans. Data Sci.
Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn
2021 B conf
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback.
ALT
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2020 J jnl
DART: aDaptive Accept RejecT for non-linear top-K subset identification.
CoRR
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2020 J jnl
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation.
CoRR
Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal