Abhishek K. Umrawal

According to our database, Abhishek K. Umrawal authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Theoretical Game of Attacks via Compositional Skills.

Xinbo Wu, Huan Zhang, Abhishek K. Umrawal, Lav R. Varshney

CoRR, May, 2026

LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection.

Jinyu Xu, Abhishek K. Umrawal

CoRR, January, 2026

Ungraded Assignments in Introductory Computing: A Report.

Yehya Sleiman Tellawi, Abhishek K. Umrawal

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

2025

A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence.

Eliot W. Robson, Abhishek K. Umrawal

CoRR, December, 2025

A Pressure-Based Diffusion Model for Influence Maximization on Social Networks.

Curt Stutsman, Eliot W. Robson, Abhishek K. Umrawal

CoRR, September, 2025

Content filtering methods for music recommendation: A review.

Terence Zeng, Abhishek K. Umrawal

CoRR, July, 2025

Concealment of Intent: A Game-Theoretic Analysis.

Xinbo Wu, Abhishek K. Umrawal, Lav R. Varshney

CoRR, May, 2025

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation.

Yingbing Huang, Deming Chen, Abhishek K. Umrawal

CoRR, February, 2025

2024

CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models.

Eliot W. Robson, Dhemath Reddy, Abhishek Kumar Umrawal

Proc. VLDB Endow., August, 2024

Fractional Budget Allocation for Influence Maximization under General Marketing Strategies.

Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Community-Aware Framework for Social Influence Maximization.

Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence.

Abhishek K. Umrawal, Vaneet Aggarwal

SIGMETRICS Perform. Evaluation Rev., April, 2023

Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models.

Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur

CoRR, 2023

Leveraging Causal Graphs for Blocking in Randomized Experiments.

Abhishek Kumar Umrawal

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Fractional Budget Allocation for Influence Maximization.

Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Genetic Algorithm-based Framework for Learning Statistical Power Manifold.

Abhishek K. Umrawal, Sean P. Lane, Erin P. Hennes

CoRR, 2022

A Community-Aware Framework for Social Influence Maximization.

Abhishek Kumar Umrawal, Vaneet Aggarwal

CoRR, 2022

An explore-then-commit algorithm for submodular maximization under full-bandit feedback.

Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation.

Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal

IEEE Trans. Intell. Transp. Syst., 2021

Stochastic Top <i>K</i>-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization.

Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn

Trans. Data Sci., 2021

A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments.

Abhishek K. Umrawal

CoRR, 2021

On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints.

Abhishek K. Umrawal, Joshua C. C. Chan

CoRR, 2021

Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback.

Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal

Proceedings of the Algorithmic Learning Theory, 2021

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.

Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits.

Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DART: aDaptive Accept RejecT for non-linear top-K subset identification.

Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal

CoRR, 2020

FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation.

Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal

CoRR, 2020