FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. - Kaushik Manchella; Abhishek K. Umrawal; Vaneet Aggarwal (CoRR, 2020)

DART: aDaptive Accept RejecT for non-linear top-K subset identification. - Mridul Agarwal; Vaneet Aggarwal; Christopher J. Quinn; Abhishek K. Umrawal (CoRR, 2020)

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. - Mridul Agarwal; Vaneet Aggarwal; Abhishek Kumar Umrawal; Christopher J. Quinn (AAAI, 2021)

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. - Jiayu Chen; Abhishek K. Umrawal; Tian Lan 001; Vaneet Aggarwal (ICAPS, 2021)

Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. - Mridul Agarwal; Vaneet Aggarwal; Christopher J. Quinn; Abhishek K. Umrawal (ALT, 2021)

On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints. - Abhishek K. Umrawal; Joshua C. C. Chan (CoRR, 2021)

A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments. - Abhishek K. Umrawal (CoRR, 2021)

Stochastic Top K-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)

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)

An explore-then-commit algorithm for submodular maximization under full-bandit feedback. - Guanyu Nie; Mridul Agarwal; Abhishek Kumar Umrawal; Vaneet Aggarwal; Christopher John Quinn (UAI, 2022)

A Community-Aware Framework for Social Influence Maximization. - Abhishek Kumar Umrawal; Vaneet Aggarwal (CoRR, 2022)

A Genetic Algorithm-based Framework for Learning Statistical Power Manifold. - Abhishek K. Umrawal; Sean P. Lane; Erin P. Hennes (CoRR, 2022)

Fractional Budget Allocation for Influence Maximization. - Abhishek K. Umrawal; Vaneet Aggarwal; Christopher J. Quinn (CDC, 2023)

Leveraging Causal Graphs for Blocking in Randomized Experiments. - Abhishek Kumar Umrawal (CLeaR, 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 the Community Structure of a Social Network for Maximizing the Spread of Influence. - Abhishek K. Umrawal; Vaneet Aggarwal (SIGMETRICS Perform. Evaluation Rev., 2023)

A Community-Aware Framework for Social Influence Maximization. - Abhishek K. Umrawal; Christopher J. Quinn; Vaneet Aggarwal (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. - Akhil Bhimaraju; Eliot W. Robson; Lav R. Varshney; Abhishek K. Umrawal (CIKM, 2024)

CyNetDiff - A Python Library for Accelerated Implementation of Network Diffusion Models. - Eliot Wong Robson; Dhemath Reddy; Abhishek K. Umrawal (CoRR, 2024)

CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models. - Eilot W. Robson; Dhemath Reddy; Abhishek Kumar Umrawal (Proc. VLDB Endow., 2024)

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation. - Yingbing Huang; Deming Chen; Abhishek K. Umrawal (CoRR, 2025)

Concealment of Intent: A Game-Theoretic Analysis. - Xinbo Wu; Abhishek K. Umrawal; Lav R. Varshney (CoRR, 2025)

Content filtering methods for music recommendation: A review. - Terence Zeng; Abhishek K. Umrawal (CoRR, 2025)