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ORCIDAbhishek K. Umrawal
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Journal Articles
- 2024
[j5]Eilot W. Robson, Dhemath Reddy, Abhishek Kumar Umrawal:
CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models. Proc. VLDB Endow. 17(12): 4409-4412 (2024)- 2023
- [j4]Abhishek K. Umrawal
, Vaneet Aggarwal:
Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence. SIGMETRICS Perform. Evaluation Rev. 50(4): 17-19 (2023) - [j3]Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal:
A Community-Aware Framework for Social Influence Maximization. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1253-1262 (2023) - 2021
- [j2]Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn:
Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. Trans. Data Sci. 2(4): 38:1-38:39 (2021) - [j1]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation. IEEE Trans. Intell. Transp. Syst. 22(4): 2035-2047 (2021)
Conference and Workshop Papers
- 2024
- [c7]Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal:
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CIKM 2024: 3627-3631 - 2023
- [c6]Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn:
Fractional Budget Allocation for Influence Maximization. CDC 2023: 4327-4332 - [c5]Abhishek Kumar Umrawal:
Leveraging Causal Graphs for Blocking in Randomized Experiments. CLeaR 2023: 222-242 - 2022
- [c4]Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn:
An explore-then-commit algorithm for submodular maximization under full-bandit feedback. UAI 2022: 1541-1551 - 2021
- [c3]Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn:
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI 2021: 6557-6565 - [c2]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [c1]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT 2021: 306-339
Informal and Other Publications
- 2024
- [i10]Eliot Wong Robson, Dhemath Reddy, Abhishek K. Umrawal:
CyNetDiff - A Python Library for Accelerated Implementation of Network Diffusion Models. CoRR abs/2404.17059 (2024) - [i9]Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal:
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CoRR abs/2407.05669 (2024) - 2023
- [i8]Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur:
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models. CoRR abs/2308.12272 (2023) - 2022
- [i7]Abhishek Kumar Umrawal, Vaneet Aggarwal:
A Community-Aware Framework for Social Influence Maximization. CoRR abs/2207.08937 (2022) - [i6]Abhishek K. Umrawal, Sean P. Lane, Erin P. Hennes:
A Genetic Algorithm-based Framework for Learning Statistical Power Manifold. CoRR abs/2209.00215 (2022) - 2021
- [i5]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021) - [i4]Abhishek K. Umrawal, Joshua C. C. Chan:
On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints. CoRR abs/2110.12149 (2021) - [i3]Abhishek K. Umrawal:
A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments. CoRR abs/2111.02306 (2021) - 2020
- [i2]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. CoRR abs/2007.13699 (2020) - [i1]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR abs/2011.07687 (2020)
Coauthor Index
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