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ORCIDArpit Agarwal
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Arpit Agarwal 0001 — Indian Institute of Technology Bombay, Mumbai, India (and 1 more)
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2020 – today
- 2026
[i19]Ramakrishnan Krishnamurthy, Arpit Agarwal, Lakshminarayanan Subramanian, Maximilian Nickel:
Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits. CoRR abs/2604.08643 (2026)- [i18]Prarabdh Shukla, Ritik, Suhas Rao, Arpit Agarwal, Arjun Nitin Bhagoji:
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries. CoRR abs/2606.26936 (2026) - 2025
- [j2]Arpit Agarwal
, Mohammad Amin Mirzaee, Xiping Sun, Wenzhen Yuan:
A modularized design approach for GelSight family of vision-based tactile sensors. Int. J. Robotics Res. 44(13): 2195-2214 (2025) - [i17]Arpit Agarwal, Mohammad Amin Mirzaee, Xiping Sun, Wenzhen Yuan:
A Modularized Design Approach for GelSight Family of Vision-based Tactile Sensors. CoRR abs/2504.14739 (2025) - [i16]Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi:
In-Vivo Skin 3-D Surface Reconstruction and Wrinkle Depth Estimation using Handheld High Resolution Tactile Sensing. CoRR abs/2509.11385 (2025) - [i15]Kailash Gopal Darmasubramanian, Akash Pareek, Arindam Khan, Arpit Agarwal:
Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models. CoRR abs/2509.20304 (2025) - 2024
- [j1]Joe Suk, Arpit Agarwal:
Non-Stationary Dueling Bandits Under a Weighted Borda Criterion. Trans. Mach. Learn. Res. 2024 (2024) - [c17]William Brown, Arpit Agarwal:
Online Recommendations for Agents with Discounted Adaptive Preferences. ALT 2024: 244-281 - [c16]Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. FAccT 2024: 1763-1773 - [c15]Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu, Wenzhen Yuan, Edward H. Adelson:
Scalable Simulation-Guided Compliant Tactile Finger Design. RoboSoft 2024: 1068-1074 - [i14]Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu, Wenzhen Yuan, Edward H. Adelson:
Scalable, Simulation-Guided Compliant Tactile Finger Design. CoRR abs/2403.04638 (2024) - [i13]Joe Suk, Arpit Agarwal:
Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion. CoRR abs/2403.12950 (2024) - [i12]Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. CoRR abs/2406.01611 (2024) - [i11]Akash Agrawal, Mayesh Mohapatra, Abhinav Raja, Paritosh Tiwari, Vishwajeet Pattanaik, Neeru Jaiswal, Arpit Agarwal, Punit Rathore:
A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations. CoRR abs/2410.08218 (2024) - 2023
- [c14]Arpit Agarwal, Abhiroop Ajith, Chengtao Wen, Veniamin Stryzheus, Brian Miller, Matthew Chen, Micah K. Johnson, Jose Luis Susa Rincon, Justinian Rosca, Wenzhen Yuan:
Robotic Defect Inspection with Visual and Tactile Perception for Large-Scale Components. IROS 2023: 10110-10116 - [c13]Joe Suk, Arpit Agarwal:
When Can We Track Significant Preference Shifts in Dueling Bandits? NeurIPS 2023 - [i10]Arpit Agarwal, William Brown:
Online Recommendations for Agents with Discounted Adaptive Preferences. CoRR abs/2302.06014 (2023) - [i9]Joe Suk, Arpit Agarwal:
When Can We Track Significant Preference Shifts in Dueling Bandits? CoRR abs/2302.06595 (2023) - [i8]Arpit Agarwal, Abhiroop Ajith, Chengtao Wen, Veniamin Stryzheus, Brian Miller, Matthew Chen, Micah K. Johnson, Jose Luis Susa Rincon, Justinian Rosca, Wenzhen Yuan:
Robotic Defect Inspection with Visual and Tactile Perception for Large-scale Components. CoRR abs/2309.04590 (2023) - 2022
- [c12]Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya:
Generating Textual Description Using Modified Beam Search. ICONIP (5) 2022: 136-147 - [c11]Zilin Si, Zirui Zhu, Arpit Agarwal, Stuart Anderson, Wenzhen Yuan:
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing. IROS 2022: 7809-7816 - [c10]William Brown, Arpit Agarwal:
Diversified Recommendations for Agents with Adaptive Preferences. NeurIPS 2022 - [i7]Zilin Si, Zirui Zhu, Arpit Agarwal, Stuart Anderson, Wenzhen Yuan:
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing. CoRR abs/2208.02885 (2022) - [i6]Arpit Agarwal, William Brown:
Diversified Recommendations for Agents with Adaptive Preferences. CoRR abs/2210.07773 (2022) - 2021
- [c9]Arpit Agarwal, Timothy Man, Wenzhen Yuan:
Simulation of Vision-based Tactile Sensors using Physics based Rendering. ICRA 2021: 1-7 - [c8]Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan:
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. IROS 2021: 6809-6816 - [i5]Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan:
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. CoRR abs/2108.00301 (2021) - [i4]Arpit Agarwal:
Machine learning models for prediction of droplet collision outcomes. CoRR abs/2110.00167 (2021) - 2020
- [i3]Arpit Agarwal, Tim Man, Wenzhen Yuan:
Simulation of Vision-based Tactile Sensors using Physics based Rendering. CoRR abs/2012.13184 (2020)
2010 – 2019
- 2019
- [c7]Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-Ahead Exploration in Continuous Control. AAAI 2019: 3151-3158 - 2018
- [c6]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL 2018: 422-431 - [i2]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR abs/1811.08067 (2018) - [i1]Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-ahead Exploration in Continuous Control. CoRR abs/1811.08086 (2018) - 2016
- [c5]Rohan Raj Gupta, Gaurav Mishra, Subham Katara, Arpit Agarwal, Mrinal Kanti Sarkar, Rupayan Das, Sanjay Kumar:
Data storage security in cloud computing using container clustering. UEMCON 2016: 1-7 - 2013
- [c4]Arpit Agarwal, Ritu Garg, Santanu Chaudhury:
Greedy Search for Active Learning of OCR. ICDAR 2013: 837-841 - 2012
- [c3]Shengdong Zhao, Fanny Chevalier, Wei Tsang Ooi, Chee Yuan Lee, Arpit Agarwal:
AutoComPaste: auto-completing text as an alternative to copy-paste. AVI 2012: 365-372 - 2011
- [c2]Arpit Agarwal, Rahul Banerjee, Varun Pandey, Riya Charaya:
An Optimal Human Adaptive Algorithm to Find Action - Reaction Word-Pairs. HCI (22) 2011: 255-259 - [c1]Brad Calder, Ju Wang, Aaron Ogus, Niranjan Nilakantan, Arild Skjolsvold, Sam McKelvie, Yikang Xu, Shashwat Srivastav, Jiesheng Wu, Huseyin Simitci, Jaidev Haridas, Chakravarthy Uddaraju, Hemal Khatri, Andrew Edwards, Vaman Bedekar, Shane Mainali, Rafay Abbasi, Arpit Agarwal, Mian Fahim ul Haq, Muhammad Ikram ul Haq, Deepali Bhardwaj, Sowmya Dayanand, Anitha Adusumilli, Marvin McNett, Sriram Sankaran, Kavitha Manivannan, Leonidas Rigas:
Windows Azure Storage: a highly available cloud storage service with strong consistency. SOSP 2011: 143-157
Coauthor Index
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