Arpit Agarwal

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 53

Top Topics

Multi Armed Bandits

Pairwise Comparisons

Stochastic Optimization

Top Venues

Publications

Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. CoRR (2024)
Arpit Agarwal, Rad Niazadeh, Prathamesh Patil
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention. CoRR (2024)
William Brown, Arpit Agarwal
Online Recommendations for Agents with Discounted Adaptive Preferences. ALT (2024)
Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. FAccT (2024)
Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu, Wenzhen Yuan, Edward H. Adelson
Scalable, Simulation-Guided Compliant Tactile Finger Design. CoRR (2024)
Joe Suk, Arpit Agarwal
Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion. CoRR (2024)
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. SODA (2024)
Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu, Wenzhen Yuan, Edward H. Adelson
Scalable Simulation-Guided Compliant Tactile Finger Design. RoboSoft (2024)
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. CoRR (2024)
Joe Suk, Arpit Agarwal
When Can We Track Significant Preference Shifts in Dueling Bandits? CoRR (2023)
Arpit Agarwal, William Brown
Online Recommendations for Agents with Discounted Adaptive Preferences. CoRR (2023)
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 (2023)
Joe Suk, Arpit Agarwal
When Can We Track Significant Preference Shifts in Dueling Bandits? NeurIPS (2023)
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
Semi-Bandit Learning for Monotone Stochastic Optimization. CoRR (2023)
Arpit Agarwal, Eric Balkanski
Learning-Augmented Dynamic Submodular Maximization. CoRR (2023)
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)
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits. COLT (2022)
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil
Sublinear Algorithms for Hierarchical Clustering. CoRR (2022)
Zilin Si, Zirui Zhu, Arpit Agarwal, Stuart Anderson, Wenzhen Yuan
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing. IROS (2022)
Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya
Generating Textual Description Using Modified Beam Search. ICONIP (5) (2022)
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil
Sublinear Algorithms for Hierarchical Clustering. NeurIPS (2022)
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits. CoRR (2022)
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
Batched Dueling Bandits. ICML (2022)
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem. NeurIPS (2022)
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
PAC Top-k Identification under SST in Limited Rounds. AISTATS (2022)
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem. CoRR (2022)
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
Batched Dueling Bandits. CoRR (2022)
William Brown, Arpit Agarwal
Diversified Recommendations for Agents with Adaptive Preferences. NeurIPS (2022)
Zilin Si, Zirui Zhu, Arpit Agarwal, Stuart Anderson, Wenzhen Yuan
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing. CoRR (2022)
Arpit Agarwal, William Brown
Diversified Recommendations for Agents with Adaptive Preferences. CoRR (2022)
Arpit Agarwal, Timothy Man, Wenzhen Yuan
Simulation of Vision-based Tactile Sensors using Physics based Rendering. ICRA (2021)
Arpit Agarwal, Shivani Agarwal, Prathamesh Patil
Stochastic Dueling Bandits with Adversarial Corruption. ALT (2021)
Prabhu Ramachandran, Aditya Bhosale, Kunal Puri, Pawan Negi, Abhinav Muta, A. Dinesh, Dileep Menon, Rahul Govind, Suraj Sanka, Amal S. Sebastian, Ananyo Sen, Rohan Kaushik, Anshuman Kumar, Vikas Kurapati, Mrinalgouda Patil, Deep Tavker, Pankaj Pandey, Chandrashekhar Kaushik, Arkopal Dutt, Arpit Agarwal
PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics. ACM Trans. Math. Softw. 47 (4) (2021)
Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. CoRR (2021)
Arpit Agarwal
Machine learning models for prediction of droplet collision outcomes. CoRR (2021)
Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. IROS (2021)
Arpit Agarwal, Nicholas Johnson, Shivani Agarwal
Choice Bandits. NeurIPS (2020)
Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. ICML (2020)
Arpit Agarwal, Tim Man, Wenzhen Yuan
Simulation of Vision-based Tactile Sensors using Physics based Rendering. CoRR (2020)
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
Peer Prediction with Heterogeneous Users. ACM Trans. Economics and Comput. 8 (1) (2020)
Arpit Agarwal, Sepehr Assadi, Sanjeev Khanna
Stochastic Submodular Cover with Limited Adaptivity. SODA (2019)
Prabhu Ramachandran, Kunal Puri, Aditya Bhosale, A. Dinesh, Abhinav Muta, Pawan Negi, Rahul Govind, Suraj Sanka, Pankaj Pandey, Chandrashekhar Kaushik, Anshuman Kumar, Ananyo Sen, Rohan Kaushik, Mrinalgouda Patil, Deep Tavker, Dileep Menon, Vikas Kurapati, Amal S. Sebastian, Arkopal Dutt, Arpit Agarwal
PySPH: a Python-based framework for smoothed particle hydrodynamics. CoRR (2019)
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
Model Learning for Look-Ahead Exploration in Continuous Control. AAAI (2019)
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR (2018)
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL (2018)
Arpit Agarwal, Prathamesh Patil, Shivani Agarwal
Accelerated Spectral Ranking. ICML (2018)
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
Model Learning for Look-ahead Exploration in Continuous Control. CoRR (2018)
Arpit Agarwal, Sepehr Assadi, Sanjeev Khanna
Stochastic Submodular Cover with Limited Adaptivity. CoRR (2018)
Arpit Agarwal, Shivani Agarwal, Sepehr Assadi, Sanjeev Khanna
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. COLT (2017)
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
Peer Prediction with Heterogeneous Users. EC (2017)
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)
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
Informed Truthfulness in Multi-Task Peer Prediction. CoRR (2016)
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
Informed Truthfulness in Multi-Task Peer Prediction. EC (2016)
Arpit Agarwal, Shivani Agarwal
On Consistent Surrogate Risk Minimization and Property Elicitation. COLT (2015)
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. ICML (2014)
Arpit Agarwal, Ritu Garg, Santanu Chaudhury
Greedy Search for Active Learning of OCR. ICDAR (2013)
Shengdong Zhao, Fanny Chevalier, Wei Tsang Ooi, Chee Yuan Lee, Arpit Agarwal
AutoComPaste: auto-completing text as an alternative to copy-paste. AVI (2012)
Arpit Agarwal, Rahul Banerjee, Varun Pandey, Riya Charaya
An Optimal Human Adaptive Algorithm to Find Action - Reaction Word-Pairs. HCI (22) (2011)
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)