Arpit Agarwal

Orcid: 0009-0006-6758-8904

According to our database1, Arpit Agarwal authored at least 40 papers between 2011 and 2024.

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Bibliography

2024
Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion.
CoRR, 2024

Misalignment, Learning, and Ranking: Harnessing Users Limited Attention.
CoRR, 2024

Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Scalable Simulation-Guided Compliant Tactile Finger Design.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Online Recommendations for Agents with Discounted Adaptive Preferences.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Semi-Bandit Learning for Monotone Stochastic Optimization.
CoRR, 2023

Learning-Augmented Dynamic Submodular Maximization.
CoRR, 2023

When Can We Track Significant Preference Shifts in Dueling Bandits?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robotic Defect Inspection with Visual and Tactile Perception for Large-Scale Components.
IROS, 2023

2022
Diversified Recommendations for Agents with Adaptive Preferences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sublinear Algorithms for Hierarchical Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Generating Textual Description Using Modified Beam Search.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Batched Dueling Bandits.
Proceedings of the International Conference on Machine Learning, 2022

A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

PAC Top-k Identification under SST in Limited Rounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.
ACM Trans. Math. Softw., 2021

Machine learning models for prediction of droplet collision outcomes.
CoRR, 2021

Improving Grasp Stability with Rotation Measurement from Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simulation of Vision-based Tactile Sensors using Physics based Rendering.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Stochastic Dueling Bandits with Adversarial Corruption.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Peer Prediction with Heterogeneous Users.
ACM Trans. Economics and Comput., 2020

Choice Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Stochastic Submodular Cover with Limited Adaptivity.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Model Learning for Look-Ahead Exploration in Continuous Control.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.
CoRR, 2018

Accelerated Spectral Ranking.
Proceedings of the 35th International Conference on Machine Learning, 2018

Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
Data storage security in cloud computing using container clustering.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Informed Truthfulness in Multi-Task Peer Prediction.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2015
On Consistent Surrogate Risk Minimization and Property Elicitation.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Greedy Search for Active Learning of OCR.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012
AutoComPaste: auto-completing text as an alternative to copy-paste.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2012

2011

An Optimal Human Adaptive Algorithm to Find Action - Reaction Word-Pairs.
Proceedings of the HCI International 2011 - Posters' Extended Abstracts, 2011


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