Arpit Agarwal

CoRR, 2024

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

[BibT_eX]

[DOI]

Rad Niazadeh

CoRR, 2024

Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Scalable Simulation-Guided Compliant Tactile Finger Design.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Semi-Bandit Learning for Monotone Stochastic Optimization.

[BibT_eX]

[DOI]

Rohan Ghuge

Viswanath Nagarajan

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Online Recommendations for Agents with Discounted Adaptive Preferences.

[BibT_eX]

[DOI]

William Brown

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Learning-Augmented Dynamic Submodular Maximization.

[BibT_eX]

[DOI]

Eric Balkanski

CoRR, 2023

When Can We Track Significant Preference Shifts in Dueling Bandits?

[BibT_eX]

[DOI]

Joe Suk

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.

[BibT_eX]

[DOI]

Jose Luis Susa Rincon

Justinian Rosca

Wenzhen Yuan

IROS, 2023

2022

Diversified Recommendations for Agents with Adaptive Preferences.

[BibT_eX]

[DOI]

William Brown

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sublinear Algorithms for Hierarchical Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rohan Ghuge

Viswanath Nagarajan

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Generating Textual Description Using Modified Beam Search.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Batched Dueling Bandits.

[BibT_eX]

[DOI]

Rohan Ghuge

Viswanath Nagarajan

Proceedings of the International Conference on Machine Learning, 2022

A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits.

[BibT_eX]

[DOI]

Sanjeev Khanna

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

PAC Top-k Identification under SST in Limited Rounds.

[BibT_eX]

[DOI]

Sanjeev Khanna

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2021

Machine learning models for prediction of droplet collision outcomes.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Grasp Stability with Rotation Measurement from Tactile Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simulation of Vision-based Tactile Sensors using Physics based Rendering.

[BibT_eX]

[DOI]

Timothy Man

Wenzhen Yuan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Stochastic Dueling Bandits with Adversarial Corruption.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 2021

2020

Peer Prediction with Heterogeneous Users.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2020

Choice Bandits.

[BibT_eX]

[DOI]

Nicholas Johnson

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.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Stochastic Submodular Cover with Limited Adaptivity.

[BibT_eX]

[DOI]

Sepehr Assadi

Sanjeev Khanna

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Model Learning for Look-Ahead Exploration in Continuous Control.

[BibT_eX]

[DOI]

Katharina Muelling

Katerina Fragkiadaki

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.

[BibT_eX]

[DOI]

Ricson Cheng

Katerina Fragkiadaki

CoRR, 2018

Accelerated Spectral Ranking.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions.

[BibT_eX]

[DOI]

Ricson Cheng

Katerina Fragkiadaki

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.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Data storage security in cloud computing using container clustering.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Informed Truthfulness in Multi-Task Peer Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2015

On Consistent Surrogate Risk Minimization and Property Elicitation.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

2014

GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare.

[BibT_eX]

[DOI]

Harikrishna Narasimhan

Shivaram Kalyanakrishnan

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Greedy Search for Active Learning of OCR.

[BibT_eX]

[DOI]