Arun Rajkumar

According to our database1, Arun Rajkumar authored at least 25 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality.
CoRR, 2022

Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
A Theory of Tournament Representations.
CoRR, 2021

Censored Semi-Bandits for Resource Allocation.
CoRR, 2021

On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget.
Proceedings of the IEEE International Conference on Data Mining, 2021

Sequential Ski Rental Problem.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems.
CoRR, 2020

Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lovasz Convolutional Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning Transferable Feature Representations Using Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Lovasz Convolutional Networks.
CoRR, 2018

Online domain adaptation by exploiting labeled features and pro-active learning.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier.
CoRR, 2017

Provable Inductive Robust PCA via Iterative Hard Thresholding.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning to Partition using Score Based Compatibilities.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Inductive Pairwise Ranking: Going Beyond the <i>n</i> log(<i>n</i>) Barrier.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multi-Source Iterative Adaptation for Cross-Domain Classification.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs?
Proceedings of the 29th Conference on Learning Theory, 2016

2015
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Online Decision-Making in General Combinatorial Spaces.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012


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