Arun Rajkumar

According to our database, Arun Rajkumar authored at least 31 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability.

Akshay G. Rao, Chandra Shekar Lakshminarayanan, Arun Rajkumar

CoRR, February, 2025

2024

Closing the Gap in the Trade-off between Fair Representations and Accuracy.

Biswajit Rout, Ananya B. Sai, Arun Rajkumar

CoRR, 2024

A Graph Theoretic Approach for Preference Learning with Feature Information.

Aadirupa Saha, Arun Rajkumar

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Linearly Constrained and Structured Reinforcement Learning Algorithm for Wireless Link Adaptation.

Utsav Dey, Arun Rajkumar, Lakshmi Narasimhan Theagarajan

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

2022

Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality.

Chandrashekar Lakshminarayanan, Amit Vikram Singh, Arun Rajkumar

CoRR, 2022

Byzantine Spectral Ranking.

Arnhav Datar, Arun Rajkumar, John Augustine

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

A Theory of Tournament Representations.

Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs.

Athul M. A, Arun Rajkumar

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

Censored Semi-Bandits for Resource Allocation.

Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran

CoRR, 2021

On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons.

Vishnu Veerathu, Arun Rajkumar

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.

Dev Yashpal Sheth, Arun Rajkumar

Proceedings of the IEEE International Conference on Data Mining, 2021

Sequential Ski Rental Problem.

Anant Shah, Arun Rajkumar

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.

Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny

CoRR, 2020

Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters.

Dev Yashpal Sheth, Arun Rajkumar

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.

Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

TrustCircle: a novel trust framework for creating a personalised recommender system that helps evaluate trustworthiness in sharing economy services.

Jayati Bandyopadhyay, Nupur Labh, Simarjot Kaur, Arun Rajkumar, Sourav Bhattacharya, Saurabh Srivastava

Proceedings of the IndiaHCI 2019: Proceedings of the 10th Indian Conference on Human-Computer Interaction, 2019

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning Transferable Feature Representations Using Neural Networks.

Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar

CoRR, 2018

Online domain adaptation by exploiting labeled features and pro-active learning.

Raghu Krishnapuram, Arun Rajkumar, Adithya Acharya, Nikhil Dhara Venkata, Manjunath M. Goudar, Akshay P. Sarashetti

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.

U. N. Niranjan, Arun Rajkumar

CoRR, 2017

Provable Inductive Robust PCA via Iterative Hard Thresholding.

U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning to Partition using Score Based Compatibilities.

Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula

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.

U. N. Niranjan, Arun Rajkumar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions.

Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal

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.

Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy

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?

Arun Rajkumar, Shivani Agarwal

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.

Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Online Decision-Making in General Combinatorial Spaces.

Arun Rajkumar, Shivani Agarwal

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.

Arun Rajkumar, Shivani Agarwal

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

2012

A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification.

Arun Rajkumar, Shivani Agarwal

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012