Arun Rajkumar

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Pairwise Comparisons

Feature Representations

Resource Allocation

Top Venues

Publications

Biswajit Rout, Ananya B. Sai, Arun Rajkumar
Closing the Gap in the Trade-off between Fair Representations and Accuracy. CoRR (2024)
Utsav Dey, Arun Rajkumar, Lakshmi Narasimhan Theagarajan
Linearly Constrained and Structured Reinforcement Learning Algorithm for Wireless Link Adaptation. WiOpt (2023)
Chandrashekar Lakshminarayanan, Amit Vikram Singh, Arun Rajkumar
Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality. CoRR (2022)
Arnhav Datar, Arun Rajkumar, John Augustine
Byzantine Spectral Ranking. NeurIPS (2022)
Athul M. A, Arun Rajkumar
Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs. COMAD/CODS (2022)
Arnhav Datar, Arun Rajkumar, John Augustine
Byzantine Spectral Ranking. CoRR (2022)
Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
A Theory of Tournament Representations. ICLR (2022)
Dev Yashpal Sheth, Arun Rajkumar
PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget. ICDM (2021)
Anant Shah, Arun Rajkumar
Sequential Ski Rental Problem. AAMAS (2021)
Vishnu Veerathu, Arun Rajkumar
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons. NeurIPS (2021)
Anant Shah, Arun Rajkumar
Sequential Ski Rental Problem. CoRR (2021)
Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
A Theory of Tournament Representations. CoRR (2021)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits for Resource Allocation. CoRR (2021)
Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. CoRR (2020)
Dev Yashpal Sheth, Arun Rajkumar
Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters. COMAD/CODS (2020)
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar
Lovasz Convolutional Networks. AISTATS (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. NeurIPS (2019)
Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan
Learning Transferable Feature Representations Using Neural Networks. ACL (1) (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. CoRR (2019)
Jayati Bandyopadhyay, Nupur Labh, Simarjot Kaur, Arun Rajkumar, Sourav Bhattacharya, Saurabh Srivastava
TrustCircle: a novel trust framework for creating a personalised recommender system that helps evaluate trustworthiness in sharing economy services. IndiaHCI (2019)
Raghu Krishnapuram, Arun Rajkumar, Adithya Acharya, Nikhil Dhara Venkata, Manjunath M. Goudar, Akshay P. Sarashetti
Online domain adaptation by exploiting labeled features and pro-active learning. COMAD/CODS (2018)
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar
Lovasz Convolutional Networks. CoRR (2018)
U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
Provable Inductive Robust PCA via Iterative Hard Thresholding. UAI (2017)
Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
Learning to Partition using Score Based Compatibilities. CoRR (2017)
U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
Provable Inductive Robust PCA via Iterative Hard Thresholding. CoRR (2017)
U. N. Niranjan, Arun Rajkumar
) Barrier. AAAI (2017)
Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
Learning to Partition using Score Based Compatibilities. AAMAS (2017)
U. N. Niranjan, Arun Rajkumar
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. CoRR (2017)
Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy
Multi-Source Iterative Adaptation for Cross-Domain Classification. IJCAI (2016)
Arun Rajkumar, Shivani Agarwal
When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs? COLT (2016)
Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. NIPS (2016)
Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML (2015)
Arun Rajkumar, Shivani Agarwal
Online Decision-Making in General Combinatorial Spaces. NIPS (2014)
Arun Rajkumar, Shivani Agarwal
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. ICML (2014)
Arun Rajkumar, Shivani Agarwal
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. AISTATS (2012)