Arun Rajkumar - RankMe

39 papers A* 10A 6B 1Misc 2Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	Stochastic Multi-Armed Bandits with Limited Control Variates. COMSNETS Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar
2026	J	`jnl`	Stochastic Multi-Armed Bandits with Limited Control Variates. CoRR Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar
2025	J	`jnl`	Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability. CoRR Akshay G. Rao, Chandra Shekar Lakshminarayanan, Arun Rajkumar
2024	A	`conf`	A Graph Theoretic Approach for Preference Learning with Feature Information. UAI Aadirupa Saha, Arun Rajkumar
2024	J	`jnl`	Closing the Gap in the Trade-off between Fair Representations and Accuracy. CoRR Biswajit Rout, Ananya B. Sai, Arun Rajkumar
2023	B	`conf`	Linearly Constrained and Structured Reinforcement Learning Algorithm for Wireless Link Adaptation. WiOpt Utsav Dey, Arun Rajkumar, Lakshmi Narasimhan Theagarajan
2022	A*	`conf`	A Theory of Tournament Representations. ICLR Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
2022	A*	`conf`	Byzantine Spectral Ranking. NeurIPS Arnhav Datar, Arun Rajkumar, John Augustine
2022	J	`jnl`	Byzantine Spectral Ranking. CoRR Arnhav Datar, Arun Rajkumar, John Augustine
2022	J	`jnl`	Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality. CoRR Chandrashekar Lakshminarayanan, Amit Vikram Singh, Arun Rajkumar
2022	—	`conf`	Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs. COMAD/CODS Athul M. A, Arun Rajkumar
2021	J	`jnl`	A Theory of Tournament Representations. CoRR Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
2021	J	`jnl`	Censored Semi-Bandits for Resource Allocation. CoRR Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
2021	A*	`conf`	On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons. NeurIPS Vishnu Veerathu, Arun Rajkumar
2021	A*	`conf`	PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget. ICDM Dev Yashpal Sheth, Arun Rajkumar
2021	A	`conf`	Sequential Ski Rental Problem. AAMAS Anant Shah, Arun Rajkumar
2021	J	`jnl`	Sequential Ski Rental Problem. CoRR Anant Shah, Arun Rajkumar
2020	—	`conf`	Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters. COMAD/CODS Dev Yashpal Sheth, Arun Rajkumar
2020	J	`jnl`	SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. CoRR Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny
2019	A*	`conf`	Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. NeurIPS Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
2019	J	`jnl`	Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. CoRR Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
2019	—	`conf`	Learning Transferable Feature Representations Using Neural Networks. ACL (1) Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan
2019	A	`conf`	Lovasz Convolutional Networks. AISTATS Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar
2019	Misc	`conf`	TrustCircle: a novel trust framework for creating a personalised recommender system that helps evaluate trustworthiness in sharing economy services. IndiaHCI Jayati Bandyopadhyay, Nupur Labh, Simarjot Kaur, Arun Rajkumar, Sourav Bhattacharya, Saurabh Srivastava
2018	J	`jnl`	Lovasz Convolutional Networks. CoRR Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar
2018	—	`conf`	Online domain adaptation by exploiting labeled features and pro-active learning. COMAD/CODS Raghu Krishnapuram, Arun Rajkumar, Adithya Acharya, Nikhil Dhara Venkata, Manjunath M. Goudar, Akshay P. Sarashetti
2017	A*	`conf`	Inductive Pairwise Ranking: Going Beyond the AAAI U. N. Niranjan, Arun Rajkumar
2017	J	`jnl`	Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. CoRR U. N. Niranjan, Arun Rajkumar
2017	A	`conf`	Learning to Partition using Score Based Compatibilities. AAMAS Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
2017	J	`jnl`	Learning to Partition using Score Based Compatibilities. CoRR Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
2017	A	`conf`	Provable Inductive Robust PCA via Iterative Hard Thresholding. UAI U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
2017	J	`jnl`	Provable Inductive Robust PCA via Iterative Hard Thresholding. CoRR U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
2016	—	`conf`	Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. NIPS Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal
2016	A*	`conf`	Multi-Source Iterative Adaptation for Cross-Domain Classification. IJCAI Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy
2016	A*	`conf`	When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs? COLT Arun Rajkumar, Shivani Agarwal
2015	A*	`conf`	Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal
2014	A*	`conf`	A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. ICML Arun Rajkumar, Shivani Agarwal
2014	—	`conf`	Online Decision-Making in General Combinatorial Spaces. NIPS Arun Rajkumar, Shivani Agarwal
2012	A	`conf`	A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. AISTATS Arun Rajkumar, Shivani Agarwal