2022

• Arun Rajkumar, Abdul Bakey Mir and Vishnu Veerathu: A Theory of Tournament Representations
  Accepted to ICLR 2022 as a full paper.
• Athul M. A and Arun Rajkumar: Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs
  To appear as a short research paper, CODS-COMAD 2022.

2021

• Vishnu Veerathu and Arun Rajkumar: On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
  NeurIPS 2021.
• Dev Yashpal Sheth and Arun Rajkumar: PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget, To appear as a full paper, ICDM 2021 | Preprint | Code.
  Also presented at the Workshop of online and adaptive recommender systems (OARS), KDD 2021
• Anant Shah and Arun Rajkumar: Sequential Ski Rental Problem
  20th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2021.
• Prateek Yadav and Arun Rajkumar: Rank Refinement: An Algorithmic Framework with Applications to Diversity Aware Influence Maximization,
  AAAI 2021 Workshop on Graphs and more Complex structures for Learning and Reasoning.
• Lokesh Kumar and Arun Rajkumar: DynamicGraphUCB - Personalized Recommendations on Evolving User Graphs
  AAAI 2021 Workshop on Graphs and more Complex structures for Learning and Reasoning

2020

• Dev Yashpal Sheth and Arun Rajkumar: Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters
  CODS-COMAD 2020.
• Shiv Kumar Tavker, Harish G. Ramaswamy and Harikrishna Narasimhan. Consistent Plug-in Classifiers for Complex Objectives and Constraints .
  In Neural Information Processing Systems (NeurIPS), 2020.
• Mingyan Zhang, Harish G. Ramaswamy and Shivani Agarwal. Convex Calibrated Surrogates for the Multi-Label F-Measure
  In International Conference on Machine Learning (ICML), 2020.
• Saurabh Desai and Harish G. Ramaswamy. Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization.
  IEEE Winter Conference on Applications of Computer Vision (WACV) 2020.
  Best paper winner

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, 2019.
• Prateek Yadav, Madhav R Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Talukdar: Lovász Convolutional Networks .
  In Proceedings of AISTATS, 2019.
• Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy. On Knowledge Distillation from Complex Networks for Response Prediction
  NAACL 2019.

2018

• Anirban Laha, Saneem A Chemmangath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy. On controllable alternatives to Sparsemax
  In Neural Information Processing Systems (NIPS), 2018.
• Harish G. Ramaswamy, Ambuj Tewari, and Shivani Agarwal. Consistent Algorithms for Multiclass Classification Problems with an abstain Option.
  Electronic Journal of Statistics, 2018. [link]