Kar, Purushottam

25 publications

AAAI 2023 Corruption-Tolerant Algorithms for Generalized Linear Models Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar

ICLR 2022 IGLU: Efficient GCN Training via Lazy Updates S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam

CVPR 2022 Multi-Modal Extreme Classification Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

MLJ 2021 Robust Non-Parametric Regression via Incoherent Subspace Projections Bhaskar Mukhoty, Subhajit Dutta, Purushottam Kar

ICML 2021 SiameseXML: Siamese Networks Meet Extreme Classifiers with 100m Labels Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma

IJCAI 2019 Accelerating Extreme Classification via Adaptive Feature Agglomeration Ankit Jalan, Purushottam Kar

MLJ 2019 Corruption-Tolerant Bandit Learning Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar

AISTATS 2019 Globally-Convergent Iteratively Reweighted Least Squares for Robust Regression Problems Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar

MLJ 2018 Optimizing Non-Decomposable Measures with Deep Networks Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani

NeurIPS 2017 Consistent Robust Regression Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

FnTML 2017 Non-Convex Optimization for Machine Learning Prateek Jain, Purushottam Kar

ICML 2017 On Context-Dependent Clustering of Bandits Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue

AAAI 2017 Scalable Optimization of Multivariate Performance Measures in Multi-Instance Multi-Label Learning Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain

ICML 2015 Optimizing Non-Decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan, Purushottam Kar, Prateek Jain

NeurIPS 2015 Robust Regression via Hard Thresholding Kush Bhatia, Prateek Jain, Purushottam Kar

NeurIPS 2015 Sparse Local Embeddings for Extreme Multi-Label Classification Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

ICML 2015 Surrogate Functions for Maximizing Precision at the Top Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

ICML 2014 Large-Scale Multi-Label Learning with Missing Labels Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon

NeurIPS 2014 On Iterative Hard Thresholding Methods for High-Dimensional M-Estimation Prateek Jain, Ambuj Tewari, Purushottam Kar

NeurIPS 2014 Online and Stochastic Gradient Methods for Non-Decomposable Loss Functions Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

ICML 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick

AISTATS 2012 Random Feature Maps for Dot Product Kernels Purushottam Kar, Harish Karnick

NeurIPS 2012 Supervised Learning with Similarity Functions Purushottam Kar, Prateek Jain

NeurIPS 2011 Similarity-Based Learning via Data Driven Embeddings Purushottam Kar, Prateek Jain

NeurIPS 2010 Random Projection Trees Revisited Aman Dhesi, Purushottam Kar