Purushottam Kar

78 papers A* 15A 4C 1Journal 40Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Regularized Encoder Training for Extreme Classification. WWW (Companion Volume) Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2025	J	`jnl`	Provably Outlier-resistant Semi-parametric Regression for Transferable Calibration of Low-cost Air-quality Sensors. CoRR Divyansh Chaurasia, Manoj Daram, Roshan Kumar, Nihal Thukarama Rao, Vipul Sangode, Pranjal Srivastava, Avnish Tripathi, Shoubhik Chakraborty, Akanksha, Ambasht Kumar, Davender Sethi, Sachchida Nand Tripathi, Purushottam Kar
2024	J	`jnl`	Graph Regularized Encoder Training for Extreme Classification. CoRR Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2024	—	`conf`	Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring. COMAD/CODS Prajjwal Yash, Sharvari Gundawar, Nitish Kumar, Uma Bhagya Rajasekaraiah, Krishna Priya Ganesan, Purushottam Kar
2024	—	`conf`	Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment. COMAD/CODS Manjyot Singh Nanra, Sharanya Saha, Ashutosh Kumar Shukla, Sachchida Nand Tripathi, Purushottam Kar
2023	—	`conf`	Advances in Automated Pedagogical Compile-time Error Repair. ISEC Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
2023	A*	`conf`	Corruption-Tolerant Algorithms for Generalized Linear Models. AAAI Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar
2023	A*	`conf`	Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	—	`conf`	Gradient Perturbation-based Efficient Deep Ensembles. COMAD/CODS Amit Chandak, Purushottam Kar, Piyush Rai
2023	J	`jnl`	Multi-modal Extreme Classification. CoRR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	A	`conf`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	—	`conf`	PRIORITY: An Intelligent Problem Indicator Repository. ISEC Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
2023	A*	`conf`	Personalized Retrieval over Millions of Items. SIGIR Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
2022	—	`conf`	AGGLIO: Global Optimization for Locally Convex Functions. COMAD/CODS Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
2022	J	`jnl`	Corruption-tolerant Algorithms for Generalized Linear Models. CoRR Bhaskar Pratim Mukhoty, Debojyoti Dey, Purushottam Kar
2022	J	`jnl`	DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region. CoRR Naishadh Parmar, Raunak Shah, Tushar Goswamy, Vatsalya Tandon, Ravi Sahu, Ronak Sutaria, Purushottam Kar, Sachchida Nand Tripathi
2022	A*	`conf`	IGLU: Efficient GCN Training via Lazy Updates. ICLR S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam
2022	A*	`conf`	Multi-modal Extreme Classification. CVPR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2022	J	`jnl`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
2022	J	`jnl`	Prutor: an intelligent learning and management system for programming courses. Commun. ACM Amey Karkare, Purushottam Kar
2021	J	`jnl`	AGGLIO: Global Optimization for Locally Convex Functions. CoRR Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
2021	A	`conf`	DECAF: Deep Extreme Classification with Label Features. WSDM Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	DECAF: Deep Extreme Classification with Label Features. CoRR Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	A*	`conf`	ECLARE: Extreme Classification with Label Graph Correlations. WWW Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	ECLARE: Extreme Classification with Label Graph Correlations. CoRR Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	IGLU: Efficient GCN Training via Lazy Updates. CoRR S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam
2021	J	`jnl`	Robust non-parametric regression via incoherent subspace projections. Mach. Learn. Bhaskar Mukhoty, Subhajit Dutta, Purushottam Kar
2021	A*	`conf`	SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
2020	J	`jnl`	Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization. CoRR Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
2020	J	`jnl`	Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. CoRR Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar
2020	—	`conf`	MACER: A Modular Framework for Accelerated Compilation Error Repair. AIED (1) Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar
2020	J	`jnl`	MACER: A Modular Framework for Accelerated Compilation Error Repair. CoRR Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar
2019	A*	`conf`	Accelerating Extreme Classification via Adaptive Feature Agglomeration. IJCAI Ankit Jalan, Purushottam Kar
2019	J	`jnl`	Accelerating Extreme Classification via Adaptive Feature Agglomeration. CoRR Ankit Jalan, Purushottam Kar
2019	J	`jnl`	Corruption-tolerant bandit learning. Mach. Learn. Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar
2019	J	`jnl`	DANTE: Deep AlterNations for Training nEural networks. CoRR Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian
2019	A	`conf`	Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. AISTATS Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar
2018	J	`jnl`	Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. CoRR Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick
2018	—	`conf`	Compilation error repair: for the student programs, from the student programs. ICSE (SEET) Umair Z. Ahmed, Pawan Kumar, Amey Karkare, Purushottam Kar, Sumit Gulwani
2018	J	`jnl`	Optimizing Non-decomposable Measures with Deep Networks. CoRR Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2018	J	`jnl`	Optimizing non-decomposable measures with deep networks. Mach. Learn. Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2017	—	`conf`	Consistent Robust Regression. NIPS Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
2017	J	`jnl`	Non-convex Optimization for Machine Learning. CoRR Prateek Jain, Purushottam Kar
2017	J	`jnl`	Non-convex Optimization for Machine Learning. Found. Trends Mach. Learn. Prateek Jain, Purushottam Kar
2017	A*	`conf`	On Context-Dependent Clustering of Bandits. ICML Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue
2017	A*	`conf`	Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. AAAI Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain
2016	J	`jnl`	Efficient and Consistent Robust Time Series Analysis. CoRR Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
2016	A*	`conf`	Online Optimization Methods for the Quantification Problem. KDD Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
2016	A*	`conf`	Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
2016	J	`jnl`	Stochastic Optimization Techniques for Quantification Performance Measures. CoRR Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2015	J	`jnl`	Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma
2015	A*	`conf`	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. ICML Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
2015	J	`jnl`	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. CoRR Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
2015	—	`conf`	Robust Regression via Hard Thresholding. NIPS Kush Bhatia, Prateek Jain, Purushottam Kar
2015	J	`jnl`	Robust Regression via Hard Thresholding. CoRR Kush Bhatia, Prateek Jain, Purushottam Kar
2015	—	`conf`	Sparse Local Embeddings for Extreme Multi-label Classification. NIPS Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
2015	A*	`conf`	Surrogate Functions for Maximizing Precision at the Top. ICML Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2015	J	`jnl`	Surrogate Functions for Maximizing Precision at the Top. CoRR Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2014	A*	`conf`	Large-scale Multi-label Learning with Missing Labels. ICML Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon
2014	—	`conf`	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. NIPS Prateek Jain, Ambuj Tewari, Purushottam Kar
2014	J	`jnl`	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. CoRR Prateek Jain, Ambuj Tewari, Purushottam Kar
2014	—	`conf`	Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. NIPS Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2014	J	`jnl`	Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. CoRR Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2013	J	`jnl`	Generalization Guarantees for a Binary Classification Framework for Two-Stage Multiple Kernel Learning CoRR Purushottam Kar
2013	J	`jnl`	On Translation Invariant Kernels and Screw Functions CoRR Purushottam Kar, Harish Karnick
2013	J	`jnl`	On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions CoRR Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick
2013	—	`conf`	On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. ICML (3) Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick
2012	J	`jnl`	Random Feature Maps for Dot Product Kernels CoRR Purushottam Kar, Harish Karnick
2012	A	`conf`	Random Feature Maps for Dot Product Kernels. AISTATS Purushottam Kar, Harish Karnick
2012	J	`jnl`	Supervised Learning with Similarity Functions CoRR Purushottam Kar, Prateek Jain
2012	—	`conf`	Supervised Learning with Similarity Functions. NIPS Purushottam Kar, Prateek Jain
2011	J	`jnl`	Similarity-based Learning via Data Driven Embeddings CoRR Purushottam Kar, Prateek Jain
2011	—	`conf`	Similarity-based Learning via Data Driven Embeddings. NIPS Purushottam Kar, Prateek Jain
2010	J	`jnl`	On Estimating the First Frequency Moment of Data Streams CoRR Sumit Ganguly, Purushottam Kar
2010	J	`jnl`	Random Projection Trees Revisited CoRR Aman Dhesi, Purushottam Kar
2010	—	`conf`	Random Projection Trees Revisited. NIPS Aman Dhesi, Purushottam Kar
2009	J	`jnl`	On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces CoRR Arnab Bhattacharya, Purushottam Kar, Manjish Pal
2009	C	`conf`	On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. DEXA Arnab Bhattacharya, Purushottam Kar, Manjish Pal