Purushottam Kar

According to our database, Purushottam Kar authored at least 53 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Regularized Encoder Training for Extreme Classification.

Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma

CoRR, 2024

Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring.

Prajjwal Yash, Sharvari Gundawar, Nitish Kumar, Uma Bhagya Rajasekaraiah, Krishna Priya Ganesan, Purushottam Kar

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment.

Manjyot Singh Nanra, Sharanya Saha, Ashutosh Kumar Shukla, Sachchida Nand Tripathi, Purushottam Kar

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Personalized Retrieval over Millions of Items.

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Deep Encoders with Auxiliary Parameters for Extreme Classification.

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Advances in Automated Pedagogical Compile-time Error Repair.

Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar

Proceedings of the 16th Innovations in Software Engineering Conference, 2023

PRIORITY: An Intelligent Problem Indicator Repository.

Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar

Proceedings of the 16th Innovations in Software Engineering Conference, 2023

Gradient Perturbation-based Efficient Deep Ensembles.

Amit Chandak, Purushottam Kar, Piyush Rai

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Corruption-Tolerant Algorithms for Generalized Linear Models.

Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region.

Naishadh Parmar, Raunak Shah, Tushar Goswamy, Vatsalya Tandon, Ravi Sahu, Ronak Sutaria, Purushottam Kar, Sachchida Nand Tripathi

CoRR, 2022

Prutor: an intelligent learning and management system for programming courses.

Amey Karkare, Purushottam Kar

Commun. ACM, 2022

IGLU: Efficient GCN Training via Lazy Updates.

S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AGGLIO: Global Optimization for Locally Convex Functions.

Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Robust non-parametric regression via incoherent subspace projections.

Bhaskar Mukhoty, Subhajit Dutta, Purushottam Kar

Mach. Learn., 2021

ECLARE: Extreme Classification with Label Graph Correlations.

Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the WWW '21: The Web Conference 2021, 2021

DECAF: Deep Extreme Classification with Label Features.

Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the WSDM '21, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization.

Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar

CoRR, 2020

MACER: A Modular Framework for Accelerated Compilation Error Repair.

Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Corruption-tolerant bandit learning.

Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar

Mach. Learn., 2019

DANTE: Deep AlterNations for Training nEural networks.

Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian

CoRR, 2019

Accelerating Extreme Classification via Adaptive Feature Agglomeration.

Ankit Jalan, Purushottam Kar

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems.

Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Optimizing non-decomposable measures with deep networks.

Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani

Mach. Learn., 2018

Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.

Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick

CoRR, 2018

Compilation error repair: for the student programs, from the student programs.

Umair Z. Ahmed, Pawan Kumar, Amey Karkare, Purushottam Kar, Sumit Gulwani

Proceedings of the 40th International Conference on Software Engineering: Software Engineering Education and Training, 2018

2017

Non-convex Optimization for Machine Learning.

Prateek Jain, Purushottam Kar

Found. Trends Mach. Learn., 2017

Consistent Robust Regression.

Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On Context-Dependent Clustering of Bandits.

Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue

Proceedings of the 34th International Conference on Machine Learning, 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

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Stochastic Optimization Techniques for Quantification Performance Measures.

Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani

CoRR, 2016

Efficient and Consistent Robust Time Series Analysis.

Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

CoRR, 2016

Online Optimization Methods for the Quantification Problem.

Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Optimizing the Multiclass F-Measure via Biconcave Programming.

Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Locally Non-linear Embeddings for Extreme Multi-label Learning.

Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma

CoRR, 2015

Sparse Local Embeddings for Extreme Multi-label Classification.

Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Robust Regression via Hard Thresholding.

Kush Bhatia, Prateek Jain, Purushottam Kar

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimizing Non-decomposable Performance Measures: A Tale of Two Classes.

Harikrishna Narasimhan, Purushottam Kar, Prateek Jain

Proceedings of the 32nd International Conference on Machine Learning, 2015

Surrogate Functions for Maximizing Precision at the Top.

Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Online and Stochastic Gradient Methods for Non-decomposable Loss Functions.

Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation.

Prateek Jain, Ambuj Tewari, Purushottam Kar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large-scale Multi-label Learning with Missing Labels.

Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

On Translation Invariant Kernels and Screw Functions

Purushottam Kar, Harish Karnick

CoRR, 2013

Generalization Guarantees for a Binary Classification Framework for Two-Stage Multiple Kernel Learning

Purushottam Kar

CoRR, 2013

On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions.

Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Random Feature Maps for Dot Product Kernels.

Purushottam Kar, Harish Karnick

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Supervised Learning with Similarity Functions.

Purushottam Kar, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Similarity-based Learning via Data Driven Embeddings.

Purushottam Kar, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

On Estimating the First Frequency Moment of Data Streams

Sumit Ganguly, Purushottam Kar

CoRR, 2010

Random Projection Trees Revisited.

Aman Dhesi, Purushottam Kar

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces.

Arnab Bhattacharya, Purushottam Kar, Manjish Pal

Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009