Purushottam Kar

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Hard Thresholding

Robust Regression

Reweighted Least Squares

Negative Matrix Factorization

Top Venues

Publications

Prajjwal Yash, Sharvari Gundawar, Nitish Kumar, Uma Bhagya Rajasekaraiah, Krishna Priya Ganesan, Purushottam Kar
Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring. COMAD/CODS (2024)
Manjyot Singh Nanra, Sharanya Saha, Ashutosh Kumar Shukla, Sachchida Nand Tripathi, Purushottam Kar
Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment. COMAD/CODS (2024)
Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
Graph Regularized Encoder Training for Extreme Classification. CoRR (2024)
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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM (2023)
Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
PRIORITY: An Intelligent Problem Indicator Repository. ISEC (2023)
Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD (2023)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CoRR (2023)
Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar
Corruption-Tolerant Algorithms for Generalized Linear Models. AAAI (2023)
Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
Advances in Automated Pedagogical Compile-time Error Repair. ISEC (2023)
Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
Personalized Retrieval over Millions of Items. SIGIR (2023)
Amit Chandak, Purushottam Kar, Piyush Rai
Gradient Perturbation-based Efficient Deep Ensembles. COMAD/CODS (2023)
Amey Karkare, Purushottam Kar
Prutor: an intelligent learning and management system for programming courses. Commun. ACM 65 (11) (2022)
Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
AGGLIO: Global Optimization for Locally Convex Functions. COMAD/CODS (2022)
S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam
IGLU: Efficient GCN Training via Lazy Updates. ICLR (2022)
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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR (2022)
Bhaskar Pratim Mukhoty, Debojyoti Dey, Purushottam Kar
Corruption-tolerant Algorithms for Generalized Linear Models. CoRR (2022)
Naishadh Parmar, Raunak Shah, Tushar Goswamy, Vatsalya Tandon, Ravi Sahu, Ronak Sutaria, Purushottam Kar, Sachchida Nand Tripathi
DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region. CoRR (2022)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-Hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CVPR (2022)
Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. CoRR (2021)
Bhaskar Mukhoty, Subhajit Dutta, Purushottam Kar
Robust non-parametric regression via incoherent subspace projections. Mach. Learn. 110 (10) (2021)
Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
AGGLIO: Global Optimization for Locally Convex Functions. CoRR (2021)
S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam
IGLU: Efficient GCN Training via Lazy Updates. CoRR (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. CoRR (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. WSDM (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. WWW (2021)
Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar
MACER: A Modular Framework for Accelerated Compilation Error Repair. CoRR (2020)
Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization. CoRR (2020)
Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar
MACER: A Modular Framework for Accelerated Compilation Error Repair. AIED (1) (2020)
Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. CoRR (2020)
Ankit Jalan, Purushottam Kar
Accelerating Extreme Classification via Adaptive Feature Agglomeration. CoRR (2019)
Ankit Jalan, Purushottam Kar
Accelerating Extreme Classification via Adaptive Feature Agglomeration. IJCAI (2019)
Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. AISTATS (2019)
Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar
Corruption-tolerant bandit learning. Mach. Learn. 108 (4) (2019)
Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian
DANTE: Deep AlterNations for Training nEural networks. CoRR (2019)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107 (8-10) (2018)
Umair Z. Ahmed, Pawan Kumar, Amey Karkare, Purushottam Kar, Sumit Gulwani
Compilation error repair: for the student programs, from the student programs. ICSE (SEET) (2018)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing Non-decomposable Measures with Deep Networks. CoRR (2018)
Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. CoRR (2018)
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
Consistent Robust Regression. NIPS (2017)
Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue
On Context-Dependent Clustering of Bandits. ICML (2017)
Prateek Jain, Purushottam Kar
Non-convex Optimization for Machine Learning. CoRR (2017)
Prateek Jain, Purushottam Kar
Non-convex Optimization for Machine Learning. Found. Trends Mach. Learn. 10 (3-4) (2017)
Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. AAAI (2017)
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
Efficient and Consistent Robust Time Series Analysis. CoRR (2016)
Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR (2016)
Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM (2016)
Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
Online Optimization Methods for the Quantification Problem. KDD (2016)
Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma
Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR (2015)
Kush Bhatia, Prateek Jain, Purushottam Kar
Robust Regression via Hard Thresholding. NIPS (2015)
Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
Sparse Local Embeddings for Extreme Multi-label Classification. NIPS (2015)
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Surrogate Functions for Maximizing Precision at the Top. ICML (2015)
Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. ICML (2015)
Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. CoRR (2015)
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Surrogate Functions for Maximizing Precision at the Top. CoRR (2015)
Kush Bhatia, Prateek Jain, Purushottam Kar
Robust Regression via Hard Thresholding. CoRR (2015)
Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon
Large-scale Multi-label Learning with Missing Labels. ICML (2014)
Prateek Jain, Ambuj Tewari, Purushottam Kar
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. NIPS (2014)
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. CoRR (2014)
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. NIPS (2014)
Prateek Jain, Ambuj Tewari, Purushottam Kar
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. CoRR (2014)
Purushottam Kar, Harish Karnick
On Translation Invariant Kernels and Screw Functions CoRR (2013)
Purushottam Kar
Generalization Guarantees for a Binary Classification Framework for Two-Stage Multiple Kernel Learning CoRR (2013)
Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions CoRR (2013)
Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. ICML (3) (2013)
Purushottam Kar, Harish Karnick
Random Feature Maps for Dot Product Kernels. AISTATS (2012)
Purushottam Kar, Prateek Jain
Supervised Learning with Similarity Functions. NIPS (2012)
Purushottam Kar, Prateek Jain
Supervised Learning with Similarity Functions CoRR (2012)
Purushottam Kar, Harish Karnick
Random Feature Maps for Dot Product Kernels CoRR (2012)
Purushottam Kar, Prateek Jain
Similarity-based Learning via Data Driven Embeddings CoRR (2011)
Purushottam Kar, Prateek Jain
Similarity-based Learning via Data Driven Embeddings. NIPS (2011)
Sumit Ganguly, Purushottam Kar
On Estimating the First Frequency Moment of Data Streams CoRR (2010)
Aman Dhesi, Purushottam Kar
Random Projection Trees Revisited. NIPS (2010)
Aman Dhesi, Purushottam Kar
Random Projection Trees Revisited CoRR (2010)
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. DEXA (2009)
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces CoRR (2009)