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ORCIDPurushottam Kar
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2020 – today
- 2024
[c37]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: 192-201- [c36]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: 275-283 - [i34]Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. CoRR abs/2402.18434 (2024) - 2023
- [c35]Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar:
Corruption-Tolerant Algorithms for Generalized Linear Models. AAAI 2023: 9243-9250 - [c34]Amit Chandak, Purushottam Kar, Piyush Rai:
Gradient Perturbation-based Efficient Deep Ensembles. COMAD/CODS 2023: 28-36 - [c33]Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar:
PRIORITY: An Intelligent Problem Indicator Repository. ISEC 2023: 9:1-9:10 - [c32]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: 11:1-11:11 - [c31]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: 358-367 - [c30]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: 1014-1022 - [c29]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: 258-266 - [i33]Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Multi-modal Extreme Classification. CoRR abs/2309.04961 (2023) - 2022
- [j5]Amey Karkare, Purushottam Kar:
Prutor: an intelligent learning and management system for programming courses. Commun. ACM 65(11): 62-64 (2022) - [c28]Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar:
AGGLIO: Global Optimization for Locally Convex Functions. COMAD/CODS 2022: 37-45 - [c27]Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Multi-modal Extreme Classification. CVPR 2022: 12383-12392 - [c26]S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam:
IGLU: Efficient GCN Training via Lazy Updates. ICLR 2022 - [i32]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 abs/2207.04452 (2022) - [i31]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 abs/2210.15923 (2022) - [i30]Bhaskar Pratim Mukhoty, Debojyoti Dey, Purushottam Kar:
Corruption-tolerant Algorithms for Generalized Linear Models. CoRR abs/2212.05430 (2022) - 2021
- [j4]Bhaskar Mukhoty, Subhajit Dutta, Purushottam Kar:
Robust non-parametric regression via incoherent subspace projections. Mach. Learn. 110(10): 2941-2989 (2021) - [c25]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: 2330-2340 - [c24]Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. WSDM 2021: 49-57 - [c23]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. WWW 2021: 3721-3732 - [i29]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. CoRR abs/2108.00261 (2021) - [i28]Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. CoRR abs/2108.00368 (2021) - [i27]S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam:
IGLU: Efficient GCN Training via Lazy Updates. CoRR abs/2109.13995 (2021) - [i26]Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar:
AGGLIO: Global Optimization for Locally Convex Functions. CoRR abs/2111.03932 (2021) - 2020
- [c22]Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar:
MACER: A Modular Framework for Accelerated Compilation Error Repair. AIED (1) 2020: 106-117 - [i25]Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar:
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization. CoRR abs/2005.11257 (2020) - [i24]Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar:
MACER: A Modular Framework for Accelerated Compilation Error Repair. CoRR abs/2005.14015 (2020) - [i23]Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar:
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. CoRR abs/2006.14211 (2020)
2010 – 2019
- 2019
- [j3]Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar:
Corruption-tolerant bandit learning. Mach. Learn. 108(4): 687-715 (2019) - [c21]Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar:
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. AISTATS 2019: 313-322 - [c20]Ankit Jalan, Purushottam Kar:
Accelerating Extreme Classification via Adaptive Feature Agglomeration. IJCAI 2019: 2600-2606 - [i22]Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. CoRR abs/1902.00491 (2019) - [i21]Ankit Jalan, Purushottam Kar:
Accelerating Extreme Classification via Adaptive Feature Agglomeration. CoRR abs/1905.11769 (2019) - 2018
- [j2]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107(8-10): 1597-1620 (2018) - [c19]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: 78-87 - [i20]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing Non-decomposable Measures with Deep Networks. CoRR abs/1802.00086 (2018) - [i19]Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick:
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. CoRR abs/1802.06771 (2018) - 2017
- [j1]Prateek Jain, Purushottam Kar:
Non-convex Optimization for Machine Learning. Found. Trends Mach. Learn. 10(3-4): 142-336 (2017) - [c18]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: 1698-1704 - [c17]Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue:
On Context-Dependent Clustering of Bandits. ICML 2017: 1253-1262 - [c16]Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar:
Consistent Robust Regression. NIPS 2017: 2110-2119 - [i18]Prateek Jain, Purushottam Kar:
Non-convex Optimization for Machine Learning. CoRR abs/1712.07897 (2017) - 2016
- [c15]Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy:
Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM 2016: 1101-1106 - [c14]Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani:
Online Optimization Methods for the Quantification Problem. KDD 2016: 1625-1634 - [i17]Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR abs/1605.04135 (2016) - [i16]Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar:
Efficient and Consistent Robust Time Series Analysis. CoRR abs/1607.00146 (2016) - 2015
- [c13]Purushottam Kar, Harikrishna Narasimhan, Prateek Jain:
Surrogate Functions for Maximizing Precision at the Top. ICML 2015: 189-198 - [c12]Harikrishna Narasimhan, Purushottam Kar, Prateek Jain:
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. ICML 2015: 199-208 - [c11]Kush Bhatia, Prateek Jain, Purushottam Kar:
Robust Regression via Hard Thresholding. NIPS 2015: 721-729 - [c10]Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain:
Sparse Local Embeddings for Extreme Multi-label Classification. NIPS 2015: 730-738 - [i15]Harikrishna Narasimhan, Purushottam Kar, Prateek Jain:
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. CoRR abs/1505.06812 (2015) - [i14]Purushottam Kar, Harikrishna Narasimhan, Prateek Jain:
Surrogate Functions for Maximizing Precision at the Top. CoRR abs/1505.06813 (2015) - [i13]Kush Bhatia, Prateek Jain, Purushottam Kar:
Robust Regression via Hard Thresholding. CoRR abs/1506.02428 (2015) - [i12]Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma:
Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR abs/1507.02743 (2015) - 2014
- [c9]Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon:
Large-scale Multi-label Learning with Missing Labels. ICML 2014: 593-601 - [c8]Prateek Jain, Ambuj Tewari, Purushottam Kar:
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. NIPS 2014: 685-693 - [c7]Purushottam Kar, Harikrishna Narasimhan, Prateek Jain:
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. NIPS 2014: 694-702 - [i11]Prateek Jain, Ambuj Tewari, Purushottam Kar:
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. CoRR abs/1410.5137 (2014) - [i10]Purushottam Kar, Harikrishna Narasimhan, Prateek Jain:
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. CoRR abs/1410.6776 (2014) - 2013
- [c6]Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick:
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. ICML (3) 2013: 441-449 - [i9]Purushottam Kar:
Generalization Guarantees for a Binary Classification Framework for Two-Stage Multiple Kernel Learning. CoRR abs/1302.0406 (2013) - [i8]Purushottam Kar, Harish Karnick:
On Translation Invariant Kernels and Screw Functions. CoRR abs/1302.4343 (2013) - [i7]Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick:
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. CoRR abs/1305.2505 (2013) - 2012
- [c5]Purushottam Kar, Prateek Jain:
Supervised Learning with Similarity Functions. NIPS 2012: 215-223 - [c4]Purushottam Kar, Harish Karnick:
Random Feature Maps for Dot Product Kernels. AISTATS 2012: 583-591 - [i6]Purushottam Kar, Harish Karnick:
Random Feature Maps for Dot Product Kernels. CoRR abs/1201.6530 (2012) - [i5]Purushottam Kar, Prateek Jain:
Supervised Learning with Similarity Functions. CoRR abs/1210.5840 (2012) - 2011
- [c3]Purushottam Kar, Prateek Jain:
Similarity-based Learning via Data Driven Embeddings. NIPS 2011: 1998-2006 - [i4]Purushottam Kar, Prateek Jain:
Similarity-based Learning via Data Driven Embeddings. CoRR abs/1112.5404 (2011) - 2010
- [c2]Aman Dhesi, Purushottam Kar:
Random Projection Trees Revisited. NIPS 2010: 496-504 - [i3]Sumit Ganguly, Purushottam Kar:
On Estimating the First Frequency Moment of Data Streams. CoRR abs/1005.0809 (2010) - [i2]Aman Dhesi, Purushottam Kar:
Random Projection Trees Revisited. CoRR abs/1010.3812 (2010)
2000 – 2009
- 2009
- [c1]Arnab Bhattacharya, Purushottam Kar, Manjish Pal:
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. DEXA 2009: 164-172 - [i1]Arnab Bhattacharya, Purushottam Kar, Manjish Pal:
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. CoRR abs/0909.3169 (2009)
Coauthor Index
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