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← Authors

Purushottam Kar

20 papers · 2010–2023 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (15) 🌍 Conference Polyglot (7)
🌍 Conference Polyglot (7) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (12) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (53) πŸš€ Conference Pioneer πŸ’Ž Century Club (20)

Conferences

NIPS (8) ICML (6) AISTATS (2) AAAI (1) CVPR (1) ICLR (1) IJCAI (1)

Top co-authors

Prateek Jain (13) Harikrishna Narasimhan (3) Kush Bhatia (3) Manik Varma (3) Harish Karnick (2) Sumeet Agarwal (2) Kunal Dahiya (2) Bhaskar Mukhoty (2) Keng-hao Chang (1) Seba Kuruvilla (1)

Keywords

metric learning (4) robust regression (4) extreme classification (3) multi-label classification (3) representation learning (2) sparse recovery (2) precision at k (2) adversarial corruption (2) embedding learning (2) stochastic gradient descent (2) dimensionality reduction (2) online learning (2) similarity learning (1) parameter estimation (1) multi-label learning (1) text classification (1) manifold learning (1) global convergence (1) ordinal regression (1) supervised learning (1)

Papers

Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 IGLU: Efficient GCN Training via Lazy Updates ICLR 2022 Multi-Modal Extreme Classification CVPR 2022 SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ICML 2021 Accelerating Extreme Classification via Adaptive Feature Agglomeration IJCAI 2019 Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019 On Context-Dependent Clustering of Bandits ICML 2017 Consistent Robust Regression NIPS 2017 Sparse Local Embeddings for Extreme Multi-label Classification NIPS 2015 Surrogate Functions for Maximizing Precision at the Top ICML 2015 Optimizing Non-decomposable Performance Measures: A Tale of Two Classes ICML 2015 Robust Regression via Hard Thresholding NIPS 2015 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NIPS 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions ICML 2013 Supervised Learning with Similarity Functions NIPS 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Similarity-based Learning via Data Driven Embeddings NIPS 2011 Random Projection Trees Revisited NIPS 2010