← Authors

Purushottam Kar

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

Achievements

🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 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