Purushottam Kar
20 papers · 2010–2023 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(5)
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π€
Dynamic Duo
(13)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
ποΈ
Keyword Collector
(128)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Core Methods
(17)
Optimization & Theory
(12)
Learning Types Β· Machine Learning
(11)
Mathematics & Optimization
(5)
Optimization
(4)
Deep Learning
(3)
Application Areas
(3)
Mathematics
(3)
Architectures
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Core AI
(1)
Foundations
(1)
Learning Types Β· Deep Learning
(1)
Keywords
metric learning
(4)
robust regression
(4)
multi-label classification
(3)
extreme classification
(3)
stochastic gradient descent
(3)
precision at k
(2)
online learning
(2)
similarity function
(2)
adversarial corruption
(2)
generalized linear model
(2)
landmark selection
(2)
representation learning
(2)
sparse recovery
(2)
dimensionality reduction
(2)
regret bound
(2)
embedding learning
(2)
parameter estimation
(1)
multi-label learning
(1)
text classification
(1)
ensemble 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
Consistent Robust Regression
NeurIPS 2017
On Context-Dependent Clustering of Bandits
ICML 2017
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
ICML 2015
Robust Regression via Hard Thresholding
NeurIPS 2015
Sparse Local Embeddings for Extreme Multi-label Classification
NeurIPS 2015
Surrogate Functions for Maximizing Precision at the Top
ICML 2015
Large-scale Multi-label Learning with Missing Labels
ICML 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
NeurIPS 2014
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
NeurIPS 2014
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
ICML 2013
Random Feature Maps for Dot Product Kernels
AISTATS 2012
Supervised Learning with Similarity Functions
NeurIPS 2012
Similarity-based Learning via Data Driven Embeddings
NeurIPS 2011
Random Projection Trees Revisited
NeurIPS 2010