Kaushik Sinha
10 papers · 2007–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π
Keyword Champion
π
Trend Setter
ποΈ
Keyword Collector
(62)
π
Century Club
(10)
Conferences
NIPS (4)
ICML (2)
AAAI (1)
AISTATS (1)
COLT (1)
JMLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(3)
nearest neighbor search
(3)
sparse representation
(2)
matrix approximation
(2)
cluster assumption
(2)
semi-supervised learning
(2)
locality sensitive hashing
(2)
principal component analysis
(2)
theoretical analysis
(1)
minimax optimality
(1)
manifold learning
(1)
privacy-preserving
(1)
k-means clustering
(1)
privacy-preserving learning
(1)
representation learning
(1)
unlabeled data
(1)
matrix perturbation
(1)
low-rank approximation
(1)
principal components analysis
(1)
convex optimization
(1)
Papers
Non-parametric classification via expand-and-sparsify representation
NIPS 2024
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
K-means clustering using random matrix sparsification
ICML 2018
Improved nearest neighbor search using auxiliary information and priority functions
ICML 2018
Sparse Randomized Partition Trees for Nearest Neighbor Search
AISTATS 2017
A Near-Optimal Algorithm for Differentially-Private Principal Components
JMLR 2013
Randomized partition trees for exact nearest neighbor search
COLT 2013
Near-optimal Differentially Private Principal Components
NIPS 2012
Semi-supervised Learning using Sparse Eigenfunction Bases
NIPS 2009
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
NIPS 2007