Rik Sarkar
6 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (22)
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Venues
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Research topics
Keywords
submodular maximization
(2)
distributed optimization
(2)
feature selection
(2)
stochastic gradient descent
(1)
distributed computing
(1)
deep learning theory
(1)
convex optimization
(1)
data valuation
(1)
representative subset selection
(1)
neural network optimization
(1)
subset selection
(1)
gaussian process
(1)
map-reduce
(1)
cardinality constraint
(1)
representative sampling
(1)
topological data analysis
(1)
neural network training
(1)
mapreduce computing
(1)
stochastic optimization
(1)
submodular optimization
(1)
Papers
Approximating Metric Magnitude of Point Sets
AAAI 2025
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
NeurIPS 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
NeurIPS 2024
The Shapley Value in Machine Learning
IJCAI 2022
Distributed Submodular Maximization
JMLR 2016
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
NeurIPS 2013