Rik Sarkar
6 papers · 2013–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (22) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4)
π
Academic Marathon
(12)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(5)
π
Keyword Champion
π
Trend Setter
Conferences
NIPS (3)
AAAI (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
distributed optimization
(2)
submodular maximization
(2)
feature selection
(2)
stochastic gradient descent
(1)
distributed computing
(1)
deep learning theory
(1)
convex optimization
(1)
data valuation
(1)
mapreduce
(1)
neural network optimization
(1)
mapreduce computing
(1)
cardinality constraint
(1)
representative sampling
(1)
subset selection
(1)
topological data analysis
(1)
neural network training
(1)
representative subset selection
(1)
representative selection
(1)
stochastic optimization
(1)
submodular optimization
(1)
Papers
Approximating Metric Magnitude of Point Sets
AAAI 2025
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
NIPS 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
NIPS 2024
The Shapley Value in Machine Learning
IJCAI 2022
Distributed Submodular Maximization
JMLR 2016
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
NIPS 2013