Rishabh K Iyer
8 papers · 2013–2024 · 2 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 πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Bronze
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Keyword Pioneer
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Keyword Collector
(56)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Core Methods
(5)
Computer Vision
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(2)
Analysis
(1)
Core AI
(1)
Domain-Specific
(1)
Generation
(1)
Learning Types Β· Machine Learning
(1)
Mathematics
(1)
Keywords
submodular optimization
(6)
submodular function
(4)
approximation algorithm
(3)
combinatorial optimization
(2)
submodular minimization
(2)
robust optimization
(1)
knowledge distillation
(1)
large margin learning
(1)
data subset selection
(1)
function approximation
(1)
image segmentation
(1)
supervised learning
(1)
pac learning
(1)
point cloud
(1)
discrete optimization
(1)
structured prediction
(1)
class imbalance
(1)
sensor placement
(1)
hamming distance
(1)
submodular
(1)
Papers
SCoRe: Submodular Combinatorial Representation Learning
ICML 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NeurIPS 2024
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
ICML 2023
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
NeurIPS 2015
Submodular Hamming Metrics
NeurIPS 2015
Learning Mixtures of Submodular Functions for Image Collection Summarization
NeurIPS 2014
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
NeurIPS 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
NeurIPS 2013