Ashwinkumar Badanidiyuru
7 papers · 2014–2024 · 5 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· Silver πΊοΈ Taxonomy Completionist (24)
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
submodular optimization
(2)
online learning
(2)
data summarization
(2)
submodular maximization
(2)
regret bound
(2)
approximation guarantee
(2)
knapsack constraint
(2)
multi-objective learning
(1)
weighted assignment loss
(1)
multi-objective optimization
(1)
instance bag
(1)
generalization bound
(1)
bag-level loss
(1)
greedy algorithm
(1)
approximation algorithm
(1)
contextual bandit
(1)
distributed algorithm
(1)
aggregate learning
(1)
barrier function
(1)
knapsack problem
(1)
Papers
Generalization and Learnability in Multiple Instance Regression
UAI 2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
ICLR 2024
Submodular Maximization Through Barrier Functions
NeurIPS 2020
Fast Constrained Submodular Maximization: Personalized Data Summarization
ICML 2016
Distributed Submodular Cover: Succinctly Summarizing Massive Data
NeurIPS 2015
Resourceful Contextual Bandits
COLT 2014
Robust Multi-objective Learning with Mentor Feedback
COLT 2014