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Showing 2026 · cs.LGShow all
3 papers · 2 filters
cs.LG2026
Improving Selective Classification with Pairwise Queries for Binary Classification
Harsh Vardhan, Sunav Choudhary, Natwar Modani +1
In selective classification, a model predicts the labels of data samples where it is confident, and abstains from predicting labels for samples on which it is not confident. The re…
cs.LG2026★ 9 cited
Federated Learning over Blockchain-Enabled Cloud Infrastructure
Saloni Garg, Amit Sagtani, Kamal Kant Hiran
The rise of IoT devices and the uptake of cloud computing have informed a new era of data-driven intelligence. Traditional centralized machine learning models that require a large…
cs.LG2026★ 7 cited
Budgeted Online Influence Maximization
Pierre Perrault, Jennifer Healey, Zheng Wen +1
We introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the common cardinality constraint on a cho…