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Amira Abbas

2 accepted papers

2026

QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses

ICML 2026poster

The technique of combining multiple votes to enhance the quality of a decision is the core of boosting algorithms in machine learning. In particular, boosting provably increases decision quality by combining multiple "weak learners"—hypotheses that are only slightly better than random guessing—into …

Cited by 0SourceScholar
2023

On quantum backpropagation, information reuse, and cheating measurement collapse

NeurIPS 2023spotlight

The success of modern deep learning hinges on the ability to train neural networks at scale. Through clever reuse of intermediate information, backpropagation facilitates training through gradient computation at a total cost roughly proportional to running the function, rather than incurring an addi…

Cited by 60SourcePDFScholar