Syamantak Kumar
8 papers · 2021–2026 · 4 venues · across top CS/AI venues
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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principal component analysis
(3)
covariance estimation
(2)
dimensionality reduction
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sample complexity
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streaming principal component analysis
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independent component analysis
(1)
blind source separation
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matrix decomposition
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uncertainty quantification
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curriculum learning
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data augmentation
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neural machine translation
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text generation
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online learning
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matrix perturbation
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mean estimation
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multilingual processing
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sparse representation
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sparse principal component analysis
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active learning
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Papers
Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning
UAI 2026
On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
COLT 2026
Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA
UAI 2025
Black-Box k-to-1-PCA Reductions: Theory and Applications
COLT 2024
Nonparametric Evaluation of Noisy ICA Solutions
NeurIPS 2024
Oja's Algorithm for Streaming Sparse PCA
NeurIPS 2024
Streaming PCA for Markovian Data
NeurIPS 2023
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
ACL 2021