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Recovery Guarantees for One-hidden-layer Neural Networks
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Projection-free Distributed Online Learning in Networks
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Probabilistic Submodular Maximization in Sub-Linear Time
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Provably Optimal Algorithms for Generalized Linear Contextual Bandits
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Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations
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ProtoNN Compressed and Accurate kNN for Resource-scarce Devices
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Priv’IT Private and Sample Efficient Identity Testing
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Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control
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Prediction and Control with Temporal Segment Models
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