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arXiv
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Robust Detection of Adaptive Spammers by Nash Reinforcement Learning.
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arXiv
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Empirical Time Complexity of Generic Dijkstra Algorithm.
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Deterministic Gaussian Averaged Neural Networks.
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Joint Training of Variational Auto-Encoder and Latent Energy-Based Model.
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IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method.
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Bandits with Partially Observable Offline Data.
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Is deep learning necessary for simple classification tasks?.
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Deep Reinforcement Learning for Electric Transmission Voltage Control.
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A new measure for overfitting and its implications for backdooring of deep learning.
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Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo...
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Learning to Learn Kernels with Variational Random Features.
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Optimizing generalization on the train set: a novel gradient-based framework to train par...
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End-to-end Sinkhorn Autoencoder with Noise Generator.
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On the asymptotics of wide networks with polynomial activations.
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Training Generative Adversarial Networks with Limited Data.
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Towards Early Diagnosis of Epilepsy from EEG Data.
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A multi-objective-based approach for Fair Principal Component Analysis.
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Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.
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Kalman Filter Based Multiple Person Head Tracking.
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Sovereign: User-Controlled Smart Homes.
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