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Coded-InvNet for Resilient Prediction Serving Systems
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Spectral Subsampling MCMC for Stationary Time Series
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Message Passing Stein Variational Gradient Descent
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Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
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Overcoming Catastrophic Forgetting with Hard Attention to the Task
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Strategic Classification Made Practical
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Collect at Once, Use Effectively Making Non-interactive Locally Private Learning Possible
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Training Binary Neural Networks using the Bayesian Learning Rule
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Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
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Practical and Private (Deep) Learning Without Sampling or Shuffling
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