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Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
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Analyzing Uncertainty in Neural Machine Translation
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An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
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An Alternative View When Does SGD Escape Local Minima
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An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
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An Inference-Based Policy Gradient Method for Learning Options
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An Estimation and Analysis Framework for the Rasch Model
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Alternating Randomized Block Coordinate Descent
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Adversarial Time-to-Event Modeling
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An Efficient Semismooth Newton based Algorithm for Convex Clustering
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Adversarial Attack on Graph Structured Data
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Adversarial Distillation of Bayesian Neural Network Posteriors
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Adversarial Regression with Multiple Learners
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Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
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Adversarial Learning with Local Coordinate Coding
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Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
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Adaptive Sampled Softmax with Kernel Based Sampling
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ADMM and Accelerated ADMM as Continuous Dynamical Systems
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