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Analysis and Optimization of Graph Decompositions by Lifted Multicuts
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Analogical Inference for Multi-relational Embeddings
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An Infinite Hidden Markov Model With Similarity-Biased Transitions
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An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation
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An Alternative Softmax Operator for Reinforcement Learning
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An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
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Algorithmic Stability and Hypothesis Complexity
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An Adaptive Test of Independence with Analytic Kernel Embeddings
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Algebraic Variety Models for High-Rank Matrix Completion
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Adversarial Feature Matching for Text Generation
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Adaptive Sampling Probabilities for Non-Smooth Optimization
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Adaptive Neural Networks for Efficient Inference
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Adaptive Feature Selection Computationally Efficient Online Sparse Linear Regression under RIP
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Adaptive Consensus ADMM for Distributed Optimization
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