Theory

The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 The role of over-parametrization in generalization of neural networks ICLR 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering ICML 2019 Tightness-Aware Evaluation Protocol for Scene Text Detection CVPR 2019 Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NeurIPS 2019 Time to Frequency Domain Mapping of the Voice Source: The Influence of Open Quotient and Glottal Skew on the Low End of the Source Spectrum Interspeech 2019 Topological Data Analysis of Decision Boundaries with Application to Model Selection ICML 2019 Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019 Towards Understanding Regularization in Batch Normalization ICLR 2019 Traditional and Heavy Tailed Self Regularization in Neural Network Models ICML 2019 Train and Test Tightness of LP Relaxations in Structured Prediction JMLR 2019 Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach RSS 2019 Transductive Bounds for the Multi-Class Majority Vote Classifier AAAI 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Understanding and Improving Layer Normalization NeurIPS 2019 Understanding Geometry of Encoder-Decoder CNNs ICML 2019 Understanding Sparse JL for Feature Hashing NeurIPS 2019 Understanding the Role of Momentum in Stochastic Gradient Methods NeurIPS 2019 Understanding Undesirable Word Embedding Associations ACL 2019 Uniform convergence may be unable to explain generalization in deep learning NeurIPS 2019 Universal Approximation of Input-Output Maps by Temporal Convolutional Nets NeurIPS 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 Universal Invariant and Equivariant Graph Neural Networks NeurIPS 2019 Universality and individuality in neural dynamics across large populations of recurrent networks NeurIPS 2019