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Papers (including subtopics)

The Deep Weight Prior ICLR 2019 The Domain Transform Solver CVPR 2019 The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study ICML 2019 The Evolved Transformer ICML 2019 The Functional Neural Process NeurIPS 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019 The Geometry of Deep Networks: Power Diagram Subdivision NeurIPS 2019 The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes AAAI 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 The Implicit Bias of AdaGrad on Separable Data NeurIPS 2019 The implicit bias of gradient descent on nonseparable data COLT 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The Influence of Down-Sampling Strategies on SVD Word Embedding Stability NAACL 2019 The information-theoretic value of unlabeled data in semi-supervised learning ICML 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NeurIPS 2019 The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019 The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information ICCV 2019 The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks ICLR 2019 The Lower The Simpler: Simplifying Hierarchical Recurrent Models NAACL 2019 The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019 The non-parametric bootstrap and spectral analysis in moderate and high-dimension AISTATS 2019 The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks NeurIPS 2019