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{"title": "Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator", "pdf": "http://proceedings.mlr.press/v97/yurtsever19b/yurtsever19b.pdf", "sup": "http://proceedings.mlr.press/v97/yurtsever19b/yurtsever19b-supp.pdf"},
{"title": "Context-Aware Zero-Shot Learning for Object Recognition", "pdf": "http://proceedings.mlr.press/v97/zablocki19a/zablocki19a.pdf", "sup": "http://proceedings.mlr.press/v97/zablocki19a/zablocki19a-supp.pdf"},
{"title": "Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds", "pdf": "http://proceedings.mlr.press/v97/zanette19a/zanette19a.pdf", "sup": ""},
{"title": "Global Convergence of Block Coordinate Descent in Deep Learning", "pdf": "http://proceedings.mlr.press/v97/zeng19a/zeng19a.pdf", "sup": "http://proceedings.mlr.press/v97/zeng19a/zeng19a-supp.pdf"},
{"title": "Making Convolutional Networks Shift-Invariant Again", "pdf": "http://proceedings.mlr.press/v97/zhang19a/zhang19a.pdf", "sup": ""},
{"title": "Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback", "pdf": "http://proceedings.mlr.press/v97/zhang19b/zhang19b.pdf", "sup": ""},
{"title": "When Samples Are Strategically Selected", "pdf": "http://proceedings.mlr.press/v97/zhang19c/zhang19c.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19c/zhang19c-supp.pdf"},
{"title": "Self-Attention Generative Adversarial Networks", "pdf": "http://proceedings.mlr.press/v97/zhang19d/zhang19d.pdf", "sup": ""},
{"title": "Circuit-GNN: Graph Neural Networks for Distributed Circuit Design", "pdf": "http://proceedings.mlr.press/v97/zhang19e/zhang19e.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19e/zhang19e-supp.pdf"},
{"title": "LatentGNN: Learning Efficient Non-local Relations for Visual Recognition", "pdf": "http://proceedings.mlr.press/v97/zhang19f/zhang19f.pdf", "sup": ""},
{"title": "Neural Collaborative Subspace Clustering", "pdf": "http://proceedings.mlr.press/v97/zhang19g/zhang19g.pdf", "sup": ""},
{"title": "Incremental Randomized Sketching for Online Kernel Learning", "pdf": "http://proceedings.mlr.press/v97/zhang19h/zhang19h.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19h/zhang19h-supp.pdf"},
{"title": "Bridging Theory and Algorithm for Domain Adaptation", "pdf": "http://proceedings.mlr.press/v97/zhang19i/zhang19i.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19i/zhang19i-supp.pdf"},
{"title": "Adaptive Regret of Convex and Smooth Functions", "pdf": "http://proceedings.mlr.press/v97/zhang19j/zhang19j.pdf", "sup": ""},
{"title": "Random Function Priors for Correlation Modeling", "pdf": "http://proceedings.mlr.press/v97/zhang19k/zhang19k.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19k/zhang19k-supp.pdf"},
{"title": "Co-Representation Network for Generalized Zero-Shot Learning", "pdf": "http://proceedings.mlr.press/v97/zhang19l/zhang19l.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19l/zhang19l-supp.pdf"},
{"title": "SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning", "pdf": "http://proceedings.mlr.press/v97/zhang19m/zhang19m.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19m/zhang19m-supp.pdf"},
{"title": "A Composite Randomized Incremental Gradient Method", "pdf": "http://proceedings.mlr.press/v97/zhang19n/zhang19n.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19n/zhang19n-supp.pdf"},
{"title": "Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models", "pdf": "http://proceedings.mlr.press/v97/zhang19o/zhang19o.pdf", "sup": ""},
{"title": "Theoretically Principled Trade-off between Robustness and Accuracy", "pdf": "http://proceedings.mlr.press/v97/zhang19p/zhang19p.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19p/zhang19p-supp.pdf"},
{"title": "Learning Novel Policies For Tasks", "pdf": "http://proceedings.mlr.press/v97/zhang19q/zhang19q.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19q/zhang19q-supp.pdf"},
{"title": "Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization", "pdf": "http://proceedings.mlr.press/v97/zhang19r/zhang19r.pdf", "sup": ""},
{"title": "Interpreting Adversarially Trained Convolutional Neural Networks", "pdf": "http://proceedings.mlr.press/v97/zhang19s/zhang19s.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19s/zhang19s-supp.pdf"},
{"title": "Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits", "pdf": "http://proceedings.mlr.press/v97/zhang19t/zhang19t.pdf", "sup": "http://proceedings.mlr.press/v97/zhang19t/zhang19t-supp.pdf"},
{"title": "On Learning Invariant Representations for Domain Adaptation", "pdf": "http://proceedings.mlr.press/v97/zhao19a/zhao19a.pdf", "sup": "http://proceedings.mlr.press/v97/zhao19a/zhao19a-supp.pdf"},
{"title": "Metric-Optimized Example Weights", "pdf": "http://proceedings.mlr.press/v97/zhao19b/zhao19b.pdf", "sup": "http://proceedings.mlr.press/v97/zhao19b/zhao19b-supp.pdf"},
{"title": "Improving Neural Network Quantization without Retraining using Outlier Channel Splitting", "pdf": "http://proceedings.mlr.press/v97/zhao19c/zhao19c.pdf", "sup": ""},
{"title": "Maximum Entropy-Regularized Multi-Goal Reinforcement Learning", "pdf": "http://proceedings.mlr.press/v97/zhao19d/zhao19d.pdf", "sup": "http://proceedings.mlr.press/v97/zhao19d/zhao19d-supp.pdf"},
{"title": "Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization", "pdf": "http://proceedings.mlr.press/v97/zhou19a/zhou19a.pdf", "sup": "http://proceedings.mlr.press/v97/zhou19a/zhou19a-supp.pdf"},
{"title": "Lower Bounds for Smooth Nonconvex Finite-Sum Optimization", "pdf": "http://proceedings.mlr.press/v97/zhou19b/zhou19b.pdf", "sup": "http://proceedings.mlr.press/v97/zhou19b/zhou19b-supp.pdf"},
{"title": "Lipschitz Generative Adversarial Nets", "pdf": "http://proceedings.mlr.press/v97/zhou19c/zhou19c.pdf", "sup": ""},
{"title": "Toward Understanding the Importance of Noise in Training Neural Networks", "pdf": "http://proceedings.mlr.press/v97/zhou19d/zhou19d.pdf", "sup": "http://proceedings.mlr.press/v97/zhou19d/zhou19d-supp.pdf"},
{"title": "BayesNAS: A Bayesian Approach for Neural Architecture Search", "pdf": "http://proceedings.mlr.press/v97/zhou19e/zhou19e.pdf", "sup": "http://proceedings.mlr.press/v97/zhou19e/zhou19e-supp.pdf"},
{"title": "Transferable Clean-Label Poisoning Attacks on Deep Neural Nets", "pdf": "http://proceedings.mlr.press/v97/zhu19a/zhu19a.pdf", "sup": "http://proceedings.mlr.press/v97/zhu19a/zhu19a-supp.pdf"},
{"title": "Improved Dynamic Graph Learning through Fault-Tolerant Sparsification", "pdf": "http://proceedings.mlr.press/v97/zhu19b/zhu19b.pdf", "sup": "http://proceedings.mlr.press/v97/zhu19b/zhu19b-supp.pdf"},
{"title": "Poission Subsampled R\u00e9nyi Differential Privacy", "pdf": "http://proceedings.mlr.press/v97/zhu19c/zhu19c.pdf", "sup": "http://proceedings.mlr.press/v97/zhu19c/zhu19c-supp.pdf"},
{"title": "Learning Classifiers for Target Domain with Limited or No Labels", "pdf": "http://proceedings.mlr.press/v97/zhu19d/zhu19d.pdf", "sup": ""},
{"title": "The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects", "pdf": "http://proceedings.mlr.press/v97/zhu19e/zhu19e.pdf", "sup": "http://proceedings.mlr.press/v97/zhu19e/zhu19e-supp.pdf"},
{"title": "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization", "pdf": "http://proceedings.mlr.press/v97/zhuang19a/zhuang19a.pdf", "sup": "http://proceedings.mlr.press/v97/zhuang19a/zhuang19a-supp.pdf"},
{"title": "Latent Normalizing Flows for Discrete Sequences", "pdf": "http://proceedings.mlr.press/v97/ziegler19a/ziegler19a.pdf", "sup": "http://proceedings.mlr.press/v97/ziegler19a/ziegler19a-supp.pdf"},
{"title": "Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously", "pdf": "http://proceedings.mlr.press/v97/zimmert19a/zimmert19a.pdf", "sup": "http://proceedings.mlr.press/v97/zimmert19a/zimmert19a-supp.pdf"},
{"title": "Fast Context Adaptation via Meta-Learning", "pdf": "http://proceedings.mlr.press/v97/zintgraf19a/zintgraf19a.pdf", "sup": "http://proceedings.mlr.press/v97/zintgraf19a/zintgraf19a-supp.pdf"},
{"title": "Natural Analysts in Adaptive Data Analysis", "pdf": "http://proceedings.mlr.press/v97/zrnic19a/zrnic19a.pdf", "sup": "http://proceedings.mlr.press/v97/zrnic19a/zrnic19a-supp.pdf"}
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