Theory

PAC-Bayes Tree: weighted subtrees with guarantees NeurIPS 2018 Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NeurIPS 2018 PDE-Net: Learning PDEs from Data ICML 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Portable, layer-wise task performance monitoring for NLP models EMNLP 2018 Posterior Concentration for Sparse Deep Learning NeurIPS 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018 Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function NAACL 2018 Provable Variable Selection for Streaming Features ICML 2018 Quantifying Algorithmic Improvements over Time IJCAI 2018 Quantifying Learning Guarantees for Convex but Inconsistent Surrogates NeurIPS 2018 Query Answering in Propositional Circumscription IJCAI 2018 Rate of Convergence of k-Nearest-Neighbor Classification Rule JMLR 2018 Rates of Convergence of Spectral Methods for Graphon Estimation ICML 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees IJCAI 2018 Reasoning about NP-complete Constraints IJCAI 2018 Recurrent Neural Networks as Weighted Language Recognizers NAACL 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 Representation Balancing MDPs for Off-policy Policy Evaluation NeurIPS 2018 Residual Unfairness in Fair Machine Learning from Prejudiced Data ICML 2018 ResNet with one-neuron hidden layers is a Universal Approximator NeurIPS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018