Theory

Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Efficiently escaping saddle points on manifolds NeurIPS 2019 Efficient Neural Network Verification with Exactness Characterization UAI 2019 Election with Bribe-Effect Uncertainty: A Dichotomy Result IJCAI 2019 Emotion Impacts Speech Recognition Performance NAACL 2019 Equilibrium Characterization for Data Acquisition Games IJCAI 2019 Estimating Entropy of Distributions in Constant Space NeurIPS 2019 Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019 Evaluating Question Answering Evaluation EMNLP 2019 Exact inference in structured prediction NeurIPS 2019 Exchangeability and Kernel Invariance in Trained MLPs IJCAI 2019 Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation ICML 2019 Explanations can be manipulated and geometry is to blame NeurIPS 2019 Explanations for Query Answers under Existential Rules IJCAI 2019 Expressive power of tensor-network factorizations for probabilistic modeling NeurIPS 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 First-order methods almost always avoid saddle points: The case of vanishing step-sizes NeurIPS 2019 Fisher Efficient Inference of Intractable Models NeurIPS 2019 From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment AAAI 2019 Generalization Bounds for Neural Networks via Approximate Description Length NeurIPS 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalization in multitask deep neural classifiers: a statistical physics approach NeurIPS 2019 Generalized Distance Bribery AAAI 2019 Generalized Tensor Models for Recurrent Neural Networks ICLR 2019