Theory

Random deep neural networks are biased towards simple functions NeurIPS 2019 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NeurIPS 2019 RAVEN: A Dataset for Relational and Analogical Visual REasoNing CVPR 2019 Ray-Space Projection Model for Light Field Camera CVPR 2019 Reasoning about Quality and Fuzziness of Strategic Behaviours IJCAI 2019 Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019 Recurrent models and lower bounds for projective syntactic decoding NAACL 2019 Refined Complexity of PCA with Outliers ICML 2019 Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Relaxing and Restraining Queries for OBDA AAAI 2019 Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff ICML 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Revisiting Adversarial Risk AISTATS 2019 Revisiting precision recall definition for generative modeling ICML 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019 Revisiting the Evaluation of Theory of Mind through Question Answering EMNLP 2019 Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NeurIPS 2019 ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS ICLR 2019 Robustness Verification of Tree-based Models NeurIPS 2019 Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem AAAI 2019 Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019 Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019 Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access IJCAI 2019 Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling ACL 2019 Seeing What a GAN Cannot Generate ICCV 2019