Theory

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018 Improving Text-to-SQL Evaluation Methodology ACL 2018 Inference via Low-Dimensional Couplings JMLR 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Informative Features for Model Comparison NeurIPS 2018 Interpretable Word Embedding Contextualization EMNLP 2018 Interpreting Neural Network Hate Speech Classifiers EMNLP 2018 Introspection for convolutional automatic speech recognition EMNLP 2018 Invariance of Weight Distributions in Rectified MLPs ICML 2018 Invertibility of Convolutional Generative Networks from Partial Measurements NeurIPS 2018 Is ATIS Too Shallow to Go Deeper for Benchmarking Spoken Language Understanding Models? Interspeech 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Isolating Sources of Disentanglement in Variational Autoencoders NeurIPS 2018 Latent Space Oddity: on the Curvature of Deep Generative Models ICLR 2018 Learning Deep ResNet Blocks Sequentially using Boosting Theory ICML 2018 Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time ICML 2018 Learning One Convolutional Layer with Overlapping Patches ICML 2018 Learning the Reward Function for a Misspecified Model ICML 2018 Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation NAACL 2018 Learning with Abandonment ICML 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018 Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018 Local Minima, Heavy Tails, and Search Effort for GBFS IJCAI 2018