Theory

The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017 Towards Lower Bounds on Number of Dimensions for Word Embeddings IJCNLP 2017 Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 Understanding Black-box Predictions via Influence Functions ICML 2017 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NeurIPS 2017 Unifying Task Specification in Reinforcement Learning ICML 2017 Variable Importance Using Decision Trees NeurIPS 2017 Verifying Fault-tolerance in Parameterised Multi-Agent Systems IJCAI 2017 Visual Denotations for Recognizing Textual Entailment EMNLP 2017 Wavelet Speech Enhancement Based on Robust Principal Component Analysis Interspeech 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017 A 50-Year Retrospective on Speech and Language Processing Interspeech 2016 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 A Characterization of Linkage-Based Hierarchical Clustering JMLR 2016 A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016 Adaptive Neural Compilation NeurIPS 2016 A Guide to Learning Arithmetic Circuits COLT 2016 Algorithms and matching lower bounds for approximately-convex optimization NeurIPS 2016 Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016 Analyzing Classifiers: Fisher Vectors and Deep Neural Networks CVPR 2016