Theory

Invariance and Stability of Deep Convolutional Representations NeurIPS 2017 Learning Co-Substructures by Kernel Dependence Maximization IJCAI 2017 Learning Fine-Grained Expressions to Solve Math Word Problems EMNLP 2017 Learning Latent Space Models with Angular Constraints ICML 2017 Learning Overcomplete HMMs NeurIPS 2017 Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization NeurIPS 2017 Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017 Mapping the Perfect via Translation Mining EACL 2017 Mean Field Residual Networks: On the Edge of Chaos NeurIPS 2017 Measuring Encoding Efficiency in Swedish and English Language Learner Speech Production Interspeech 2017 Measuring the Intensity of Attacks in Argumentation Graphs with Shapley Value IJCAI 2017 Minimizing a Submodular Function from Samples NeurIPS 2017 Mixing Implies Lower Bounds for Space Bounded Learning COLT 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 Neural Networks and Rational Functions ICML 2017 New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract) IJCAI 2017 Nonlinear random matrix theory for deep learning NeurIPS 2017 No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis ICML 2017 On Learning vs. Refutation COLT 2017 Online Prediction with Selfish Experts NeurIPS 2017 On Relaxing Determinism in Arithmetic Circuits ICML 2017 On the Ability of Neural Nets to Express Distributions COLT 2017 On the Complexity of Learning Neural Networks NeurIPS 2017 On the Computational Complexity of Gossip Protocols IJCAI 2017