Theory

Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018 Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms NeurIPS 2018 CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition CVPR 2018 Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation EMNLP 2018 Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 Computational Challenges for Polysynthetic Languages COLING 2018 Concentration inequalities for empirical processes of linear time series JMLR 2018 Conference on Learning Theory 2018: Preface COLT 2018 Connecting Optimization and Regularization Paths NeurIPS 2018 Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals IJCAI 2018 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018 Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NeurIPS 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents ACL 2018 Counterfactual Resimulation for Causal Analysis of Rule-Based Models IJCAI 2018 Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties ICLR 2018 Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Dating Documents using Graph Convolution Networks ACL 2018 Deepcode: Feedback Codes via Deep Learning NeurIPS 2018 Deep Density Destructors ICML 2018 Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design ICLR 2018 Deep Learning the Ising Model Near Criticality JMLR 2018 Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global ICML 2018 Deep Neural Nets with Interpolating Function as Output Activation NeurIPS 2018