Mathematics & Optimization

Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications CVPR 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017 Kernel Feature Selection via Conditional Covariance Minimization NeurIPS 2017 Kernel Partial Least Squares for Stationary Data JMLR 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Large-Scale Data-Dependent Kernel Approximation AISTATS 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Lazifying Conditional Gradient Algorithms ICML 2017 Lazy-Grounding for Answer Set Programs with External Source Access IJCAI 2017 Learned D-AMP: Principled Neural Network based Compressive Image Recovery NeurIPS 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017 Learning Chordal Markov Networks via Branch and Bound NeurIPS 2017 Learning Combinatorial Optimization Algorithms over Graphs NeurIPS 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions AISTATS 2017 Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017 Learning Hedonic Games IJCAI 2017 Learning Local Dependence In Ordered Data JMLR 2017 Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017 Learning Multivariate Log-concave Distributions COLT 2017 Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017 Learning Populations of Parameters NeurIPS 2017