Mathematics & Optimization

Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Computing the Yolk in Spatial Voting Games without Computing Median Lines AAAI 2019 Concentration Inequalities for Conditional Value at Risk ICML 2019 Concentration of risk measures: A Wasserstein distance approach NeurIPS 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Conditional Sparse L_p-norm Regression With Optimal Probability AISTATS 2019 Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search IJCAI 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Consensual Affine Transformations for Partial Valuation Aggregation AAAI 2019 Consistent Online Optimization: Convex and Submodular AISTATS 2019 Constraint-based Learning of Phonological Processes EMNLP 2019 Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach IJCAI 2019 Constraint-Based Sequential Pattern Mining with Decision Diagrams AAAI 2019 Constraint Games for Stable and Optimal Allocation of Demands in SDN IJCAI 2019 Constraint Programming for Mining Borders of Frequent Itemsets IJCAI 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Contextual Bandits with Cross-Learning NeurIPS 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019 Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019