Mathematics & Optimization

Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment CVPR 2019 Minimal Variance Sampling in Stochastic Gradient Boosting NeurIPS 2019 Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019 Minimax Learning of Ergodic Markov Chains ALT 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Minimizing Time-to-Rank: A Learning and Recommendation Approach IJCAI 2019 Minimum Intervention Cover of a Causal Graph AAAI 2019 Minimum Volume Topic Modeling AISTATS 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019 Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory AAAI 2019 Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019 Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019 Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations IJCAI 2019 Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity EMNLP 2019 Modeling Document-level Causal Structures for Event Causal Relation Identification NAACL 2019 Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019 Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Model Selection for Contextual Bandits NeurIPS 2019 Modification of Devoicing Error in Cleft Lip and Palate Speech Interspeech 2019 Modularity-based Sparse Soft Graph Clustering AISTATS 2019 MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means ICML 2019 Monoxide: Scale out Blockchains with Asynchronous Consensus Zones NSDI 2019 More Efficient Estimation for Logistic Regression with Optimal Subsamples JMLR 2019