Mathematics & Optimization

Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes CVPR 2019 Robust Principal Component Analysis with Adaptive Neighbors NeurIPS 2019 Rotational Diversity in Multi-Cycle Assignment Problems AAAI 2019 RSN: Randomized Subspace Newton NeurIPS 2019 Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem AAAI 2019 SAGA with Arbitrary Sampling ICML 2019 Sample Adaptive MCMC NeurIPS 2019 Sample complexity of partition identification using multi-armed bandits COLT 2019 Sample Complexity of Sinkhorn Divergences AISTATS 2019 Sample Efficient Graph-Based Optimization with Noisy Observations AISTATS 2019 Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019 Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics AISTATS 2019 Sampling from Stochastic Finite Automata with Applications to CTC Decoding Interspeech 2019 SAT-Based Explicit LTLf Satisfiability Checking AAAI 2019 Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access IJCAI 2019 Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization RSS 2019 Scalable Approximations for Generalized Linear Problems JMLR 2019 Scalable Fair Clustering ICML 2019 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NeurIPS 2019 Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019 Scalable Learning in Reproducing Kernel Krein Spaces ICML 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019 Scalable Robust Kidney Exchange AAAI 2019