Optimization

Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019 Lower Bounds for Smooth Nonconvex Finite-Sum Optimization ICML 2019 Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019 Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019 MAGSAC: Marginalizing Sample Consensus CVPR 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019 Making Deep Q-learning methods robust to time discretization ICML 2019 Making the Last Iterate of SGD Information Theoretically Optimal COLT 2019 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map CVPR 2019 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Matrix Completion in the Unit Hypercube via Structured Matrix Factorization IJCAI 2019 Matrix-Free Preconditioning in Online Learning ICML 2019 Maximin-Aware Allocations of Indivisible Goods IJCAI 2019 Maximum Mean Discrepancy Gradient Flow NeurIPS 2019 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019 Measuring and regularizing networks in function space ICLR 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019 Memory Efficient Adaptive Optimization NeurIPS 2019 Meta-Descent for Online, Continual Prediction AAAI 2019