Mathematics & Optimization

Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019 Long-Distance Dependencies Don’t Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations ACL 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Lovasz Convolutional Networks AISTATS 2019 Low-Distortion Social Welfare Functions AAAI 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019 Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019 Lower Bounds for Smooth Nonconvex Finite-Sum Optimization ICML 2019 Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models COLT 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation AISTATS 2019 Low-Rank Approximations of Second-Order Document Representations CoNLL 2019 Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing NeurIPS 2019 Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning EMNLP 2019 Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition CVPR 2019 Low-Rank Semidefinite Programming for the MAX2SAT Problem AAAI 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 Fast Graph-based Algorithms with Graph Metric Embeddings ACL 2019 Making Money from What You Know - How to Sell Information? AAAI 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 Making the Last Iterate of SGD Information Theoretically Optimal COLT 2019 Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Markov Properties of Discrete Determinantal Point Processes AISTATS 2019