Mathematical & Statistical Methods
Cost Effective Active Search
Shali Jiang, Roman Garnett, Benjamin Moseley
Neural Information Processing Systems http://nips.cc/
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication Martijn de V os
We discuss these works in more detail in Section 5. Authors are listed in alphabetical order.
Testing for Families of Distributions via the Fourier Transform
Alistair Stewart, Ilias Diakonikolas, Clement Canonne
Neural Information Processing Systems http://nips.cc/
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk Oren Mangoubi Worcester Polytechnic Institute Nisheeth K. Vishnoi Yale University
Interest in this problem derives from its applications to Bayesian inference and differential privacy.
Deep Poisson gamma dynamical systems
Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
Moreover, we develop stochastic gradient MCMC inference that is scalable to very long multivariate count time series.
Communication Compression for Decentralized Training
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
Neural Information Processing Systems http://nips.cc/
Faster Linear Algebra for Distance Matrices
Such complexities are prohibitive for scaling to large datasets.
SparseHypergraphCommunityDetectionThresholds inStochasticBlockModel
Community detection in random graphs or hypergraphs is an interesting fundamental problem in statistics, machine learning and computer vision.