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Tag: algorithms

Gradient Sparsification for Communication-Efficient Distributed Optimization

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Sparse PCA from Sparse Linear Regression

MiSoSouP: Extracting the Most “Flavor” from a Dataset

MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension

Learning and Memorization

ICML 2017: A Review of Deep Learning Papers, Talks, and Tutorials

JSM 2017 Experiences

Policy, Work & Careers

David Siegel on Innovation, Machine Learning, and the Future of Work

TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size

Data Science, Engineering

A Workaround for Non-Determinism in TensorFlow

Rademacher Averages: Theory and Practice

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