What is a fair performance metric?

Experiments are usually performed in one environment (e.g., in a lab, on Earth) with the

Questions on whether governments have acted promptly enough, and whether lockdown measures can be lifted soon, have since been central in public discourse. Data-driven models that predict COVID-19 fatalities under different lockdown policy scenarios are essential for addressing these questions and informing governments on future policy directions.

We consider the problem of identifying multiway block structure from a large noisy tensor. Such problems arise frequently in applications such as genomics, recommendation system, topic modeling, and sensor network localization.

To solve this, we perform probabilistic reasoning over the depth of neural networks.

Networks are a natural representation of complex systems across the sciences, and higher-order dependencies are central to the understanding and modeling of these systems.

Neural Information Processing Systems http://nips.cc/

Q2: Please summarize your review in 1-2 sentences The paper's main contribution are theoretical error bounds for a recently proposed low-rank tensor decomposition approach. The paper seems technically sound, but the results are somewhat incremental and may suffer from limited impact at NIPS.

Conditioning refers to the existence of multiple input signals.