Statistical, mathematical, and computational aspects of noisy intermediate-scale quantum computersÂ
Speaker: Gil Kalai (Hebrew University and IDC Herzliya) Title: Statistical, mathematical, and computational aspects of noisy intermediate-scale quantum computers Abstract: Noisy intermediate-scale quantum (NISQ) Computers hold the key for important theoretical and experimental questions regarding quantum computers. In the lecture I will describe some questions about mathematics, statistics and computational complexity which arose in my study of NISQ systems and […]
Triple Descent and a Fine-Grained Bias-Variance Decomposition
Speaker: Jeffrey Pennington, Google Brain Title: Triple Descent and a Fine-Grained Bias-Variance Decomposition Abstract: Classical learning theory suggests that the optimal generalization performance of a machine learning model should occur at an intermediate model complexity, striking a balance between simpler models that exhibit high bias and more complex models that exhibit high variance of the […]