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Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products
We consider the problem of sufficient dimension reduction (SDR) for multi-index models.
Nuances in Margin Conditions Determine Gains in Active Learning
We consider nonparametric classification with smooth regression functions, where it is well known that notions of margin in $E[Y|X]$ determine fast or slow rates in both active and passive learning.
Weakly Supervised Learning Creates a Fusion of Modeling Cultures
The past two decades have witnessed the great success of the algorithmic modeling framework advocated by Breiman et al. (2001).
Cultural Vocal Bursts Intensity Prediction
Weakly-supervised Learning
