72 citations · 263 across the 31 of their papers we have counts for
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stat.ML2019★ 23 cited
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
Kenji Kawaguchi, Haihao Lu
We propose a new stochastic optimization framework for empirical risk minimization problems such as those that arise in machine learning. The traditional approaches, such as (mini-…
cs.LG2019★ 12 cited
Accelerating Gradient Boosting Machine
Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva +1
Gradient Boosting Machine (GBM) is an extremely powerful supervised learning algorithm that is widely used in practice. GBM routinely features as a leading algorithm in machine lea…