4 citations · 5 across the 2 of their papers we have counts for
3 papers
physics.ao-ph2021★ 4 cited
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Sijie He, Xinyan Li, Laurie Trenary +3
Sub-seasonal climate forecasting (SSF) is the prediction of key climate variables such as temperature and precipitation on the 2-week to 2-month time horizon. Skillful SSF would ha…
cs.LG2021
Noisy Truncated SGD: Optimization and Generalization
Yingxue Zhou, Xinyan Li, Arindam Banerjee
Recent empirical work on stochastic gradient descent (SGD) applied to over-parameterized deep learning has shown that most gradient components over epochs are quite small. Inspired…
cs.LG2021★ 1 cited
Experiments with Rich Regime Training for Deep Learning
Xinyan Li, Arindam Banerjee
In spite of advances in understanding lazy training, recent work attributes the practical success of deep learning to the rich regime with complex inductive bias. In this paper, we…