1 citations · 2 across the 7 of their papers we have counts for
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Analysis of Adam Algorithms for Stochastic Dynamic Systems
Xin Zheng, Yifei Jin, Lei Guo
The adaptive moment estimation algorithm, known as Adam, is widely used in modern machine learning, owing to its low per-iteration complexity and strong empirical performance. Desp…
Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
Yifei Jin, Xin Zheng, Lei Guo
In large-scale data processing scenarios, data often arrive in sequential streams generated by complex systems that exhibit drifting distributions and time-varying system parameter…
Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability
Yifei Jin, Xin Zheng, Lei Guo
Existing research on judicial sentencing prediction predominantly relies on end-to-end models, which often neglect the inherent sentencing logic and lack interpretability-a critica…
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
Shane Bergsma, Timothy Zeyl, Lei Guo
We propose SutraNets, a novel method for neural probabilistic forecasting of long-sequence time series. SutraNets use an autoregressive generative model to factorize the likelihood…