Jun Lu

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Low-Rank Approximation, Adaptation, and Other Tales. CoRR Jun Lu
2023	J	`jnl`	Bayesian Matrix Decomposition and Applications. CoRR Jun Lu
2022	J	`jnl`	AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio. CoRR Jun Lu
2022	J	`jnl`	Bayesian Low-Rank Interpolative Decomposition for Complex Datasets. CoRR Jun Lu
2022	J	`jnl`	Comparative Study of Inference Methods for Interpolative Decomposition. CoRR Jun Lu
2022	J	`jnl`	Exploring Classic Quantitative Strategies. CoRR Jun Lu
2022	J	`jnl`	Gradient Descent, Stochastic Optimization, and Other Tales. CoRR Jun Lu
2022	J	`jnl`	Matrix Decomposition and Applications. CoRR Jun Lu
2021	J	`jnl`	A rigorous introduction for linear models. CoRR Jun Lu
2021	J	`jnl`	A survey on Bayesian inference for Gaussian mixture model. CoRR Jun Lu
2021	J	`jnl`	Numerical Matrix Decomposition and its Modern Applications: A Rigorous First Course. CoRR Jun Lu
2021	J	`jnl`	On the Column and Row Ranks of a Matrix. CoRR Jun Lu
2021	J	`jnl`	Revisit the Fundamental Theorem of Linear Algebra. CoRR Jun Lu
2017	J	`jnl`	Hyperprior on symmetric Dirichlet distribution. CoRR Jun Lu
2017	J	`jnl`	Machine learning modeling for time series problem: Predicting flight ticket prices. CoRR Jun Lu