YMSC Probability SeminarOrganizers：吴昊，杨帆，姜建平，顾陈琳Speaker：Yushu Zheng 郑玉书 (AMSS)Time：Thur., 3:30-4:30 pm, Sept. 26, 2024Venue：C548, Shuangqing Complex Building A清华大学双清综合楼A座 C548Title：Favorite sites for simple random walk in two and more dimensionsAbstract:On the trace of a discrete-time simple random walk on $\mathbb{Z}^d$ for $d\geq 2$, we consider the evolution of...
Abstract: Deep learning has enjoyed huge empirical success in recent years. Although training a deep neural network is a highly nonconvex optimization problem,simple (stochastic) gradient methods are able to produce good solutions that minimize the training error, and more surprisingly, can generalize well to out-of sample data, even when the number of parameters is significantly larger than t...
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