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pro vyhledávání: '"Yan, Shuo"'
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression model that is commonly used in causal inference and beyond. Its strong predictive performance is supported by theoretical guarantees that its posterior distribu
Externí odkaz:
http://arxiv.org/abs/2406.19958
Autor:
Liang, Yan-Shuo, Li, Wu-Jun
Continual learning requires the model to learn multiple tasks sequentially. In continual learning, the model should possess the ability to maintain its performance on old tasks (stability) and the ability to adapt to new tasks continuously (plasticit
Externí odkaz:
http://arxiv.org/abs/2404.00228
We consider two interacting particles on the circle. The particles are subject to stochastic forcing, which is modeled by white noise. In addition, one of the particles is subject to friction, which models energy dissipation due to the interaction wi
Externí odkaz:
http://arxiv.org/abs/2312.01207
Autor:
Ge, Wentao, Chen, Shunian, Chen, Guiming Hardy, Chen, Zhihong, Chen, Junying, Yan, Shuo, Zhu, Chenghao, Lin, Ziyue, Xie, Wenya, Zhang, Xinyi, Chai, Yichen, Liu, Xiaoyu, Song, Dingjie, Wang, Xidong, Gao, Anningzhe, Zhang, Zhiyi, Li, Jianquan, Wan, Xiang, Wang, Benyou
Multimodal large language models (MLLMs) (e.g., GPT-4V, LLaVA, and Claude-3) have broadened the scope of AI applications. Yet, evaluating their performance presents a significant challenge owing to the inherently subjective nature of tasks that do no
Externí odkaz:
http://arxiv.org/abs/2311.13951
Stacking regressions is an ensemble technique that forms linear combinations of different regression estimators to enhance predictive accuracy. The conventional approach uses cross-validation data to generate predictions from the constituent estimato
Externí odkaz:
http://arxiv.org/abs/2309.09880
Autor:
Koralov, Leonid, Yan, Shuo
In this paper, we consider a continuous-time Markov process and prove a local limit theorem for the integral of a time-inhomogeneous function of the process. One application is in the study of the fast-oscillating perturbations of linear dynamical sy
Externí odkaz:
http://arxiv.org/abs/2308.00880
Autor:
Yan, Shuo
We consider coupled slow-fast stochastic processes, where the averaged slow motion is given by a two-dimensional Hamiltonian system with multiple critical points. On a proper time scale, the evolution of the first integral converges to a diffusion pr
Externí odkaz:
http://arxiv.org/abs/2307.14597
Mean decrease in impurity (MDI) is a popular feature importance measure for random forests (RFs). We show that the MDI for a feature $X_k$ in each tree in an RF is equivalent to the unnormalized $R^2$ value in a linear regression of the response on t
Externí odkaz:
http://arxiv.org/abs/2307.01932
Publikováno v:
Gongye shui chuli, Vol 44, Iss 5, Pp 64-70 (2024)
Among the family of two-dimensional materials, the emerging MXenes materials have gained widespread popularity due to the unique properties such as ultra-thin structure, good electrical conductivity, tunable surface functionality, and excellent photo
Externí odkaz:
https://doaj.org/article/4684715637d84f2283bd8901272dd24c
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression algorithm. The posterior is a distribution over sums of decision trees, and predictions are made by averaging approximate samples from the posterior. The combin
Externí odkaz:
http://arxiv.org/abs/2210.09352