言栖资讯收录 117833 篇 AI、开发与建站文章（English），按发布时间排序，支持搜索与按语言筛选。
arXiv:2611.07436v1 Announce Type: new Abstract: Control-theoretic approaches to constrained optimization have been widely studied by interpreting optimization a…
arXiv:2611.07415v1 Announce Type: new Abstract: Truncated backpropagation through time reduces the computational burden of training recurrent models by restrict…
arXiv:2611.07412v1 Announce Type: new Abstract: Passive voltage regulation in distribution grids using distributed energy resources (DERs) is becoming the stand…
arXiv:2611.07383v1 Announce Type: new Abstract: In this paper, we study the optimal consensus problem for multiagent systems with unknown dynamics. We propose a…
arXiv:2611.07320v1 Announce Type: new Abstract: Within the multiple-model framework, active fault diagnosis applies auxiliary control input signals to ex?cite t…
arXiv:2611.07276v1 Announce Type: new Abstract: The passivity of a generating station enables network stability to be established from conditions verified local…
arXiv:2611.07163v1 Announce Type: new Abstract: Distance based formation control fixes the shape of a robot team but leaves its position and orientation unconst…
arXiv:2611.00771v2 Announce Type: replace Abstract: We estimate the integral curve of an unknown vector field from noisy tangent vector field on a known compact…
arXiv:2608.18374v2 Announce Type: replace Abstract: We address two open questions in streaming PCA via Oja's algorithm: sharp operator-norm convergence for gene…
arXiv:2607.10456v2 Announce Type: replace Abstract: Expert background knowledge is often available in practical applications of causal discovery. Such constrain…
arXiv:2606.21036v2 Announce Type: replace Abstract: In many domains, practitioners seek models that produce accurate forecasts while faithfully capturing latent…
arXiv:2606.13796v2 Announce Type: replace Abstract: Recursive training of generative models on their own outputs can lead to model collapse, a compounding drift…
arXiv:2605.08866v2 Announce Type: replace Abstract: Inverse optimization (IO) seeks to infer the parameters of a decision-maker's objective from observed contex…
arXiv:2602.03168v2 Announce Type: replace Abstract: Online conformal prediction (OCP) seeks prediction intervals that achieve long-run $1-\alpha$ coverage for a…
arXiv:2511.17783v2 Announce Type: replace Abstract: Node popularity is recognized as a key factor in modeling real-world networks, capturing heterogeneity in co…
arXiv:2509.14039v2 Announce Type: replace Abstract: In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We d…
arXiv:2611.08414v1 Announce Type: cross Abstract: Low-rank adaptation (LoRA) is commonly used in both supervised fine-tuning (SFT) and reinforcement learning (R…
arXiv:2611.08409v1 Announce Type: cross Abstract: Uncertainty quantification is crucial in scientific machine learning, where models inform safety-critical task…
arXiv:2611.08182v1 Announce Type: cross Abstract: We identify an intriguing phenomenon when linearly interpolating between permutation-aligned neural networks: …
arXiv:2611.08077v1 Announce Type: cross Abstract: We propose a doubly-robust method to estimate the causal effects of multi-valued treatment regimes on patient …