semidefinite programming
PulseAugur coverage of semidefinite programming — every cluster mentioning semidefinite programming across labs, papers, and developer communities, ranked by signal.
4 天有情绪数据
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神经网络高精度预测量子材料特性
研究人员开发了一个新的神经网络框架，旨在以更高的准确性和效率预测双粒子约化密度矩阵（2-RDMs）。该框架将可表征条件直接纳入其架构和损失函数，使其能够在不同的动量网格上运行。该方法被应用于研究扭曲双层MoTe$_2$中的分数陈绝缘体，在2-RDM和基态能量方面取得了高度准确的预测，在参数数量和能量准确性方面优于传统的半定规划方法。
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New randomized algorithm tackles NP-hard Sparse PCA
Researchers have developed a new randomized approximation algorithm for Sparse Principal Component Analysis (SPCA), a technique crucial for dimensionality reduction that is known to be NP-hard. The algorithm leverages a…
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New SDP framework enables AI agents to build state spaces
Researchers have developed a new framework called the State-Centric Decision Process (SDP) to address limitations in language environments for AI agents. SDP enables agents to construct necessary inputs like state space…
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新方法通过集成模型和最坏情况分布分析增强鲁棒优化
研究人员开发了用于分布鲁棒优化（一种考虑数据分布不确定性的技术）的新方法。一种方法是集成分布鲁棒贝叶斯优化（Ensemble Distributionally Robust Bayesian Optimization），它使用模型集成来提高鲁棒性并实现理论上的次线性遗憾界限。另一篇论文介绍了分布鲁棒多目标优化（DR-MOO），其算法在最坏情况分布下最小化目标，从而提高了样本复杂度。此外，还提出了一个用于分布鲁棒学习的框架，以优化一阶方…
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Researchers achieve near-optimal regret in safe learning-based control for constrained LQR
Researchers have developed a new algorithm for adaptive control of stochastic linear quadratic regulators with constraints. This algorithm achieves near-optimal regret of $\tilde{O}(\sqrt{T})$ and satisfies chance const…