图 书 馆开课单位--芝加哥大学
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1Using Data for Social Good[利用数据造福社会]
Rayid Ghani(芝加哥大学) This talk will discuss ways in which data, analytics, machine learning, and all other related buzzwords can be used to solve problems with social impa...
热度：65
Rayid Ghani(芝加哥大学) This talk will discuss ways in which data, analytics, machine learning, and all other related buzzwords can be used to solve problems with social impa...
热度：65
2Opening Remarks at the Chandrasekhar Centennial Symposium 2010[2010钱德拉塞卡百年纪念研讨会开场白]
Robert M. Wald(芝加哥大学) Opening Remarks at the Chandrasekhar Centennial Symposium 2010.
热度：40
Robert M. Wald(芝加哥大学) Opening Remarks at the Chandrasekhar Centennial Symposium 2010.
热度：40
3Joint Learning of Multiple Structured Output Prediction Tasks[多结构输出预测任务的联合学习]
Yasemin Altun(芝加哥大学)
热度：47
Yasemin Altun(芝加哥大学)
热度：47
45Semi-supervised Learning by Higher Order Regularization[高阶正则化的半监督学习]
Xueyuan Zhou(芝加哥大学) In semi-supervised learning, at the limit of infinite unlabeled points while fixing labeled ones, the solutions of several graph Laplacian regularizat...
热度：48
Xueyuan Zhou(芝加哥大学) In semi-supervised learning, at the limit of infinite unlabeled points while fixing labeled ones, the solutions of several graph Laplacian regularizat...
热度：48
6The Dark Side of the Universe: Dark Matter and Dark Energy[宇宙的黑暗面：暗物质和暗能量]
Michael Turner(芝加哥大学) 宇宙的黑暗面：暗物质和暗能量
热度：65
Michael Turner(芝加哥大学) 宇宙的黑暗面：暗物质和暗能量
热度：65
7Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback[改进的后悔保证与强盗反馈在线平滑凸优化]
Ankan Saha(芝加哥大学) The study of online convex optimization in the bandit setting was initiated by Kleinberg (2004) and Flaxman et al. (2005). Such a setting models a dec...
热度：40
Ankan Saha(芝加哥大学) The study of online convex optimization in the bandit setting was initiated by Kleinberg (2004) and Flaxman et al. (2005). Such a setting models a dec...
热度：40
8910Concentration-Based Guarantees for Low-Rank Matrix Reconstruction[基于集中的低秩矩阵重构保证]
Rina Foygel(芝加哥大学) We consider the problem of approximately reconstructing a partially-observed, approximately low-rank matrix. This problem has received much attention ...
热度：123
Rina Foygel(芝加哥大学) We consider the problem of approximately reconstructing a partially-observed, approximately low-rank matrix. This problem has received much attention ...
热度：123