开课单位--加州大学

31
Blackwell Approachability and No-Regret Learning are Equivalent[布莱克威尔的平易近人和无悔学习是等价的]
   Jacob Abernethy(加州大学) We consider the celebrated Blackwell Approachability Theorem for two-player games with vector payoffs. Blackwell himself previously showed that the th...
热度:105

32
Divide and Conquer Kernel Ridge Regression[分治核岭回归]
  Yuchen Zhang(加州大学) We study a decomposition-based scalable approach to performing kernel ridge regression. The method is simply described: it randomly partitions a datas...
热度:23

33
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity[含噪声和缺失数据的高维回归:非凸性的可证明保证]
   Po-Ling Loh(加州大学) Although the standard formulations of prediction problems involve fully-observed and noiseless data drawn in an i.i.d. manner, many applications invol...
热度:36

34
The Origin of Computable Numbers: A Tale of Two Classics[可计算数的起源:两个经典的故事]
  Christos H. Papadimitriou(加州大学) Turing, like Darwin, transformed scientific and human culture through a singularly disruptive work written in a brilliantly self-conscious style. I sh...
热度:34

35
Do Effects of Early Child Care Extend to Age 15 Years?[早期儿童保育的作用能延长到15岁吗?]
  Deborah Vandell(加州大学) Recorded on October 4, 2010.Department of Education Recorded lecture from Department of Education's Brownbag Lunch Series: "Do Effects of Ear...
热度:31

36
Reproductive Choices & Challenges for PLHIV: Client & Provider Perspectives from South Africa[PLHIV的生殖选择和挑战:来自南非的客户和提供者视角]
  Deborah Mindry(加州大学) A Public Health Seminar, delivered October 8, 2012, titled: "Reproductive Choices & Challenges for PLHIV: Client & Provider Perspectives ...
热度:43

37
On Computational Thinking, Inferential Thinking and Data Science[论计算思维、推理思维与数据科学]
  Michael I. Jordan(加州大学) The rapid growth in the size and scope of datasets in science and technology has created a need for novel foundational perspectives on data analysis t...
热度:41

38
Analyzing Expert Behaviors in Collaborative Networks[协同网络中专家行为分析]
  Huan Sun(加州大学) Collaborative networks are composed of experts who cooperate with each other to complete specific tasks, such as resolving problems reported by custom...
热度:29

39
Part-Based R-CNNs for Fine-Grained Category Detection[基于零件的R-CNNs用于细粒度分类检测]
  Ning Zhang(加州大学) Semantic part localization can facilitate fine-grained categorization by explicitly isolating subtle appearance differences associated with specific o...
热度:49

40
Convex Optimization[凸优化]
  Lieven Vandenberghe(加州大学) The lectures will provide an introduction to the theory and applications of convex optimization. ;The emphasis will be on results useful for convex mo...
热度:384