课题基金 / 基金详情

Algorithms and Private Data Analysis

Algorithms and Private Data Analysis
算法和私有数据分析
批准号:
1000233061-2019
负责人:
Nikolov, Aleksandar
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Canada Research Chairs
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

项目摘要

项目成果

Nikolov, Aleksandar的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The focus of the research program is the geometry of data analysis. The goal of the proposed research is to apply techniques from high-dimensional convex geometry and probability to fundamental problems in data analysis. One application domain is private data analysis, where the goal is develop a theory of optimal differentially private algorithms for optimization and learning. Another application domain is near neighbour search in high dimensions, where the goal is to develop algorithms optimal in natural restricted models of computation. Finally, geometric techniques will be used to resolve algorithmic problems in discrepancy theory.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Algorithms and Private Data Analysis
  • 批准号:
    CRC-2020-00004
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $7.29万
  • 财政年份:
    2022
  • 负责人:
    Nikolov, Aleksandar
  • 依托单位:
Geometric Methods in Data Analysis
  • 批准号:
    RGPIN-2021-03206
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2022
  • 负责人:
    Nikolov, Aleksandar
  • 依托单位:
Geometric Methods in Data Analysis
  • 批准号:
    RGPAS-2021-00030
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    Nikolov, Aleksandar
  • 依托单位:
Geometric Methods in Data Analysis
  • 批准号:
    RGPAS-2021-00030
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    Nikolov, Aleksandar
  • 依托单位:
海外基金