Decision, Optimization and Learning at the California Institute of Technology


In our increasingly data-rich world, it is more important than ever to develop principled approaches that can intelligently convert raw data into actionable knowledge. It is clear that intelligent information processing is now a critical bottleneck in many scientific and engineering endeavors, ranging from planning clinical trials to managing smart energy grids.

At Caltech, we take a broad and integrated view of research in data-driven intelligent systems. On the one hand, statistical machine learning is required to extract knowledge in the form of data-driven models. On the other hand, statistical decision theory is required to intelligently plan and make decisions given imperfect knowledge. Supporting both thrusts is optimization.

DOLCIT brings together people from machine learning, optimization, applied math, statistics, control, robotics, and human-computer interaction to form an intellectual core pertaining fundamental and applied research in "Decision, Optimization, and Learning at the California Institute of Technology (DOLCIT)." DOLCIT envisions a world where intelligent systems seamlessly integrate learning and planning, as well as automatically balance computational and statistical tradeoffs in the underlying optimization problems.


Research in DOLCIT spans traditional areas from applied math (e.g., statistics and optimization) to computer science (e.g., machine learning and distributed systems) to electrical engineering (e.g., signal processing and information theory). Further, we look broadly at applications spanning information and communication systems to the physical sciences (neuroscience and biology) to social systems (economic markets and personalized medicine). The group emphasizes an integrated approach to fundamental research and practical applications.


  • Mathematical optimization
  • Convex relaxation methods
  • 一加社区 - 一加手机社区官方论坛:2 天前 · 一加手机官方论坛。一加手机开箱体验、测评报告、玩机技巧、手游攻略。与你分享美图及摄影技巧,众多大神教你轻松刷机,并有丰富手机资源任由下载。百万加油大家庭,交流更随心 ,一加手机社区官方论坛
  • Spatiotemporal modeling
  • Hair Care Electrolysis Permanent Hair Removal - 速度快的vpn:2021-6-5 · biubiu加速器怎么连外网 Polo 专业版 谷歌gms下载 fg伕理软件百度云 2021修改dns上Google 一加手机怎么买搭梯子 vpn订阅地址怎么使用 WWW.RB932.COM sub免费网络加速器官网下载 别克新君 …
  • Sparse approximation
  • Randomized algorithms
  • 国外梯子:2021-6-5 · 电脑用的翻墙 天行sky加速器 ssr使用az中转什么意思 中国可众用推特吗 手机如何连外网服务 ... 8lag加速器破解版 楼梯踏步 ⅤPN网络 怎么挂vnp手机 ss号多大 网络加速器免费版下载 人搭梯子 冰灵SSR 破解加速 手机免费 vnp baccloud ...
  • Structured prediction
  • Reinforcement learning
  • Crowdsourcing


  • Learning with humans in the loop
  • Personalized medicine
  • Data-driven animation
  • 如何自己搭建梯子上外网
  • Autonomous Systems
  • Sports analytics
  • Learning in games
  • Social networks
  • Market design
  • Computational vision
  • Behavioral analysis

Research in DOLCIT is unique, in part, because of its focus on the interplay between the application domains and analytic tools above. This shows up in many of the ongoing projects in the group as well as in the broad backgrounds of the faculty and students that make up DOLCIT.

Interested in joining DOLCIT? We are actively recruiting students and postdocs. Click here for more information.

贝壳加速器官方网址,贝壳加速器ios下载,贝壳加速器电脑版下载,贝壳加速器7天试用  宙斯加速器电脑版下载,宙斯加速器vnp,宙斯加速器免费永久加速,宙斯加速器2024  鹰眼加速器永久免费加速,鹰眼加速器免费试用,鹰眼加速器跑路了,鹰眼加速器vps  星云加速器免费永久加速,星云加速器7天试用,星云加速器2024年,星云加速器vqn  佛跳墙vnp破解版,佛跳墙vnpios下载,佛跳墙vnp用不了了,佛跳墙vnp不能用了  ClashVPN最新版,ClashVPNios下载,ClashVPN电脑版下载,ClashVPNnpv  红客加速器官方网址,红客加速器免费永久加速,红客加速器7天试用,红客加速器vp