Shipra Agrawal is an Assistant Professor in the Department of Industrial Engineering and Operations Research, and member of Data Science Institute, at Columbia University. Her research spans several areas of optimization and machine learning, including data-driven optimization under partial, uncertain, and online inputs, and related concepts in learning, namely multi-armed bandits, online learning, and reinforcement learning. She is also interested in prediction markets and game theory. Application areas of her interests include internet advertising, recommendation systems, revenue management and resource allocation problems. She serves on editorial board of Management Science. Shipra received her PhD in Computer Science from Stanford University in June 2011 under guidance of Prof. Yinyu Ye, and was a researcher at Microsoft Research India from July 2011 to August 2015. For further information, please see CV . Here is a press article about some of her recent research.
我们专注于根据您的具体需求（包括演讲议题、会议日期及活动预算等），为您精准匹配各领域专业嘉宾。为高效服务，建议您提前准备好详细活动信息，并拨打客服电话：18911802888（工作日9:00-18:00）。
温馨提示：本服务仅限嘉宾邀约相关事宜，其他需求暂不处理，感谢您的理解与配合。