Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences
Zheshun Wu, Wei Chen, Zenglin Xu, Fang Kong
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
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Zheshun Wu, Wei Chen, Zenglin Xu, Fang Kong
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
Rongfeng Guo, Yinxuan Huang, Wei Chen, Mingyang Zhou, Yusen Wu, Yangchen Zeng, Han Chen, Hao Liao
2026 the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2026
The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are looking for a highly skilled applied scientist with development and management skills and…
We are building a large scale, demand intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. As a Principal Applied Scientist, you will define scientific vision and lead…
We are the Data & Applied Sciences team for Microsoft Teams, based in Bangalore, India. Our mission is to leverage generative AI, advanced machine learning, deep learning, and data science to drive informed decision-making, improve…
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. We are hiring for multiple…
Thomas Kesselheim, Marco Molinaro, Kalen Patton, Sahil Singla
FOCS 2026
Jiayi Mao, Liqun Li, Yanjie Gao, Zegang Peng, Shilin He, Chaoyun Zhang, Si Qin, Samia Khalid, Qingwei Lin, Saravan Rajmohan, Sitaram Lanka, Dongmei Zhang
FSE’26 | July 2026