8月9日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics - Effective Algorithms for Differentially Private Synthetic Data Generation
Differentially private synthetic data provide a powerful mechanism to enable data analysis while protecting sensitive information about individuals.
8月3日
研讨会, 演讲, 讲座
Department of Mathematics - IEDA/MATH Joint Seminar - Disintermediation of Financial Services: Promises and Risks
Blockchain is a distributed ledger technology built around the principles of transparency and decentralization. Initially conceived as the backbone technology for cryptocurrency payments, blockchain has expanded to support a large class of business applications.
8月3日
研讨会, 演讲, 讲座
Department of Industrial Engineering & Decision Analytics [Joint IEDA / MATH Seminar]  - Disintermediation of Financial Services: Promises and Risks
Blockchain is a distributed ledger technology built around the principles of transparency and decentralization.
8月3日
研讨会, 演讲, 讲座
Physics Department - Atomic Structure-properties Study of Defects in Emerging 2D Materials
8月2日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - α-Carbonyl Functionalizations from Sulfoxonium Ylides and Diazo Compounds
Speaker: Professor Antonio C. B. BURTOLOSO Institution: Chemistry Institute, the University of São Paulo (São Carlos Campus), Brazil Hosted By: Professor Jianwei SUN
8月1日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Palladium-Catalyzed Oxidation Reactions of Unsaturated Bonds
Speaker: Professor Huanfeng JIANG Institution: School of Chemistry and Chemical Engineering, South China University of Technology, China Hosted By: Professor Jianwei SUN
7月27日
研讨会, 演讲, 讲座
Physics Department - Active Zero-Index/Meta-Optics and “Meta”-Optical Fibers
7月26日
研讨会, 演讲, 讲座
Department of Mathematics - IEDA/MATH Joint Seminar - Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Offline policy learning aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn the optimal individualized decision rule in a given class.
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