Events
Rajan Udwani (University of California, Berkeley) – Submodular Order Functions and Assortment Optimization
Rajan Udwani (University of California, Berkeley) – Submodular Order Functions and Assortment Optimization
Wellington Foo (Mitra Famosa International) – Limitations of Automation in our Logistics Industry
Wellington Foo (Mitra Famosa International) – Limitations of Automation in our Logistics Industry
Xu Yunjian (The Chinese University of Hong Kong) – Optimal Policy Characterization for Action Space Dimensionality Reduction in Stochastic Deadline Scheduling
Xu Yunjian (The Chinese University of Hong Kong) – Optimal Policy Characterization for Action Space Dimensionality Reduction in Stochastic Deadline Scheduling
Yancheng Yuan (The Hong Kong Polytechnic University) – Convex Clustering Model: A New “Fashion” for Clustering
Yancheng Yuan (The Hong Kong Polytechnic University) – Convex Clustering Model: A New “Fashion” for Clustering
Wei Sun (IBM T. J. Watson Research Center) – Counterfactual-based Prescriptive Trees
Wei Sun (IBM T. J. Watson Research Center) – Counterfactual-based Prescriptive Trees
James Trevelyan (The University of Western Australia) – Engineering Practice – Social Science Research
James Trevelyan (The University of Western Australia) – Engineering Practice – Social Science Research
Mingmei Li & Benjamin Tan (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute
Mingmei Li & Benjamin Tan (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute
Vishal Gupta (USC Marshall School of Business) – Data Pooling in Stochastic Optimization for Panel Data
Vishal Gupta (USC Marshall School of Business) – Data Pooling in Stochastic Optimization for Panel Data
Costas Courcoubetis (Chinese University of Hong Kong) – Topics in the Analysis and Optimization of Decentralized Systems
Costas Courcoubetis (Chinese University of Hong Kong) – Topics in the Analysis and Optimization of Decentralized Systems
Alper Atamturk (University of California, Berkeley) – Sparse Estimation: Closing the Gap Between L0 and L1 Models
Alper Atamturk (University of California, Berkeley) – Sparse Estimation: Closing the Gap Between L0 and L1 Models