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Showing results 27 to 46 of 62 < previous next >

Issue Date	Title	Author(s)
2018	Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation	Aboagye, Nana
2020	Latent Variable Models: Spectral Methods and Non-convex Optimization	Wang, Kaizheng
2019	Lookahead Approximations for Online Learning with Nonlinear Parametric Belief Models	Han, Weidong
2021	Machine Learning for Decision Making: Applications to Off-Policy Learning and Combinatorial Optimization	Lu, Hao
2022	Mean Field Models with Heterogeneous Agents: Extensions and Learning	Dayanıklı, Gökçe
2022	Multi-Agent Sequential Decision Modeling for Information Collection and Intervention in Epidemics and Wildfires	Thul, Lawrence A
2018	Multistage Stochastic Programming with Parametric Cost Function Approximations	Perkins, Raymond Theodore
2018	Nonconvex Statistical Optimization	Wang, Zhaoran
2015	On set-valued functionals: multivariate risk measures and Aumann integrals	Ararat, Cagin
2020	On the Geometric Structure of Problems in Statistics and Optimization	Pumir, Thomas
2020	Optimal Decision Making via Stochastic Modeling and Machine Learning: Applications to Resource Allocation Problems and Sequential Decision Problems	Ekwedike, Emmanuel
2014	Optimal Execution in a Limit Order Book: A Stochastic Control Approach	Luo, Haifeng
2021	Optimal investment in incomplete markets with multiple Brownian externalities	Avanesyan, Levon
2017	Optimal Learning for Nonlinear Parametric Belief Models	He, Xinyu
2016	Optimal Learning in High Dimensions	Li, Yan
2018	Optimization over Nonnegative and Convex Polynomials with and without Semidefinite Programming	Hall, Georgina
2021	Perfect Graphs and Sums of Squares	Dibek, Cemil
2022	Policy Evaluation in Batch Reinforcement Learning	Duan, Yaqi
2022	Portfolio Management under Multi-Period Frameworks with Modern Approaches	Li, Xiaoyue
2018	Portfolio Optimization with Mean-reverting Assets: Combining Theory with Deep Learning.	Ye, Jing

Showing results 27 to 46 of 62 < previous next >