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Optimal Stopping Under Partial Observation: Near-Value Iteration

IEEE transactions on automatic control, 2013-02, Vol.58 (2), p.500-506

Enlu Zhou

2013

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Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization

IEEE transactions on automatic control, 2014-07, Vol.59 (7), p.1818-1832

2014

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A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics

SIAM journal on optimization, 2018-01, Vol.28 (2), p.1588-1612

2018

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Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations

IEEE transactions on automatic control, 2018-03, Vol.63 (3), p.698-713

2018

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Information Relaxation and Dual Formulation of Controlled Markov Diffusions

IEEE transactions on automatic control, 2015-10, Vol.60 (10), p.2676-2691

2015

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Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space

INFORMS journal on computing, 2018-01, Vol.30 (1), p.154-167

2018

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Solving the Dual Problems of Dynamic Programs via Regression

IEEE transactions on automatic control, 2018-05, Vol.63 (5), p.1340-1355

2018

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Solving Continuous-State POMDPs via Density Projection

IEEE transactions on automatic control, 2010-05, Vol.55 (5), p.1101-1116

2010

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Accurately tracking single-cell movement trajectories in microfluidic cell sorting devices

PloS one, 2018-02, Vol.13 (2), p.e0192463-e0192463

2018

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Simulation optimization when facing input uncertainty

2015 Winter Simulation Conference (WSC), 2015, p.3714-3724

2015

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Optimal Stopping of Partially Observable Markov Processes: A Filtering-Based Duality Approach

IEEE transactions on automatic control, 2013-10, Vol.58 (10), p.2698-2704

2013

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Comparisons of lymphocytes profiles and inflammatory cytokines levels in blood of patients with differed severity of infection by human adenovirus type 7

BMC infectious diseases, 2023-03, Vol.23 (1), p.174-174, Article 174

2023

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Quantifying uncertainty in sample average approximation

2015 Winter Simulation Conference (WSC), 2015, p.3846-3857

2015

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GLaMST: grow lineages along minimum spanning tree for b cell receptor sequencing data

BMC genomics, 2020-09, Vol.21 (Suppl 9), p.583-583, Article 583

2020

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Indirubin-3′-monoxime exhibits potent antiviral and anti-inflammatory effects against human adenoviruses in vitro and in vivo

Biomedicine & pharmacotherapy, 2024-05, Vol.174, p.116558-116558, Article 116558

2024

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Ranking and selection under input uncertainty: A budget allocation formulation

2017 Winter Simulation Conference (WSC), 2017, p.2245-2256

2017

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The empirical likelihood approach to quantifying uncertainty in sample average approximation

Operations research letters, 2017-07, Vol.45 (4), p.301-307

2017

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A Distributed Bayesian Data Fusion Algorithm With Uniform Consistency

IEEE transactions on automatic control, 2024-09, Vol.69 (9), p.6176-6182

2024

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Optimizing Conditional Value-at-Risk via gradient-based adaptive stochastic search

2016 Winter Simulation Conference (WSC), 2016, p.726-737

2016

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Data-Driven Ranking and Selection Under Input Uncertainty

Operations research, 2024-03, Vol.72 (2), p.781-795

2024

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Optimal Computing Budget Allocation for Data-Driven Ranking and Selection

INFORMS journal on optimization, 2024-09

2024

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Optimal computing budget allocation with input uncertainty

2016 Winter Simulation Conference (WSC), 2016, p.839-846

2016

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Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data

SIAM journal on optimization, 2024-03, Vol.34 (1), p.389-418

2024

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Simulation optimization via gradient-based stochastic search

Proceedings of the Winter Simulation Conference 2014, 2014, p.3869-3879

2014

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A model-based approach to multi-objective optimization

2015 Winter Simulation Conference (WSC), 2015, p.3599-3609

2015

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Optimal Stopping Under Partial Observation: Near-Value Iteration

Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization

A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics

Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations

Information Relaxation and Dual Formulation of Controlled Markov Diffusions

Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space

Solving the Dual Problems of Dynamic Programs via Regression

Solving Continuous-State POMDPs via Density Projection

Accurately tracking single-cell movement trajectories in microfluidic cell sorting devices

Simulation optimization when facing input uncertainty

Optimal Stopping of Partially Observable Markov Processes: A Filtering-Based Duality Approach

Comparisons of lymphocytes profiles and inflammatory cytokines levels in blood of patients with differed severity of infection by human adenovirus type 7

Quantifying uncertainty in sample average approximation

GLaMST: grow lineages along minimum spanning tree for b cell receptor sequencing data

Indirubin-3′-monoxime exhibits potent antiviral and anti-inflammatory effects against human adenoviruses in vitro and in vivo

Ranking and selection under input uncertainty: A budget allocation formulation

The empirical likelihood approach to quantifying uncertainty in sample average approximation

A Distributed Bayesian Data Fusion Algorithm With Uniform Consistency

Optimizing Conditional Value-at-Risk via gradient-based adaptive stochastic search

Data-Driven Ranking and Selection Under Input Uncertainty

Optimal Computing Budget Allocation for Data-Driven Ranking and Selection

Optimal computing budget allocation with input uncertainty

Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data

Simulation optimization via gradient-based stochastic search

A model-based approach to multi-objective optimization

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