# Henry Lam

According to our database

Collaborative distances:

^{1}, Henry Lam authored at least 89 papers between 2009 and 2021.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2021

Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations.

Oper. Res. Lett., 2021

Manag. Sci., 2021

Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization.

CoRR, 2021

CoRR, 2021

CoRR, 2021

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling.

CoRR, 2021

CoRR, 2021

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems.

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View.

ACM Trans. Model. Comput. Simul., 2020

Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling.

Oper. Res., 2020

CoRR, 2020

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy.

CoRR, 2020

Proceedings of the Winter Simulation Conference, 2020

Proceedings of the Winter Simulation Conference, 2020

Proceedings of the Winter Simulation Conference, 2020

Distributionally Constrained Stochastic Gradient Estimation Using Noisy Function Evaluations.

Proceedings of the Winter Simulation Conference, 2020

Proceedings of the Winter Simulation Conference, 2020

Proceedings of the Winter Simulation Conference, 2020

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Recovering Best Statistical Guarantees via the Empirical Divergence-Based Distributionally Robust Optimization.

Oper. Res., 2019

Oper. Res., 2019

Oper. Res., 2019

CoRR, 2019

CoRR, 2019

Asia Pac. J. Oper. Res., 2019

Proceedings of the 2019 Winter Simulation Conference, 2019

On The Stability of Kernelized Control Functionals On Partial And Biased Stochastic Inputs.

Proceedings of the 2019 Winter Simulation Conference, 2019

Proceedings of the 2019 Winter Simulation Conference, 2019

Proceedings of the 2019 Winter Simulation Conference, 2019

Proceedings of the 2019 Winter Simulation Conference, 2019

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

IEEE Trans. Intell. Transp. Syst., 2018

IEEE Trans. Intell. Transp. Syst., 2018

Manag. Sci., 2018

Comput. Stat. Data Anal., 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Designing Importance samplers to simulate Machine Learning Predictors via Optimization.

Proceedings of the 2018 Winter Simulation Conference, 2018

Constructing simulation output Intervals under input uncertainty via Data sectioning.

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the 2018 Winter Simulation Conference, 2018

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques.

IEEE Trans. Intell. Transp. Syst., 2017

The empirical likelihood approach to quantifying uncertainty in sample average approximation.

Oper. Res. Lett., 2017

Oper. Res., 2017

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.

CoRR, 2017

Proceedings of the 2017 Winter Simulation Conference, 2017

Proceedings of the 2017 Winter Simulation Conference, 2017

Proceedings of the 2017 Winter Simulation Conference, 2017

Proceedings of the 2017 Winter Simulation Conference, 2017

An accelerated testing approach for automated vehicles with background traffic described by joint distributions.

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Towards affordable on-track testing for autonomous vehicle - A Kriging-based statistical approach.

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models.

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Math. Oper. Res., 2016

Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques.

CoRR, 2016

Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models.

CoRR, 2016

Proceedings of the Winter Simulation Conference, 2016

Proceedings of the Winter Simulation Conference, 2016

Advanced tutorial: Input uncertainty and robust analysis in stochastic simulation.

Proceedings of the Winter Simulation Conference, 2016

Approximating data-driven joint chance-constrained programs via uncertainty set construction.

Proceedings of the Winter Simulation Conference, 2016

2015

CoRR, 2015

Proceedings of the 2015 Winter Simulation Conference, 2015

Proceedings of the 2015 Winter Simulation Conference, 2015

Proceedings of the 2015 Winter Simulation Conference, 2015

Mirror descent stochastic approximation for computing worst-case stochastic input models.

Proceedings of the 2015 Winter Simulation Conference, 2015

2014

Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model.

IEEE Trans. Learn. Technol., 2014

Math. Oper. Res., 2014

From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments.

CoRR, 2014

Proceedings of the 2014 Winter Simulation Conference, 2014

Proceedings of the 2014 Winter Simulation Conference, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Graph-based peak alignment algorithms for multiple liquid chromatography-mass spectrometry datasets.

Bioinform., 2013

Iterative methods for robust estimation under bivariate distributional uncertainty.

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Proceedings of the Winter Simulation Conference, 2012

Proceedings of the 29th International Symposium on Theoretical Aspects of Computer Science, 2012

Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

2011

CoRR, 2011

Proceedings of the Winter Simulation Conference 2011, 2011

Proceedings of the Winter Simulation Conference 2011, 2011

2010

Proceedings of the Proteome Bioinformatics, 2010

2009

Queueing Syst. Theory Appl., 2009