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2020 – today
- 2024
[c12]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI 2024: 14044-14051- 2023
- [c11]Runzhe Wan
, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD 2023: 5016-5027 - [c10]Lorenzo Masoero, Doug Hains, James McQueen:
Leveraging covariate adjustments at scale in online A/B testing. CDPD 2023: 25-48 - [i3]Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR abs/2304.00420 (2023) - [i2]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR abs/2312.12871 (2023) - 2022
- [c9]Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains:
A Bayesian Model for Online Activity Sample Sizes. AISTATS 2022: 1775-1785 - 2021
- [i1]Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains:
Bayesian Sample Size Prediction for Online Activity. CoRR abs/2111.12157 (2021)
2010 – 2019
- 2013
- [c8]L. Darrell Whitley, Adele E. Howe, Doug Hains:
Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT. AAAI 2013: 940-946 - [c7]Wenxiang Chen, L. Darrell Whitley, Doug Hains, Adele E. Howe:
Second order partial derivatives for NK-landscapes. GECCO 2013: 503-510 - [c6]Doug Hains, L. Darrell Whitley, Adele E. Howe, Wenxiang Chen:
Hyperplane initialized local search for MAXSAT. GECCO 2013: 805-812 - 2012
- [c5]Doug Hains, L. Darrell Whitley, Adele E. Howe:
Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP. PPSN (2) 2012: 388-397 - 2011
- [j1]Doug Hains, L. Darrell Whitley, Adele E. Howe:
Revisiting the big valley search space structure in the TSP. J. Oper. Res. Soc. 62(2): 305-312 (2011) - [c4]Doug Hains, Zach Cashero, Mark Ottenberg, Wim Bohm, Sanjay V. Rajopadhye:
Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices. IPDPS Workshops 2011: 490-501 - 2010
- [c3]L. Darrell Whitley, Doug Hains, Adele E. Howe:
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover. PPSN (1) 2010: 566-575
2000 – 2009
- 2009
- [c2]L. Darrell Whitley, Doug Hains, Adele E. Howe:
Tunneling between optima: partition crossover for the traveling salesman problem. GECCO 2009: 915-922 - [c1]David C. Matthews, Andrew M. Sutton, Doug Hains, L. Darrell Whitley:
Improved Robustness through Population Variance in Ant Colony Optimization. SLS 2009: 145-149
Coauthor Index
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