Doug Hains

17 papers A* 3A 4Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Know When to Fold: Futility-Aware Early Termination in Online Experiments.
WWW (Companion Volume)
Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2024 A* conf
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.
AAAI
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023 J jnl
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.
CoRR
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023 A* conf
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
KDD
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023 J jnl
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
CoRR
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023 — conf
Leveraging covariate adjustments at scale in online A/B testing.
CDPD
Lorenzo Masoero, Doug Hains, James McQueen
2022 A conf
A Bayesian Model for Online Activity Sample Sizes.
AISTATS
Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains
2021 J jnl
Bayesian Sample Size Prediction for Online Activity.
CoRR
Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains
2013 A* conf
Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT.
AAAI
L. Darrell Whitley, Adele E. Howe, Doug Hains
2013 A conf
Hyperplane initialized local search for MAXSAT.
GECCO
Doug Hains, L. Darrell Whitley, Adele E. Howe, Wenxiang Chen
2013 A conf
Second order partial derivatives for NK-landscapes.
GECCO
Wenxiang Chen, L. Darrell Whitley, Doug Hains, Adele E. Howe
2012 — conf
Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP.
PPSN (2)
Doug Hains, L. Darrell Whitley, Adele E. Howe
2011 — conf
Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices.
IPDPS Workshops
Doug Hains, Zach Cashero, Mark Ottenberg, Wim Bohm, Sanjay V. Rajopadhye
2011 J jnl
Revisiting the big valley search space structure in the TSP.
J. Oper. Res. Soc.
Doug Hains, L. Darrell Whitley, Adele E. Howe
2010 — conf
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover.
PPSN (1)
L. Darrell Whitley, Doug Hains, Adele E. Howe
2009 — conf
Improved Robustness through Population Variance in Ant Colony Optimization.
SLS
David C. Matthews, Andrew M. Sutton, Doug Hains, L. Darrell Whitley
2009 A conf
Tunneling between optima: partition crossover for the traveling salesman problem.
GECCO
L. Darrell Whitley, Doug Hains, Adele E. Howe