| 2013 | AAAI | Using Machine Learning to Improve Stochastic Optimization. | David H. Wolpert, Dev G. Rajnarayan |
| 2012 | CCS | Towards a bayesian network game framework for evaluating DDoS attacks and defense. | Guanhua Yan, Ritchie Lee, Alex Kent, David H. Wolpert |
| 2012 | UAI | Predicting the behavior of interacting humans by fusing data from multiple sources. | Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey |
| 2010 | CiE | Inference Concerning Physical Systems. | David H. Wolpert |
| 2005 | GECCO | A comparative study of probability collectives based multi-agent systems and genetic algorithms. | Chien-Feng Huang, Stefan Bieniawski, David H. Wolpert, Charlie E. M. Strauss |
| 2002 | AAAI | The Design of Collectives of Agents to Control Non-Markovian Systems. | John W. Lawson, David H. Wolpert |
| 2001 | IJCAI | Reinforcement Learning in Distributed Domains: Beyond Team Games. | David H. Wolpert, Joseph Sill, Kagan Tumer |
| 2000 | AAAI | Collective Intelligence and Braess' Paradox. | Kagan Tumer, David H. Wolpert |
| 1997 | KDD | Anytime Exploratory Data Analysis for Massive Data Sets. | Padhraic Smyth, David H. Wolpert |
| 1996 | ICML | Bias Plus Variance Decomposition for Zero-One Loss Functions. | Ron Kohavi, David H. Wolpert |
| 1995 | ICML | Horizonal Generalization. | David H. Wolpert |