| 2020 | AISTATS | Online Learning Using Only Peer Prediction. | Yang Liu, David P. Helmbold |
| 2018 | ALT | Online Learning of Combinatorial Objects via Extended Formulation. | Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan |
| 2018 | ICML | Gradient descent with identity initialization efficiently learns positive definite linear transformations. | Peter L. Bartlett, David P. Helmbold, Philip M. Long |
| 2017 | COLT | Surprising properties of dropout in deep networks. | David P. Helmbold, Philip M. Long |
| 2016 | LATA | Noise Free Multi-armed Bandit Game. | Atsuyoshi Nakamura, David P. Helmbold, Manfred K. Warmuth |
| 2012 | FDG | Evolutionary learning of policies for MCTS simulations. | James Pettit, David P. Helmbold |
| 2011 | ALT | Combining Initial Segments of Lists. | Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold |
| 2011 | ICML | On the Necessity of Irrelevant Variables. | David P. Helmbold, Philip M. Long |
| 2009 | BMVC | Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction. | Damian Eads, Edward Rosten, David P. Helmbold |
| 2007 | COLT | Learning Permutations with Exponential Weights. | David P. Helmbold, Manfred K. Warmuth |
| 2000 | COLT | Leveraging for Regression. | Nigel Duffy, David P. Helmbold |
| 1998 | COLT | Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach. | Claudio Gentile, David P. Helmbold |
| 1997 | COLT | Some Label Efficient Learning Results. | David P. Helmbold, Sandra Panizza |
| 1996 | COLT | On Bayes Methods for On-Line Boolean Prediction. | Nicol Cesa-Bianchi, David P. Helmbold, Sandra Panizza |
| 1996 | ICML | On-Line Portfolio Selection Using Multiplicative Updates. | David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth |
| 1996 | MOBICOM | A Dynamic Disk Spin-Down Technique for Mobile Computing. | David P. Helmbold, Darrell D. E. Long, Bruce Sherrod |
| 1996 | PDPTA | A Class of Synchronization Operations that Permit Efficient Race Detection. | David P. Helmbold, Charles E. McDowell |
| 1995 | COLT | Predicting Nearly as Well as the Best Pruning of a Decision Tree. | David P. Helmbold, Robert E. Schapire |
| 1995 | COLT | A Comparison of New and Old Algorithms for a Mixture Estimation Problem. | David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth |
| 1993 | STOC | How to use expert advice. | Nicol Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth |
| 1992 | COLT | Some Weak Learning Results. | David P. Helmbold, Manfred K. Warmuth |
| 1992 | FOCS | Apple Tasting and Nearly One-Sided Learning | David P. Helmbold, Nick Littlestone, Philip M. Long |
| 1991 | COLT | Tracking Drifting Concepts Using Random Examples. | David P. Helmbold, Philip M. Long |
| 1990 | COLT | Learning Integer Lattices. | David P. Helmbold, Robert Sloan, Manfred K. Warmuth |
| 1990 | ICPP | Analyzing Traces with Anonymous Synchronization. | David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang |
| 1989 | COLT | Learning Nested Differences of Intersection-Closed Concept Classes. | David P. Helmbold, Robert Sloan, Manfred K. Warmuth |
| 1989 | ICPP | Modeling Speedup greater than n. | David P. Helmbold, Charles E. McDowell |
| 1986 | ICPP | Perfect Graphs and Parallel Algorithms. | David P. Helmbold, Ernst W. Mayr |
| 1986 | WG | Applications of Parallel Scheduling to Perfect Graphs. | David P. Helmbold, Ernst W. Mayr |