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David Helmbold

Affiliations: 
University of California, Santa Cruz, Santa Cruz, CA, United States 
Area:
Computer Science
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"David Helmbold"
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Parents

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Children

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Nigel P. Duffy grad student 2001 UC Santa Cruz
Damian R. Eads grad student 2011 UC Santa Cruz

Collaborators

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Darrell D. E. Long collaborator
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Publications

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Bartlett PL, Helmbold DP, Long PM. (2019) Gradient Descent with Identity Initialization Efficiently Learns Positive-definite Linear Transformations by Deep Residual Networks. Neural Computation. 1-26
Warmuth MK, Koolen WM, Helmbold DP. (2011) Combining initial segments of lists Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6925: 219-233
Wang O, Lodha SK, Helmbold DP. (2007) A Bayesian approach to building footprint extraction from aerial LIDAR data Proceedings - Third International Symposium On 3d Data Processing, Visualization, and Transmission, 3dpvt 2006. 192-199
Lodha SK, Kreps EJ, Helmbold DP, et al. (2007) Aerial LiDAR data classification using Support Vector Machines (SVM) Proceedings - Third International Symposium On 3d Data Processing, Visualization, and Transmission, 3dpvt 2006. 567-574
Lodha SK, Fitzpatrick DM, Helmbold DP. (2007) Aerial lidar data classification using AdaBoost 3dim 2007 - Proceedings 6th International Conference On 3-D Digital Imaging and Modeling. 435-442
Helmbold DP, Warmuth MK. (2007) Learning permutations with exponential weights Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4539: 469-483
Helmbold DP, Warmuth MK. (2007) Learning permutations with exponential weights Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4539: 469-483
Grindlay G, Helmbold D. (2006) Modeling, analyzing, and synthesizing expressive piano performance with graphical models Machine Learning. 65: 361-387
Duffy N, Helmbold D. (2002) Boosting methods for regression Machine Learning. 47: 153-200
Duffy N, Helmbold D. (2002) A geometric approach to leveraging weak learners Theoretical Computer Science. 284: 67-108
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