Helmbold, David P.

30 publications

ALT 2018 Online Learning of Combinatorial Objects via Extended Formulation Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan

COLT 2017 Surprising Properties of Dropout in Deep Networks David P. Helmbold, Philip M. Long

JMLR 2015 On the Inductive Bias of Dropout David P. Helmbold, Philip M. Long

COLT 2012 New Bounds for Learning Intervals with Implications for Semi-Supervised Learning David P. Helmbold, Philip M. Long

JMLR 2012 On the Necessity of Irrelevant Variables David P. Helmbold, Philip M. Long

ALT 2011 Combining Initial Segments of Lists Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold

ICML 2011 On the Necessity of Irrelevant Variables David P. Helmbold, Philip M. Long

JMLR 2009 Learning Permutations with Exponential Weights David P. Helmbold, Manfred K. Warmuth

COLT 2007 Learning Permutations with Exponential Weights David P. Helmbold, Manfred K. Warmuth

MLJ 2006 Modeling, Analyzing, and Synthesizing Expressive Piano Performance with Graphical Models Graham Grindlay, David P. Helmbold

MLJ 2002 Boosting Methods for Regression Nigel Duffy, David P. Helmbold

COLT 2001 Computational Learning Theory, 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, the Netherlands, July 16-19, 2001, Proceedings David P. Helmbold, Robert C. Williamson

COLT 2000 Leveraging for Regression Nigel Duffy, David P. Helmbold

NeurIPS 1999 Potential Boosters? Nigel Duffy, David P. Helmbold

COLT 1998 Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach Claudio Gentile, David P. Helmbold

MLJ 1997 A Comparison of New and Old Algorithms for a Mixture Estimation Problem David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

MLJ 1997 Predicting Nearly as Well as the Best Pruning of a Decision Tree David P. Helmbold, Robert E. Schapire

COLT 1997 Some Label Efficient Learning Results David P. Helmbold, Sandra Panizza

COLT 1996 On Bayes Methods for On-Line Boolean Prediction Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza

ICML 1996 On-Line Portfolio Selection Using Multiplicative Updates David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

MLJ 1996 On-Line Prediction and Conversion Strategies Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth

COLT 1995 A Comparison of New and Old Algorithms for a Mixture Estimation Problem David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth

COLT 1995 Predicting Nearly as Well as the Best Pruning of a Decision Tree David P. Helmbold, Robert E. Schapire

NeurIPS 1995 Worst-Case Loss Bounds for Single Neurons David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth

MLJ 1994 Tracking Drifting Concepts by Minimizing Disagreements David P. Helmbold, Philip M. Long

COLT 1992 Some Weak Learning Results David P. Helmbold, Manfred K. Warmuth

COLT 1991 Tracking Drifting Concepts Using Random Examples David P. Helmbold, Philip M. Long

COLT 1990 Learning Integer Lattices David P. Helmbold, Robert Sloan, Manfred K. Warmuth

MLJ 1990 Learning Nested Differences of Intersection-Closed Concept Classes David P. Helmbold, Robert Sloan, Manfred K. Warmuth

COLT 1989 Learning Nested Differences of Intersection-Closed Concept Classes David P. Helmbold, Robert Sloan, Manfred K. Warmuth