Competitive on-line statistics (1999)

by Volodya Vovk
Venue:International Statistical Review
Citations:63 - 10 self

Active Bibliography

134 SCHAPIRE: Adaptive game playing using multiplicative weights – Yoav Freund, Robert E. Schapire - 1999
106 A Game of Prediction with Expert Advice – V. Vovk, V. Vovk - 1997
33 Potential-based Algorithms in On-line Prediction and Game Theory – Nicolo Cesa-Bianchi, Gabor Lugosi
198 Tracking the best expert – Mark Herbster, Manfred, K. Warmuth, Gerhard Widmer, Miroslav Kubat - 1995
2307 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1997
136 Universal prediction – Neri Merhav, Senior Member, Meir Feder, Senior Member - 1998
61 On-line algorithms in machine learning – Avrim Blum - 1998
62 Adaptive and Self-Confident On-Line Learning Algorithms – Peter Auer, Nicolò Cesa-Bianchi, Claudio Gentile - 2000
Theory and Applications of Predictors That Specialize – Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
93 Using and combining predictors that specialize – Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth - 1997
18 Tracking the Best Regressor – Mark Herbster, Manfred K. Warmuth - 1998
16 On Bayesian bounds – Arindam Banerjee - 2006
Lectures on Prediction of Individual Sequences – Gábor Lugosi - 2001
Sequential Decision Making in Non-stochastic Environments by – Jacob Abernethy, Jacob Duncan Abernethy, Jacob Duncan, Abernethy Abstract, Jacob Duncan Abernethy
30 Using Additive Expert Ensembles to Cope with Concept Drift – Jeremy Z. Kolter, Marcus A. Maloof {jzk - 2005
21 Adaptive online prediction by following the perturbed leader – Marcus Hutter, Jan Pol - 2005
Learning Permutations Learning Permutations with Exponential Weights ∗ – David P. Helmbold, Manfred K. Warmuth - 2008
27 Learning permutations with exponential weights – David P. Helmbold, Manfred K. Warmuth - 2007
3 Meta Optimization and its Application to Portfolio Selection – Puja Das, Arindam Banerjee