Volodya Vovk

Publication Activity (10 Years)

Years Active: 1997-2016
Publications (10 Years): 2

Top Topics

Query Performance Prediction

Malware Detection

Logistic Regression

Top Venues

Ann. Math. Artif. Intell.

Publications

Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro
Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. AISec@CCS (2016)
Ilia Nouretdinov, Dmitry Devetyarov, Volodya Vovk, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Mike Waterfield, Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alexander Gammerman
Multiprobabilistic prediction in early medical diagnoses. Ann. Math. Artif. Intell. 74 (1-2) (2015)
Alexander Gammerman, Volodya Vovk, Vladimir Vapnik
Learning by Transduction CoRR (2013)
Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, John Sinclair, Usha Menon, Ian Jacobs, Alexander Gammerman
Conformal predictors in early diagnostics of ovarian and breast cancers. Prog. Artif. Intell. 1 (3) (2012)
Ilia Nouretdinov, Dmitry Devetyarov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, Ian Jacobs, Usha Menon, Alexander Gammerman
Multiprobabilistic Venn Predictors with Logistic Regression. AIAI (2) (2012)
Valentina Fedorova, Alex J. Gammerman, Ilia Nouretdinov, Volodya Vovk
Plug-in martingales for testing exchangeability on-line. ICML (2012)
Harris Papadopoulos, Alexander Gammerman, Volodya Vovk
Confidence Predictions for the Diagnosis of Acute Abdominal Pain. AIAI (2009)
Alexander Gammerman, Volodya Vovk, Brian Burford, Ilia Nouretdinov, Zhiyuan Luo, Alexey Ya. Chervonenkis, Mike Waterfield, Rainer Cramer, Paul Tempst, Josep Villanueva, Musarat Kabir, Stephane Camuzeaux, John Timms, Usha Menon, Ian Jacobs
Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. Comput. J. 52 (3) (2009)
Harris Papadopoulos, Volodya Vovk, Alexander Gammerman
Conformal Prediction with Neural Networks. ICTAI (2) (2007)
Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313 (2) (2004)
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman
Inductive Confidence Machines for Regression. ECML (2002)
Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman
Transductive Confidence Machines for Pattern Recognition. ECML (2002)
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman
Inductive Confidence Machines for Regression. AI&M (2002)
Alexander Gammerman, Volodya Vovk
Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287 (1) (2002)
Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman
Transductive Confidence Machines for Pattern Recognition. AI&M (2002)
Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
Comparing the Bayes and Typicalness Frameworks. ECML (2001)
Eiji Takimoto, Akira Maruoka, Volodya Vovk
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. Theor. Comput. Sci. 261 (1) (2001)
Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman
Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT (2001)
Ilia Nouretdinov, Thomas Melluish, Volodya Vovk
Ridge Regression Confidence Machine. ICML (2001)
Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk
Loss Functions, Complexities, and the Legendre Transformation. ALT (2001)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Computationally Efficient Transductive Machines. ALT (2000)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Transduction with Confidence and Credibility. IJCAI (1999)
Volodya Vovk, Alexander Gammerman, Craig Saunders
Machine-Learning Applications of Algorithmic Randomness. ICML (1999)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Ridge Regression Learning Algorithm in Dual Variables. ICML (1998)
Alexander Gammerman, Volodya Vovk, Vladimir Vapnik
Learning by Transduction. UAI (1998)
Volodya Vovk
Competitive On-line Linear Regression. NIPS (1997)