Volodya Vovk

26 papers A* 5A 1B 2Misc 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2016 — conf
Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection.
AISec@CCS
Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro
2015 J jnl
Multiprobabilistic prediction in early medical diagnoses.
Ann. Math. Artif. Intell.
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, Alex Gammerman
2013 J jnl
Learning by Transduction
CoRR
Alex Gammerman, Volodya Vovk, Vladimir Vapnik
2012 J jnl
Conformal predictors in early diagnostics of ovarian and breast cancers.
Prog. Artif. Intell.
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, Alex Gammerman
2012 — conf
Multiprobabilistic Venn Predictors with Logistic Regression.
AIAI (2)
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
2012 A* conf
Plug-in martingales for testing exchangeability on-line.
ICML
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk
2009 Misc conf
Confidence Predictions for the Diagnosis of Acute Abdominal Pain.
AIAI
Harris Papadopoulos, Alex Gammerman, Volodya Vovk
2009 J jnl
Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer.
Comput. J.
Alex 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
2007 — conf
Conformal Prediction with Neural Networks.
ICTAI (2)
Harris Papadopoulos, Volodya Vovk, Alex Gammerman
2004 J jnl
Loss functions, complexities, and the Legendre transformation.
Theor. Comput. Sci.
Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
2002 — conf
Inductive Confidence Machines for Regression.
ECML
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman
2002 — conf
Inductive Confidence Machines for Regression.
AI&M
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman
2002 J jnl
Prediction algorithms and confidence measures based on algorithmic randomness theory.
Theor. Comput. Sci.
Alex Gammerman, Volodya Vovk
2002 — conf
Transductive Confidence Machines for Pattern Recognition.
ECML
Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman
2002 — conf
Transductive Confidence Machines for Pattern Recognition.
AI&M
Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman
2001 — conf
Comparing the Bayes and Typicalness Frameworks.
ECML
Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
2001 B conf
Loss Functions, Complexities, and the Legendre Transformation.
ALT
Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk
2001 — conf
Pattern Recognition and Density Estimation under the General i.i.d. Assumption.
COLT/EuroCOLT
Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman
2001 J jnl
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme.
Theor. Comput. Sci.
Eiji Takimoto, Akira Maruoka, Volodya Vovk
2001 A* conf
Ridge Regression Confidence Machine.
ICML
Ilia Nouretdinov, Thomas Melluish, Volodya Vovk
2000 B conf
Computationally Efficient Transductive Machines.
ALT
Craig Saunders, Alex Gammerman, Volodya Vovk
1999 A* conf
Machine-Learning Applications of Algorithmic Randomness.
ICML
Volodya Vovk, Alexander Gammerman, Craig Saunders
1999 A* conf
Transduction with Confidence and Credibility.
IJCAI
Craig Saunders, Alex Gammerman, Volodya Vovk
1998 A conf
Learning by Transduction.
UAI
Alexander Gammerman, Volodya Vovk, Vladimir Vapnik
1998 A* conf
Ridge Regression Learning Algorithm in Dual Variables.
ICML
Craig Saunders, Alexander Gammerman, Volodya Vovk
1997 — conf
Competitive On-line Linear Regression.
NIPS
Volodya Vovk