Volodya Vovk, V. G. Vovk
List of publications from the
| 2009 |
|---|
| 84 | EE | Alexey V. Chernov,
Vladimir Vovk:
Prediction with expert evaluators' advice
CoRR abs/0902.4127: (2009) |
| 83 | EE | Fedor Zhdanov,
Vladimir Vovk,
Brian Burford,
Dmitry Devetyarov,
Ilia Nouretdinov,
Alexander Gammerman:
Online prediction of ovarian cancer
CoRR abs/0904.1579: (2009) |
| 2008 |
|---|
| 82 | EE | Alexey V. Chernov,
Alexander Shen,
Nikolai K. Vereshchagin,
Vladimir Vovk:
On-Line Probability, Complexity and Randomness.
ALT 2008: 138-153 |
| 81 | EE | Vladimir Vovk,
Alexander Shen:
Prequential Randomness.
ALT 2008: 154-168 |
| 80 | EE | Alexey V. Chernov,
Yuri Kalnishkan,
Fedor Zhdanov,
Vladimir Vovk:
Supermartingales in Prediction with Expert Advice.
ALT 2008: 199-213 |
| 79 | EE | Vladimir Vovk,
Fedor Zhdanov:
Prediction with expert advice for the Brier game.
ICML 2008: 1104-1111 |
| 78 | EE | Vladimir Vovk,
Glenn Shafer:
The game-theoretic capital asset pricing model.
Int. J. Approx. Reasoning 49(1): 175-197 (2008) |
| 77 | EE | Vladimir Vovk:
Leading strategies in competitive on-line prediction.
Theor. Comput. Sci. 405(3): 285-296 (2008) |
| 2007 |
|---|
| 76 | EE | Yuri Kalnishkan,
Vladimir Vovk,
Michael V. Vyugin:
Generalised Entropy and Asymptotic Complexities of Languages.
COLT 2007: 293-307 |
| 75 | EE | Vladimir Vovk:
Competing with Stationary Prediction Strategies.
COLT 2007: 439-453 |
| 74 | EE | Harris Papadopoulos,
Volodya Vovk,
Alexander Gammerman:
Conformal Prediction with Neural Networks.
ICTAI (2) 2007: 388-395 |
| 73 | EE | Glenn Shafer,
Vladimir Vovk:
A tutorial on conformal prediction
CoRR abs/0706.3188: (2007) |
| 72 | EE | Vladimir Vovk:
Defensive forecasting for optimal prediction with expert advice
CoRR abs/0708.1503: (2007) |
| 71 | EE | Vladimir Vovk:
Continuous and randomized defensive forecasting: unified view
CoRR abs/0708.2353: (2007) |
| 70 | EE | Vladimir Vovk:
Prediction with expert advice for the Brier game
CoRR abs/0710.0485: (2007) |
| 69 | EE | Alexander Gammerman,
Vladimir Vovk:
Hedging Predictions in Machine Learning: The Second Computer Journal Lecture.
Comput. J. 50(2): 151-163 (2007) |
| 68 | EE | Alexander Gammerman,
Vladimir Vovk:
Rejoinder Hedging Predictions in Machine Learning.
Comput. J. 50(2): 173-177 (2007) |
| 67 | EE | Vladimir Vovk:
Competing with wild prediction rules.
Machine Learning 69(2-3): 193-212 (2007) |
| 66 | EE | Vladimir Vovk:
Non-asymptotic calibration and resolution.
Theor. Comput. Sci. 387(1): 77-89 (2007) |
| 2006 |
|---|
| 65 | EE | Vladimir Vovk:
Leading Strategies in Competitive On-Line Prediction.
ALT 2006: 214-228 |
| 64 | EE | Vladimir Vovk:
Predictions as Statements and Decisions.
COLT 2006: 4 |
| 63 | EE | Vladimir Vovk:
Competing with Wild Prediction Rules.
COLT 2006: 559-573 |
| 62 | EE | Vladimir Vovk:
On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces.
TAMC 2006: 452-463 |
| 61 | EE | Vladimir Vovk:
Predictions as statements and decisions
CoRR abs/cs/0606093: (2006) |
| 60 | EE | Vladimir Vovk:
Competing with stationary prediction strategies
CoRR abs/cs/0607067: (2006) |
| 59 | EE | Vladimir Vovk:
Leading strategies in competitive on-line prediction
CoRR abs/cs/0607134: (2006) |
| 58 | EE | Vladimir Vovk:
Competing with Markov prediction strategies
CoRR abs/cs/0607136: (2006) |
| 57 | EE | Vladimir Vovk:
Metric entropy in competitive on-line prediction
CoRR abs/cs/0609045: (2006) |
| 56 | EE | Alexander Gammerman,
Vladimir Vovk:
Hedging predictions in machine learning
CoRR abs/cs/0611011: (2006) |
| 55 | EE | Vladimir Vovk:
Well-calibrated predictions from on-line compression models.
Theor. Comput. Sci. 364(1): 10-26 (2006) |
| 54 | EE | Ilia Nouretdinov,
Vladimir Vovk:
Criterion of calibration for transductive confidence machine with limited feedback.
Theor. Comput. Sci. 364(1): 3-9 (2006) |
| 2005 |
|---|
| 53 | EE | Vladimir Vovk:
Non-asymptotic Calibration and Resolution.
ALT 2005: 429-443 |
| 52 | EE | Vladimir Vovk:
Defensive Prediction with Expert Advice.
ALT 2005: 444-458 |
| 51 | EE | Vladimir Vovk,
Ilia Nouretdinov,
Akimichi Takemura,
Glenn Shafer:
Defensive Forecasting for Linear Protocols.
ALT 2005: 459-473 |
| 50 | EE | Vladimir Vovk,
Akimichi Takemura,
Glenn Shafer:
Defensive forecasting
CoRR abs/cs/0505083: (2005) |
| 49 | EE | Vladimir Vovk:
Non-asymptotic calibration and resolution
CoRR abs/cs/0506004: (2005) |
| 48 | EE | Vladimir Vovk,
Ilia Nouretdinov,
Akimichi Takemura,
Glenn Shafer:
Defensive forecasting for linear protocols
CoRR abs/cs/0506007: (2005) |
| 47 | EE | Vladimir Vovk:
Competitive on-line learning with a convex loss function
CoRR abs/cs/0506041: (2005) |
| 46 | EE | Vladimir Vovk:
On-line regression competitive with reproducing kernel Hilbert spaces
CoRR abs/cs/0511058: (2005) |
| 45 | EE | Vladimir Vovk:
Competing with wild prediction rules
CoRR abs/cs/0512059: (2005) |
| 44 | EE | Yuri Kalnishkan,
Vladimir Vovk,
Michael V. Vyugin:
How many strings are easy to predict?
Inf. Comput. 201(1): 55-71 (2005) |
| 2004 |
|---|
| 43 | EE | Yuri Kalnishkan,
Vladimir Vovk,
Michael V. Vyugin:
A Criterion for the Existence of Predictive Complexity for Binary Games.
ALT 2004: 249-263 |
| 42 | EE | Alexander Gammerman,
Yuri Kalnishkan,
Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle.
UAI 2004: 170-176 |
| 41 | EE | Vladimir Vovk:
A Universal Well-Calibrated Algorithm for On-line Classification.
Journal of Machine Learning Research 5: 575-604 (2004) |
| 40 | EE | Yuri Kalnishkan,
Volodya Vovk,
Michael V. Vyugin:
Loss functions, complexities, and the Legendre transformation.
Theor. Comput. Sci. 313(2): 195-207 (2004) |
| 2003 |
|---|
| 39 | EE | Ilia Nouretdinov,
Vladimir Vovk:
Criterion of Calibration for Transductive Confidence Machine with Limited Feedback.
ALT 2003: 259-267 |
| 38 | EE | Vladimir Vovk:
Well-Calibrated Predictions from Online Compression Models.
ALT 2003: 268-282 |
| 37 | EE | Vladimir Vovk:
Universal Well-Calibrated Algorithm for On-Line Classification.
COLT 2003: 358-372 |
| 36 | EE | Yuri Kalnishkan,
Vladimir Vovk,
Michael V. Vyugin:
How Many Strings Are Easy to Predict?
COLT 2003: 522-536 |
| 35 | | Vladimir Vovk,
Ilia Nouretdinov,
Alexander Gammerman:
Testing Exchangeability On-Line.
ICML 2003: 768-775 |
| 34 | EE | Vladimir Vovk,
Glenn Shafer,
Ilia Nouretdinov:
Self-calibrating Probability Forecasting.
NIPS 2003 |
| 2002 |
|---|
| 33 | EE | Vladimir Vovk:
Asymptotic Optimality of Transductive Confidence Machine.
ALT 2002: 336-350 |
| 32 | EE | Harris Papadopoulos,
Kostas Proedrou,
Volodya Vovk,
Alexander Gammerman:
Inductive Confidence Machines for Regression.
AMAI 2002 |
| 31 | EE | Kostas Proedrou,
Ilia Nouretdinov,
Volodya Vovk,
Alexander Gammerman:
Transductive Confidence Machines for Pattern Recognition.
AMAI 2002 |
| 30 | EE | Harris Papadopoulos,
Kostas Proedrou,
Volodya Vovk,
Alexander Gammerman:
Inductive Confidence Machines for Regression.
ECML 2002: 345-356 |
| 29 | EE | Kostas Proedrou,
Ilia Nouretdinov,
Volodya Vovk,
Alexander Gammerman:
Transductive Confidence Machines for Pattern Recognition.
ECML 2002: 381-390 |
| 28 | EE | Vladimir Vovk:
On-Line Confidence Machines Are Well-Calibrated.
FOCS 2002: 187-196 |
| 27 | | Harris Papadopoulos,
Vladimir Vovk,
Alexander Gammerman:
Qualified Prediction for Large Data Sets in the Case of Pattern Recognition.
ICMLA 2002: 159-163 |
| 26 | | Alexander Gammerman,
Volodya Vovk:
Prediction algorithms and confidence measures based on algorithmic randomness theory.
Theor. Comput. Sci. 287(1): 209-217 (2002) |
| 2001 |
|---|
| 25 | EE | Yuri Kalnishkan,
Michael V. Vyugin,
Volodya Vovk:
Loss Functions, Complexities, and the Legendre Transformation.
ALT 2001: 181-189 |
| 24 | EE | Ilia Nouretdinov,
Volodya Vovk,
Michael V. Vyugin,
Alexander Gammerman:
Pattern Recognition and Density Estimation under the General i.i.d. Assumption.
COLT/EuroCOLT 2001: 337-353 |
| 23 | EE | Thomas Melluish,
Craig Saunders,
Ilia Nouretdinov,
Volodya Vovk:
Comparing the Bayes and Typicalness Frameworks.
ECML 2001: 360-371 |
| 22 | | Ilia Nouretdinov,
Thomas Melluish,
Volodya Vovk:
Ridge Regression Confidence Machine.
ICML 2001: 385-392 |
| 21 | EE | 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): 179-209 (2001) |
| 20 | EE | V. G. Vovk:
Probability theory for the Brier game.
Theor. Comput. Sci. 261(1): 57-79 (2001) |
| 2000 |
|---|
| 19 | EE | Craig Saunders,
Alexander Gammerman,
Volodya Vovk:
Computationally Efficient Transductive Machines.
ALT 2000: 325-333 |
| 1999 |
|---|
| 18 | | Volodya Vovk,
Alexander Gammerman,
Craig Saunders:
Machine-Learning Applications of Algorithmic Randomness.
ICML 1999: 444-453 |
| 17 | | Craig Saunders,
Alexander Gammerman,
Volodya Vovk:
Transduction with Confidence and Credibility.
IJCAI 1999: 722-726 |
| 16 | | Alexander Gammerman,
Vladimir Vovk:
Kolmogorov Complexity: Sources, Theory and Applications.
Comput. J. 42(4): 252-255 (1999) |
| 15 | | Vladimir Vovk,
Alexander Gammerman:
Complexity Approximation Principle.
Comput. J. 42(4): 318-322 (1999) |
| 14 | | V. G. Vovk:
Derandomizing Stochastic Prediction Strategies.
Machine Learning 35(3): 247-282 (1999) |
| 1998 |
|---|
| 13 | EE | V. G. Vovk,
Chris Watkins:
Universal Portfolio Selection.
COLT 1998: 12-23 |
| 12 | | Craig Saunders,
Alexander Gammerman,
Volodya Vovk:
Ridge Regression Learning Algorithm in Dual Variables.
ICML 1998: 515-521 |
| 11 | | V. G. Vovk:
A Game of Prediction with Expert Advice.
J. Comput. Syst. Sci. 56(2): 153-173 (1998) |
| 1997 |
|---|
| 10 | | V. G. Vovk:
Probability Theory for the Brier Game.
ALT 1997: 323-338 |
| 9 | EE | V. G. Vovk:
Derandomizing Stochastic Prediction Strategies.
COLT 1997: 32-44 |
| 8 | | Volodya Vovk:
Competitive On-line Linear Regression.
NIPS 1997 |
| 7 | | V. G. Vovk:
Learning about the Parameter of the Bernoulli Model.
J. Comput. Syst. Sci. 55(1): 96-104 (1997) |
| 1996 |
|---|
| 6 | EE | V. G. Vovk:
Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables.
COLT 1996: 110-121 |
| 1995 |
|---|
| 5 | EE | V. G. Vovk:
A Game of Prediction with Expert Advice.
COLT 1995: 51-60 |
| 4 | | V. G. Vovk:
Minimum description length estimators under the optimal coding scheme.
EuroCOLT 1995: 237-251 |
| 1994 |
|---|
| 3 | EE | V. G. Vovk:
An Optimal-Control Application of Two Paradigms of On-Line Learning.
COLT 1994: 98-109 |
| 1992 |
|---|
| 2 | | V. G. Vovk:
Universal Forecasting Algorithms
Inf. Comput. 96(2): 245-277 (1992) |
| 1990 |
|---|
| 1 | EE | V. G. Vovk:
Aggregating Strategies.
COLT 1990: 371-386 |
