Yuri Kalnishkan

Pattern Recognit., 2022

Equilibrium Resolution for Epoch Partitioning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Online Portfolio Hedging with the Weak Aggregating Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021

A lower bound for a prediction algorithm under the Kullback-Leibler game.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020

Universal algorithms for multinomial logistic regression under Kullback-Leibler game.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Competitive Online Quantile Regression.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Prediction with Expert Advice for Value at Risk.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Practical investment with the long-short game.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Aggregating Algorithm for prediction of packs.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Competitive Online Generalised Linear Regression with Multidimensional Outputs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Competitive Online Regression under Continuous Ranked Probability Score.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Structuring Time Series Data to Gain Insight into Agent Behaviour.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Robustness Against Unknown Noise for Raw Data Fusing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Aggregating Algorithm for Prediction of Packs.

[BibT_eX]

[DOI]

CoRR, 2017

2016

An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2015

Specialist Experts for Prediction with Side Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Generalised entropies and asymptotic complexities of languages.

[BibT_eX]

[DOI]

Inf. Comput., 2014

2013

An identity for kernel ridge regression.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2013

A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams.

[BibT_eX]

[DOI]

Tim Scarfe

Wouter M. Koolen

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012

Universal Algorithms for Probability Forecasting.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2012

2010

Supermartingales in prediction with expert advice.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2010

Aggregating Algorithm competing with Banach lattices

[BibT_eX]

[DOI]

Alexey V. Chernov

CoRR, 2010

Linear Probability Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2008

The weak aggregating algorithm and weak mixability.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2008

2007

Weighted Kernel Regression for Predicting Changing Dependencies.

[BibT_eX]

[DOI]

Steven Busuttil

Proceedings of the Machine Learning: ECML 2007, 2007

Generalised Entropy and Asymptotic Complexities of Languages.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Online Regression Competitive with Changing Predictors.

[BibT_eX]

[DOI]

Steven Busuttil

Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007

Improving the aggregating algorithm for regression.

[BibT_eX]

Steven Busuttil

Alex Gammerman

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2005

How many strings are easy to predict?

[BibT_eX]

[DOI]

Inf. Comput., 2005

2004

Loss functions, complexities, and the Legendre transformation.

[BibT_eX]

[DOI]

Volodya Vovk

Theor. Comput. Sci., 2004

On-line Prediction with Kernels and the Complexity Approximation Principle.

[BibT_eX]

[DOI]

Alex Gammerman

Proceedings of the UAI '04, 2004

A Criterion for the Existence of Predictive Complexity for Binary Games.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2002

General linear relations between different types of predictive complexity.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2002

Mixability and the Existence of Weak Complexities.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory, 2002

On the Absence of Predictive Complexity for Some Games.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2000

Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999

Linear Relations between Square-Loss and Kolmogorov Complexity.

[BibT_eX]

[DOI]

Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

Genral Linear Relations among Different Types of Predictive Complexity.

[BibT_eX]

[DOI]