Genral Linear Relations among Different Types of Predictive Complexity. - Yuri Kalnishkan (ALT, 1999)

Linear Relations between Square-Loss and Kolmogorov Complexity. - Yuri Kalnishkan (COLT, 1999)

Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. - Yuri Kalnishkan (ECML, 2000)

On the Absence of Predictive Complexity for Some Games. - Yuri Kalnishkan; Michael V. Vyugin (ALT, 2002)

Mixability and the Existence of Weak Complexities. - Yuri Kalnishkan; Michael V. Vyugin (COLT, 2002)

General linear relations between different types of predictive complexity. - Yuri Kalnishkan (Theor. Comput. Sci., 2002)

A Criterion for the Existence of Predictive Complexity for Binary Games. - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (ALT, 2004)

On-line Prediction with Kernels and the Complexity Approximation Principle. - Alex Gammerman; Yuri Kalnishkan; Vladimir Vovk (UAI, 2004)

Loss functions, complexities, and the Legendre transformation. - Yuri Kalnishkan; Volodya Vovk; Michael V. Vyugin (Theor. Comput. Sci., 2004)

How many strings are easy to predict? - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (Inf. Comput., 2005)

Improving the aggregating algorithm for regression. - Steven Busuttil; Yuri Kalnishkan; Alex Gammerman (Artificial Intelligence and Applications, 2007)

Online Regression Competitive with Changing Predictors. - Steven Busuttil; Yuri Kalnishkan (ALT, 2007)

Generalised Entropy and Asymptotic Complexities of Languages. - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (COLT, 2007)

Weighted Kernel Regression for Predicting Changing Dependencies. - Steven Busuttil; Yuri Kalnishkan (ECML, 2007)

The weak aggregating algorithm and weak mixability. - Yuri Kalnishkan; Michael V. Vyugin (J. Comput. Syst. Sci., 2008)

Linear Probability Forecasting. - Fedor Zhdanov; Yuri Kalnishkan (AIAI, 2010)

Aggregating Algorithm competing with Banach lattices - Fedor Zhdanov; Alexey V. Chernov; Yuri Kalnishkan (CoRR, 2010)

Supermartingales in prediction with expert advice. - Alexey V. Chernov; Yuri Kalnishkan; Fedor Zhdanov; Vladimir Vovk (Theor. Comput. Sci., 2010)

Universal Algorithms for Probability Forecasting. - Fedor Zhdanov; Yuri Kalnishkan (Int. J. Artif. Intell. Tools, 2012)

A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams. - Tim Scarfe; Wouter M. Koolen; Yuri Kalnishkan (AIAI, 2013)

An identity for kernel ridge regression. - Fedor Zhdanov; Yuri Kalnishkan (Theor. Comput. Sci., 2013)

Generalised entropies and asymptotic complexities of languages. - Yuri Kalnishkan; Michael V. Vyugin; Vladimir Vovk (Inf. Comput., 2014)

Specialist Experts for Prediction with Side Information. - Yuri Kalnishkan; Dmitry Adamskiy; Alexey V. Chernov; Tim Scarfe (ICDM Workshops, 2015)

An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies. - Yuri Kalnishkan (ALT, 2016)

Aggregating Algorithm for Prediction of Packs. - Dmitry Adamskiy; Tony Bellotti; Raisa Dzhamtyrova; Yuri Kalnishkan (CoRR, 2017)

Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. - Mario Bijelic; Christian Muench; Werner Ritter; Yuri Kalnishkan; Klaus Dietmayer (ITSC, 2018)

Structuring Time Series Data to Gain Insight into Agent Behaviour. - Najim Al-Baghdadi; Wojciech Wisniewski; David Lindsay; Siân Lindsay; Yuri Kalnishkan; Chris Watkins (IEEE BigData, 2019)

Competitive Online Regression under Continuous Ranked Probability Score. - Raisa Dzhamtyrova; Yuri Kalnishkan (COPA, 2019)

Competitive Online Generalised Linear Regression with Multidimensional Outputs. - Raisa Dzhamtyrova; Yuri Kalnishkan (IJCNN, 2019)

Aggregating Algorithm for prediction of packs. - Dmitry Adamskiy; Anthony Bellotti; Raisa Dzhamtyrova; Yuri Kalnishkan (Mach. Learn., 2019)

Practical investment with the long-short game. - Najim Al-Baghdadi; David Lindsay; Yuri Kalnishkan; Siân Lindsay (COPA, 2020)

Prediction with Expert Advice for Value at Risk. - Raisa Dzhamtyrova; Yuri Kalnishkan (IJCNN, 2020)

Competitive Online Quantile Regression. - Raisa Dzhamtyrova; Yuri Kalnishkan (IPMU (1), 2020)

Universal algorithms for multinomial logistic regression under Kullback-Leibler game. - Raisa Dzhamtyrova; Yuri Kalnishkan (Neurocomputing, 2020)

A lower bound for a prediction algorithm under the Kullback-Leibler game. - Raisa Dzhamtyrova; Yuri Kalnishkan (COPA, 2021)

Online Portfolio Hedging with the Weak Aggregating Algorithm. - Najim Al-Baghdadi; Yuri Kalnishkan; David Lindsay; Siân Lindsay (COPA, 2022)

Equilibrium Resolution for Epoch Partitioning. - Wojciech Wisniewski; Yuri Kalnishkan; David Lindsay; Siân Lindsay (AIAI (2), 2022)

Prediction with expert advice for a finite number of experts: A practical introduction. - Yuri Kalnishkan (Pattern Recognit., 2022)

Temporal distribution of clusters of investors and their application in prediction with expert advice. - Wojciech Wisniewski; Yuri Kalnishkan; David Lindsay; Siân Lindsay (CoRR, 2024)