Yuri Kalnishkan

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 16

Top Topics

Prediction With Expert Advice

Top Venues

Publications

Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
Temporal distribution of clusters of investors and their application in prediction with expert advice. CoRR (2024)
Najim Al-Baghdadi, Yuri Kalnishkan, David Lindsay, Siân Lindsay
Online Portfolio Hedging with the Weak Aggregating Algorithm. COPA (2022)
Yuri Kalnishkan
Prediction with expert advice for a finite number of experts: A practical introduction. Pattern Recognit. 126 (2022)
Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
Equilibrium Resolution for Epoch Partitioning. AIAI (2) (2022)
Raisa Dzhamtyrova, Yuri Kalnishkan
A lower bound for a prediction algorithm under the Kullback-Leibler game. COPA (2021)
Raisa Dzhamtyrova, Yuri Kalnishkan
Universal algorithms for multinomial logistic regression under Kullback-Leibler game. Neurocomputing 397 (2020)
Najim Al-Baghdadi, David Lindsay, Yuri Kalnishkan, Siân Lindsay
Practical investment with the long-short game. COPA (2020)
Raisa Dzhamtyrova, Yuri Kalnishkan
Competitive Online Quantile Regression. IPMU (1) (2020)
Raisa Dzhamtyrova, Yuri Kalnishkan
Prediction with Expert Advice for Value at Risk. IJCNN (2020)
Raisa Dzhamtyrova, Yuri Kalnishkan
Competitive Online Regression under Continuous Ranked Probability Score. COPA (2019)
Raisa Dzhamtyrova, Yuri Kalnishkan
Competitive Online Generalised Linear Regression with Multidimensional Outputs. IJCNN (2019)
Dmitry Adamskiy, Anthony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan
Aggregating Algorithm for prediction of packs. Mach. Learn. 108 (8-9) (2019)
Najim Al-Baghdadi, Wojciech Wisniewski, David Lindsay, Siân Lindsay, Yuri Kalnishkan, Chris Watkins
Structuring Time Series Data to Gain Insight into Agent Behaviour. IEEE BigData (2019)
Mario Bijelic, Christian Muench, Werner Ritter, Yuri Kalnishkan, Klaus Dietmayer
Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. ITSC (2018)
Dmitry Adamskiy, Tony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan
Aggregating Algorithm for Prediction of Packs. CoRR (2017)
Yuri Kalnishkan
An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies. ALT (2016)
Yuri Kalnishkan, Dmitry Adamskiy, Alexey V. Chernov, Tim Scarfe
Specialist Experts for Prediction with Side Information. ICDM Workshops (2015)
Yuri Kalnishkan, Michael V. Vyugin, Vladimir Vovk
Generalised entropies and asymptotic complexities of languages. Inf. Comput. 237 (2014)
Tim Scarfe, Wouter M. Koolen, Yuri Kalnishkan
A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams. AIAI (2013)
Fedor Zhdanov, Yuri Kalnishkan
An identity for kernel ridge regression. Theor. Comput. Sci. 473 (2013)
Alex J. Gammerman, Yuri Kalnishkan, Vladimir Vovk
On-line Prediction with Kernels and the Complexity Approximation Principle CoRR (2012)
Fedor Zhdanov, Yuri Kalnishkan
Universal Algorithms for Probability Forecasting. Int. J. Artif. Intell. Tools 21 (4) (2012)
Fedor Zhdanov, Yuri Kalnishkan
An Identity for Kernel Ridge Regression CoRR (2011)
Fedor Zhdanov, Yuri Kalnishkan
Linear Probability Forecasting CoRR (2010)
Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
Supermartingales in Prediction with Expert Advice CoRR (2010)
Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
Supermartingales in prediction with expert advice. Theor. Comput. Sci. 411 (29-30) (2010)
Fedor Zhdanov, Alexey V. Chernov, Yuri Kalnishkan
Aggregating Algorithm competing with Banach lattices CoRR (2010)
Fedor Zhdanov, Yuri Kalnishkan
An Identity for Kernel Ridge Regression. ALT (2010)
Fedor Zhdanov, Yuri Kalnishkan
Linear Probability Forecasting. AIAI (2010)
Yuri Kalnishkan, Michael V. Vyugin
The weak aggregating algorithm and weak mixability. J. Comput. Syst. Sci. 74 (8) (2008)
Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
Supermartingales in Prediction with Expert Advice. ALT (2008)
Steven Busuttil, Yuri Kalnishkan
Weighted Kernel Regression for Predicting Changing Dependencies. ECML (2007)
Steven Busuttil, Yuri Kalnishkan
Online Regression Competitive with Changing Predictors. ALT (2007)
Steven Busuttil, Yuri Kalnishkan, Alexander Gammerman
Improving the aggregating algorithm for regression. Artificial Intelligence and Applications (2007)
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
Generalised Entropy and Asymptotic Complexities of Languages. COLT (2007)
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
How many strings are easy to predict? Inf. Comput. 201 (1) (2005)
Yuri Kalnishkan, Michael V. Vyugin
The Weak Aggregating Algorithm and Weak Mixability. COLT (2005)
Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313 (2) (2004)
Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk
On-line Prediction with Kernels and the Complexity Approximation Principle. UAI (2004)
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
A Criterion for the Existence of Predictive Complexity for Binary Games. ALT (2004)
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
How Many Strings Are Easy to Predict? COLT (2003)
Yuri Kalnishkan, Michael V. Vyugin
Mixability and the Existence of Weak Complexities. COLT (2002)
Yuri Kalnishkan
General linear relations between different types of predictive complexity. Theor. Comput. Sci. 271 (1-2) (2002)
Yuri Kalnishkan, Michael V. Vyugin
On the Absence of Predictive Complexity for Some Games. ALT (2002)
Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk
Loss Functions, Complexities, and the Legendre Transformation. ALT (2001)
Yuri Kalnishkan
Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. ECML (2000)
Yuri Kalnishkan
Linear Relations between Square-Loss and Kolmogorov Complexity. COLT (1999)
Yuri Kalnishkan
Genral Linear Relations among Different Types of Predictive Complexity. ALT (1999)