Yuri Kalnishkan

52 papers A* 5A 1B 10Misc 2Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	E-variables and tests of randomness for distribution classes. CoRR Georgii Potapov, Yuri Kalnishkan
2026	—	`conf`	Temporal Distribution of Clusters of Investors and Their Application in Prediction with Expert Advice. The Importance of Being Learnable Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
2026	J	`jnl`	Vladimir V'yugin: Short biography and some research contributions. Inf. Comput. Péter Gács, Yuri Kalnishkan, Alexander Shen, Vladimir Vovk
2026	J	`jnl`	Weak Aggregating Algorithm for prediction with expert advice and adversarial bandit frameworks. Inf. Comput. Yuri Kalnishkan
2024	J	`jnl`	Temporal distribution of clusters of investors and their application in prediction with expert advice. CoRR Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
2022	—	`conf`	Equilibrium Resolution for Epoch Partitioning. AIAI (2) Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
2022	—	`conf`	Online Portfolio Hedging with the Weak Aggregating Algorithm. COPA Najim Al-Baghdadi, Yuri Kalnishkan, David Lindsay, Siân Lindsay
2022	J	`jnl`	Prediction with expert advice for a finite number of experts: A practical introduction. Pattern Recognit. Yuri Kalnishkan
2021	—	`conf`	A lower bound for a prediction algorithm under the Kullback-Leibler game. COPA Raisa Dzhamtyrova, Yuri Kalnishkan
2020	—	`conf`	Competitive Online Quantile Regression. IPMU (1) Raisa Dzhamtyrova, Yuri Kalnishkan
2020	—	`conf`	Practical investment with the long-short game. COPA Najim Al-Baghdadi, David Lindsay, Yuri Kalnishkan, Siân Lindsay
2020	B	`conf`	Prediction with Expert Advice for Value at Risk. IJCNN Raisa Dzhamtyrova, Yuri Kalnishkan
2020	J	`jnl`	Universal algorithms for multinomial logistic regression under Kullback-Leibler game. Neurocomputing Raisa Dzhamtyrova, Yuri Kalnishkan
2019	J	`jnl`	Aggregating Algorithm for prediction of packs. Mach. Learn. Dmitry Adamskiy, Anthony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan
2019	B	`conf`	Competitive Online Generalised Linear Regression with Multidimensional Outputs. IJCNN Raisa Dzhamtyrova, Yuri Kalnishkan
2019	—	`conf`	Competitive Online Regression under Continuous Ranked Probability Score. COPA Raisa Dzhamtyrova, Yuri Kalnishkan
2019	—	`conf`	Structuring Time Series Data to Gain Insight into Agent Behaviour. IEEE BigData Najim Al-Baghdadi, Wojciech Wisniewski, David Lindsay, Siân Lindsay, Yuri Kalnishkan, Chris Watkins
2018	—	`conf`	Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. ITSC Mario Bijelic, Christian Muench, Werner Ritter, Yuri Kalnishkan, Klaus Dietmayer
2017	J	`jnl`	Aggregating Algorithm for Prediction of Packs. CoRR Dmitry Adamskiy, Tony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan
2016	B	`conf`	An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies. ALT Yuri Kalnishkan
2015	—	`conf`	Specialist Experts for Prediction with Side Information. ICDM Workshops Yuri Kalnishkan, Dmitry Adamskiy, Alexey V. Chernov, Tim Scarfe
2014	J	`jnl`	Generalised entropies and asymptotic complexities of languages. Inf. Comput. Yuri Kalnishkan, Michael V. Vyugin, Vladimir Vovk
2013	Misc	`conf`	A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams. AIAI Tim Scarfe, Wouter M. Koolen, Yuri Kalnishkan
2013	J	`jnl`	An identity for kernel ridge regression. Theor. Comput. Sci. Fedor Zhdanov, Yuri Kalnishkan
2012	J	`jnl`	On-line Prediction with Kernels and the Complexity Approximation Principle CoRR Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk
2012	J	`jnl`	Universal Algorithms for Probability Forecasting. Int. J. Artif. Intell. Tools Fedor Zhdanov, Yuri Kalnishkan
2011	J	`jnl`	An Identity for Kernel Ridge Regression CoRR Fedor Zhdanov, Yuri Kalnishkan
2010	J	`jnl`	Aggregating Algorithm competing with Banach lattices CoRR Fedor Zhdanov, Alexey V. Chernov, Yuri Kalnishkan
2010	B	`conf`	An Identity for Kernel Ridge Regression. ALT Fedor Zhdanov, Yuri Kalnishkan
2010	J	`jnl`	Linear Probability Forecasting CoRR Fedor Zhdanov, Yuri Kalnishkan
2010	Misc	`conf`	Linear Probability Forecasting. AIAI Fedor Zhdanov, Yuri Kalnishkan
2010	J	`jnl`	Supermartingales in Prediction with Expert Advice CoRR Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
2010	J	`jnl`	Supermartingales in prediction with expert advice. Theor. Comput. Sci. Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
2008	B	`conf`	Supermartingales in Prediction with Expert Advice. ALT Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk
2008	J	`jnl`	The weak aggregating algorithm and weak mixability. J. Comput. Syst. Sci. Yuri Kalnishkan, Michael V. Vyugin
2007	A*	`conf`	Generalised Entropy and Asymptotic Complexities of Languages. COLT Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
2007	—	`conf`	Improving the aggregating algorithm for regression. Artificial Intelligence and Applications Steven Busuttil, Yuri Kalnishkan, Alex Gammerman
2007	B	`conf`	Online Regression Competitive with Changing Predictors. ALT Steven Busuttil, Yuri Kalnishkan
2007	—	`conf`	Weighted Kernel Regression for Predicting Changing Dependencies. ECML Steven Busuttil, Yuri Kalnishkan
2005	J	`jnl`	How many strings are easy to predict? Inf. Comput. Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
2005	A*	`conf`	The Weak Aggregating Algorithm and Weak Mixability. COLT Yuri Kalnishkan, Michael V. Vyugin
2004	B	`conf`	A Criterion for the Existence of Predictive Complexity for Binary Games. ALT Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
2004	J	`jnl`	Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
2004	A	`conf`	On-line Prediction with Kernels and the Complexity Approximation Principle. UAI Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk
2003	A*	`conf`	How Many Strings Are Easy to Predict? COLT Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
2002	J	`jnl`	General linear relations between different types of predictive complexity. Theor. Comput. Sci. Yuri Kalnishkan
2002	A*	`conf`	Mixability and the Existence of Weak Complexities. COLT Yuri Kalnishkan, Michael V. Vyugin
2002	B	`conf`	On the Absence of Predictive Complexity for Some Games. ALT Yuri Kalnishkan, Michael V. Vyugin
2001	B	`conf`	Loss Functions, Complexities, and the Legendre Transformation. ALT Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk
2000	—	`conf`	Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. ECML Yuri Kalnishkan
1999	B	`conf`	Genral Linear Relations among Different Types of Predictive Complexity. ALT Yuri Kalnishkan
1999	A*	`conf`	Linear Relations between Square-Loss and Kolmogorov Complexity. COLT Yuri Kalnishkan