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20082025
most citedAggregating Strategies for Long-term Forecasting

9 citations · 32 across the 19 of their papers we have counts for

collaborators

22 papers

cs.LG2025★ 1 cited

Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

We consider the problem of online aggregation of expert predictions with the quadratic loss function. We propose an algorithm for aggregating expert predictions which does not requ…

cs.LG2023

Prediction of Locally Stationary Data Using Expert Advice

Vladimir V'yugin, Vladimir Trunov

The problem of continuous machine learning is studied. Within the framework of the game-theoretic approach, when for calculating the next forecast, no assumptions about the stochas…

cs.IT2022★ 1 cited

Ergodic theorems for algorithmically random points

Vladimir V. V'yugin

This paper is a survey of applications of the theory of algorithmic randomness to ergodic theory. We establish various degrees of constructivity for asymptotic laws of probability…

cs.AI2021

Online Aggregation of Probability Forecasts with Confidence

Vladimir V'yugin, Vladimir Trunov

The paper presents numerical experiments and some theoretical developments in prediction with expert advice (PEA). One experiment deals with predicting electricity consumption depe…

cs.IT2021

Degrees of randomized computability: decomposition into atoms

Vladimir V. V'yugin

In this paper we study structural properties of LV-degrees of the algebra of collections of sequences that are non-negligible in the sense that they can be computed by a probabilis…

cs.LG2019★ 3 cited

Mixability of Integral Losses: a Key to Efficient Online Aggregation of Functional and Probabilistic Forecasts

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

In this paper we extend the setting of the online prediction with expert advice to function-valued forecasts. At each step of the online game several experts predict a function, an…