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20112021
most citedOnline Learning with Continuous Ranked Probability Score

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

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.LG2019★ 7 cited

Online Learning with Continuous Ranked Probability Score

Vladimir V'yugin, Vladimir Trunov

Probabilistic forecasts in the form of probability distributions over future events have become popular in several fields of statistical science. The dissimilarity between a probab…

cs.LG2018★ 6 cited

Online Aggregation of Unbounded Losses Using Shifting Experts with Confidence

Vladimir V'yugin, Vladimir Trunov

We develop the setting of sequential prediction based on shifting experts and on a "smooth" version of the method of specialized experts. To aggregate experts predictions, we use t…

cs.LG2012★ 1 cited

Universal Algorithm for Online Trading Based on the Method of Calibration

Vladimir V'yugin, Vladimir Trunov

We present a universal algorithm for online trading in Stock Market which performs asymptotically at least as good as any stationary trading strategy that computes the investment a…

cs.LG2011

Calibration with Changing Checking Rules and Its Application to Short-Term Trading

Vladimir Trunov, Vladimir V'yugin

We provide a natural learning process in which a financial trader without a risk receives a gain in case when Stock Market is inefficient. In this process, the trader rationally ch…