18 citations · 98 across the 27 of their papers we have counts for
7 papers · 1 filter
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…
Barcodes as Summary of Loss Function Topology
Serguei Barannikov, Alexander Korotin, Dmitry Oganesyan +2
We propose to study neural networks' loss surfaces by methods of topological data analysis. We suggest to apply barcodes of Morse complexes to explore topology of loss surfaces. An…
Wasserstein-2 Generative Networks
Alexander Korotin, Vage Egiazarian, Arip Asadulaev +2
We propose a novel end-to-end non-minimax algorithm for training optimal transport mappings for the quadratic cost (Wasserstein-2 distance). The algorithm uses input convex neural…
Sensors and Game Synchronization for Data Analysis in eSports
Anton Stepanov, Andrey Lange, Nikita Khromov +3
eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professi…
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis
Alexander Korotin, Nikita Khromov, Anton Stepanov +3
eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used…
Visual Fixations Duration as an Indicator of Skill Level in eSports
Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin +2
Using highly interactive systems like computer games requires a lot of visual activity and eye movements. Eye movements are best characterized by visual fixation - periods of time…
Adaptive Hedging under Delayed Feedback
Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
The article is devoted to investigating the application of hedging strategies to online expert weight allocation under delayed feedback. As the main result, we develop the General…