1 citations · 2 across the 4 of their papers we have counts for
4 papers
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
Rustem Takhanov, Maxat Tezekbayev, Artur Pak +3
The discrete logarithm problem is a fundamental challenge in number theory with significant implications for cryptographic protocols. In this paper, we investigate the limitations…
Long-Tail Theory under Gaussian Mixtures
Arman Bolatov, Maxat Tezekbayev, Igor Melnykov +3
We suggest a simple Gaussian mixture model for data generation that complies with Feldman's long tail theory (2020). We demonstrate that a linear classifier cannot decrease the gen…
A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract
Aknur Karabay, Arman Bolatov, Huseyin Atakan Varol +1
Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms. Leveraging these social…
Empirical Analysis of the AdaBoost's Error Bound
Arman Bolatov, Kaisar Dauletbek
Understanding the accuracy limits of machine learning algorithms is essential for data scientists to properly measure performance so they can continually improve their models' pred…