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stat.ML2021
Uncertainty quantification for distributed regression
Valeriy Avanesov
The ever-growing size of the datasets renders well-studied learning techniques, such as Kernel Ridge Regression, inapplicable, posing a serious computational challenge. Divide-and-…
stat.ML2019
Data-driven confidence bands for distributed nonparametric regression
Valeriy Avanesov
Gaussian Process Regression and Kernel Ridge Regression are popular nonparametric regression approaches. Unfortunately, they suffer from high computational complexity rendering the…
stat.ML2019
How to gamble with non-stationary -armed bandits and have no regrets
Valeriy Avanesov
In -armed bandit problem an agent sequentially interacts with environment which yields a reward based on the vector input the agent provides. The agent's goal is to ma…