A python package for consensus-based optimization
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Updated
Oct 28, 2025 - Python
A python package for consensus-based optimization
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"
Implementation and comparison of zero order vs first order method on the AdaMM (aka AMSGrad) optimizer: analysis of convergence rates and minima shape
Implementation of defiltering techniques for blurry and noisy images
Implementation (in Python) of iterative methods for black-box image deblurring
Implementation of iterative methods for black-box image deblurring
Implementation of reverse filtering (or defiltering)
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
Algorithms of zero and first order laboratory work of ITMO CT optimization course.
Stochastic optimization research conducted together with Alexander Gasnikov
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