Adversarial Weighting for Domain Adaptation in Regression
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Updated
Jun 1, 2022 - Jupyter Notebook
Adversarial Weighting for Domain Adaptation in Regression
(t, m, s)-nets generator / Генератор (t, m, s)-сетей
Wrapper for sampling methods in R and approximate star discrepancy calculation
KH-SGD iteratively reorders datapoints during stochastic gradient descent training to provably accelerate convergence.
SAT campaign against N(k,2) - Erdos problem #176 and OEIS A398541 - with a cold verification gate that must pass before this repo asserts anything.
Issues reported in the official Trello REST API documentation
Service for calculation of discrepancy between of two datasets marketing oriented
Code and data for an empirical square-root law of the degree discrepancy of binary m-sequences. Joonas Pääkkönen. Dr. Sci. Senior lecturer, Department of Information and Data Management, Dalarna University, Borlänge, Sweden.
Generalized Golden Spiral methods for quasi-random low-discrepancy points generation.
Domain Adaptation with Dynamic Open-Set Targets
Exact integer-arithmetic verifiers, agent protocol and current records for minmaxarena.com — a machine-verified record book for extremal geometry
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