Tag : Minimization

AI/ML

Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization. (arXiv:1912.02967v1 [cs.AI])

Newsemia
Function approximation is a powerful approach for structuring large decision problems that has facilitated great achievements in the areas of reinforcement learning and game playing....
Latest News

Empirical Risk Minimization Under Fairness Constraints

Newsemia
Donini, M; Oneto, L; Ben-David, S; Shawe-Taylor, J; Pontil, M; (2018) Empirical Risk Minimization Under Fairness Constraints. In: Bengio, S and Wallach, H and Larochelle,...
Latest News

An accelerated version of alternating direction method of multipliers for TV minimization in EIT

Newsemia
Javaherian, A; Soleimani, M; Moeller, K; Movafeghi, A; Faghihi, R; (2016) An accelerated version of alternating direction method of multipliers for TV minimization in EIT....
Latest News

Symbol Error Rate Minimization Precoding for Interference Exploitation

Newsemia
Law, KL; Masouros, C; (2018) Symbol Error Rate Minimization Precoding for Interference Exploitation. IEEE Transactions on Communications , 66 (11) pp. 5718-5731. 10.1109/TCOMM.2018.2843784 . Green...

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More

Privacy & Cookies Policy