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An Overview of Gaussian process Regression for Volatility Forecasting., , и . ICAIIC, стр. 681-686. IEEE, (2020)Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)., и . CoRR, (2020)Learning General World Models in a Handful of Reward-Free Deployments., , , , , , , и . NeurIPS, (2022)Strongly stable dual-pairing summation by parts finite difference schemes for the vector invariant nonlinear shallow water equations - I: Numerical scheme and validation on the plane., , , , и . J. Comput. Phys., (2025)Towards tractable optimism in model-based reinforcement learning., , , , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 1413-1423. AUAI Press, (2021)Deep Learning for Options Trading: An End-To-End Approach., , и . ICAIF, стр. 487-495. ACM, (2024)A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback., и . Comput. J., 64 (12): 1801-1813 (2021)Thresholded ConvNet ensembles: neural networks for technical forecasting., и . Neural Comput. Appl., 32 (18): 15249-15262 (2020)Portfolio optimization for cointelated pairs: SDEs vs Machine learning., , , и . Algorithmic Finance, 8 (3-4): 101-125 (2020)Humanoid Robot Gait Generator: Foot Steps Calculation for Trajectory Following., , , , , и . TAROS, том 8717 из Lecture Notes in Computer Science, стр. 251-262. Springer, (2014)