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增加对稳定学习的简介
稳定学习是一种在保证机器学习预测性能的前提下，减小其在未知测试集上方差的方法。由于稳定学习假设在测试数据中存在多个环境，对模型的泛化能力有更高的要求。
==机器学习面临的挑战<ref>Peng, C. and A. Susan, Stable learning establishes some common ground between causal inference and machine learning. Nature machine intelligence, 2022. 4(2): p. 110-115.</ref>==
==机器学习面临的挑战<ref>Peng, C. and A. Susan, Stable learning establishes some common ground between causal inference and machine learning. Nature machine intelligence, 2022. 4(2): p. 110-115.</ref>==