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On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
This paper considers the optimization problem of the form $\min_{{\bf x}\in{\mathbb R}^d} f({\bf x})\triangleq \frac{1}{n}\sum_{i=1}^n f_i({\bf x})$, where $f(\cdot)$ satisfies the Polyak--{\L}ojasiewicz (PL) condition with parameter $\mu$ and $\{f_i(\cdot)\}_{i=1}^n$ is $L$-mean-squared smooth.
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
This means SGD with heavy-ball momentum is useful in the large-batch settings such as distributed machine learning or federated learning, where a smaller number of iterations can significantly reduce the number of communication rounds, leading to acceleration in practice.
Model Predictive Control for Automotive Climate Control Systems via Value Function Approximation
Among the auxiliary loads in light-duty vehicles, the air conditioning system is the single largest energy consumer.
