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stat.ML2026
Strong Gaussian Approximation of Constant Learning Rate SGD: Bias and Trajectory Inference
Joseph Keslin, Wei Biao Wu
This paper develops strong Gaussian approximations (KMT type) for constant learning rate stochastic gradient descent (SGD). We work with heavy tailed noise and assume that the numb…
eess.SP2026
Waveform Design for Partial-Time Superimposed ISAC Systems
Xi Nan, Rugui Yao, Ye Fan +4
Nowadays, waveforms of integrated sensing and communication (ISAC) are almost based on conventional communication and sensing signal, which bounds both the communication and sensin…