Robuta

https://openreview.net/forum?id=pKilnjQsb0 Implicit Bias and Fast Convergence Rates for Self-attention | OpenReview We study the fundamental optimization principles of self-attention, the defining mechanism of transformers, by analyzing the implicit bias of gradient-based... implicit bias fast convergence self attention rates openreview https://openreview.net/forum?id=ZBB8EFO7ma Aiming towards the minimizers: fast convergence of SGD for overparametrized problems | OpenReview Modern machine learning paradigms, such as deep learning, occur in or close to the interpolation regime, wherein the number of model parameters is much larger... fast convergence https://arxiv.org/abs/1510.00086 [1510.00086] Fast Convergence in the Double Oral Auction Abstract page for arXiv paper 1510.00086: Fast Convergence in the Double Oral Auction fast convergence in the double oral 1510 00086 https://www.ornl.gov/research-highlight/elastic-distributed-training-fast-convergence-and-efficient-resource-utilization Elastic Distributed Training with Fast Convergence and Efficient Resource Utilization distributed training fast convergence elastic efficient resource https://openreview.net/forum?id=VCJ8NfVrcO Fast Convergence of Softmax Policy Mirror Ascent | OpenReview Natural policy gradient (NPG) is a common policy optimization algorithm and can be viewed as mirror ascent in the space of probabilities. Recently, Vaswani et... fast convergence softmax policy mirror ascent https://arxiv.org/abs/0802.3992 [0802.3992] Polynomial Filtering for Fast Convergence in Distributed Consensus Abstract page for arXiv paper 0802.3992: Polynomial Filtering for Fast Convergence in Distributed Consensus fast convergence 0802 3992 polynomial filtering