Current research efforts in keywords: Large-scale NN training over various architectures, new optimization methods for ML applications, matrix factorization and connections to NNs, acceleration in noncvx settings, implicit regularization, overparameterization, quantum verification, quantum algorithms, X-supervised learning, synchronous vs. asynchronous computation.

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