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math.OC2024
Hyperparameter tuning via trajectory predictions: Stochastic prox-linear methods in matrix sensing
Mengqi Lou, Kabir Aladin Verchand, Ashwin Pananjady
Motivated by the desire to understand stochastic algorithms for nonconvex optimization that are robust to their hyperparameter choices, we analyze a mini-batched prox-linear iterat…
math.OC2022★ 1 cited
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization
Kabir Aladin Chandrasekher, Mengqi Lou, Ashwin Pananjady
We consider the problem of estimating the factors of a rank- matrix with i.i.d. Gaussian, rank- measurements that are nonlinearly transformed and corrupted by noise. Consider…