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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…
On seeded subgraph-to-subgraph matching: The ssSGM Algorithm and matchability information theory
Lingyao Meng, Mengqi Lou, Jianyu Lin +2
The subgraph-subgraph matching problem is, given a pair of graphs and a positive integer , to find vertices in the first graph, vertices in the second graph, and a bijec…
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…