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stat.ML2026
SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws
Konstantinos Christopher Tsiolis, Denny Wu, Christos Thrampoulidis +1
We study the training dynamics of multiclass logistic regression on high-dimensional Gaussian mixture models with a large number of classes and establish precise scaling laws gover…
stat.ML2026
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
Alireza Mousavi-Hosseini, Murat A. Erdogdu
We study post-training linear autoregressive models with outcome and process rewards. Given a context , the model must predict the response …