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cs.LG2026
Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
Sacchit Kale, Piyushi Manupriya, Pierre Marion +2
Gradient descent and stochastic gradient descent are central to modern machine learning, yet their behavior under large step sizes remains theoretically unclear. Recent work sugges…
stat.ML2026
On the Generalization and Robustness in Conditional Value-at-Risk
Dinesh Karthik Mulumudi, Piyushi Manupriya, Gholamali Aminian +1
Conditional Value-at-Risk (CVaR) is a widely used risk-sensitive objective for learning under rare but high-impact losses, yet its statistical behavior under heavy-tailed data rema…