Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks

Feb-17-2026, 05:03:00 GMT–Neural Information Processing Systems

Our preliminary results suggest that the regularized exponential mechanism can effectively emulate previous empirical and population risk bounds, negating the need for smoothness assumptions for algorithms with polynomial running time.

artificial intelligence, data mining, machine learning, (15 more...)

Neural Information Processing Systems

Feb-17-2026, 05:03:00 GMT

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